Podcasts about data cloud

In de nieuwste aflevering van Techzine Talks wordt de recente overname van Informatica door Salesforce voor 8 miljard dollar onder de loep genomen. Deze strategische overname laat zien hoe belangrijk data is voor AI en daarmee voor de strategie van Salesforce. Wat maakt deze overname nu zo belangrijk? Coen en Sander analyseren de overname, wat dit betekent voor de markt en voor organisaties.Wat kun je verwachten in deze aflevering?- Diepgaande analyse van de technologie die Informatica toevoegt aan het Salesforce-ecosysteem;- Inzicht in de data-strategie achter deze overname en hoe deze past in Salesforce's AI-ambities;- Vergelijking met eerdere grote overnames zoals Slack, MuleSoft en Tableau;- Toekomstperspectief voor klanten van beide platformsWaarom is deze overname zo belangrijk?Informatica, een meer dan 30 jaar oud bedrijf gespecialiseerd in data-integratie, master data management en data governance, brengt cruciale technologie naar Salesforce die essentieel is voor het succes van AI-oplossingen. Waar MuleSoft sterk is in connectiviteit, blinkt Informatica uit in dataverwerking en -kwaliteit. Dat is precies wat nodig is voor Salesforce's Data Cloud, Einstein en Agentforce.De aflevering belicht hoe deze overname past in een breder patroon waarbij alle grote technologiebedrijven (Microsoft, Oracle, Google, AWS) investeren in 'data fabric'-technologieën als fundament voor hun AI-strategie.Hoofdstukken:02:15 - Wat is Informatica en waarom is het waardevol? 04:30 - Vergelijking met eerdere Salesforce-overnames (Slack, MuleSoft, Tableau) 07:45 - Data-integratie: MuleSoft vs. Informatica - de verschillen 10:20 - De cloud-transitie van Informatica's legacy-producten 13:40 - AI-strategie: Waarom data cruciaal is voor Salesforce's toekomst 16:55 - De concurrentiestrijd: Waarom IBM en anderen ook interesse hadden 22:10 - Integratiemogelijkheden binnen het Salesforce-ecosysteem 25:45 - Data Fabric: De grotere visie achter deze overname 28:00 - Conclusie: Wat betekent dit voor de enterprise-technologiemarkt?#SalesforceInformatica #TechOvername #DataIntegratie #SalesforceDataCloud #EnterpriseAI #DataManagement #CloudComputing #MasterDataManagement #TechStrategie #DataFabric #SalesforceEcosysteem #EnterpriseData #AIToekomst #TechAnalyse #DataGovernance

Dive into the future of enterprise data with the latest episode of Tech-Driven Business. Mustansir Saifuddin welcomes Shawn Brown, of SAP, for Part 1 of an in-depth exploration of the SAP Business Data Cloud (BDC). If you're navigating the complexities of data management and analytics within the SAP ecosystem, this episode is unmissable. Shawn breaks down the fundamental 'why' behind BDC, revealing how it's engineered to drastically reduce data preparation time, cut costs, and empower businesses to make faster, more accurate decisions. Tune in to understand how you can your team can take advantage of all that BDC offers to SAP customers looking to unlock true value from their data. With over two decades of experience in SAP solutions, Shawn Brown currently serves as Senior Director for SAP's Center of Excellence. Known for expertly identifying customer needs, Mr. Brown excels in presenting tailored solutions involving Business Technology Platform, Business Data Cloud, S4HANA, and Business AI. A proven leader in demand generation and partner relationship management, Mr. Brown has successfully driven initiatives that enhance customer experience and streamline cloud solution adoption. Renowned as a thought leader and strategist, Mr. Brown frequently shares insights with CIOs and business influencers, fostering strong, trust-based relationships across multiple industries.   Connect with Us: LinkedIn: Shawn Brown:  Mustansir Saifuddin:  Innovative Solution Partners  X:  @Mmsaifuddin YouTube or learn more about our sponsor Innovative Solution Partners to schedule a free consultation.    Episode Transcript [00:00:00] Mustansir Saifuddin: Welcome to Tech- Driven Business, brought to you by Innovative Solution Partners. I'm honored to have Sean Brown of SAP join me to kick off an essential two part series to unpack a topic that's on every SAP user's mind. The Business Data Cloud or BDC. If you're looking to understand how BDC can transform your data landscape and drive real business value, you are in the right place. [00:00:32] . [00:00:32] Welcome to Tech- Driven Business, Shawn. How are you? [00:00:35] Shawn Brown: I am good. I'm good. Things are going well, staying busy. [00:00:38] Mustansir Saifuddin: That's awesome. That's awesome. So glad to have you on our show and I'm really excited for the topic that we are going to discuss today. You ready for it? [00:00:47] Shawn Brown: I am. I'm excited as well. [00:00:51] Mustansir Saifuddin: Yeah, so I, I know we had talked in the past a couple of times and right now , the hot topic everybody's talking about from SAP and in general is the whole idea, the concept, and now the actual product called Business Data Cloud and what it really means for SAP customers. I like to use this time to dig deeper into this conversation and have a better understanding of exactly what this brings, what kind of landscapes that are changing with this new product, and to expect, you know, if you're a customer interested into, in going forward with BDC. [00:01:28] Shawn Brown: -. [00:01:28] Sure. That sounds great. Yeah. [00:01:32] Mustansir Saifuddin: Awesome. Okay. So I think every time we, we have this new products, right? And SAP is really good about and talk, people talk about rebranding and all that. Let's talk about the why of why should SAP customers adopt BDC. What is different about BDC that SAP customers should be asking that question. [00:01:53] Why? [00:01:55] Shawn Brown: Yeah, this is, this is my favorite question to start. Anything in the space that is outside of packaged solutions, you know ERP, HR Supply Chain and, and the capabilities we have in those areas because the why is something that it, it should be the driver for everything. Right? And, and for BDC, I would say the first thing we wanna talk about is it's a, it's a new product. [00:02:24] But it's an evolution of everything that we've been doing for years. It's, it's capabilities that our customers already know about. And it's taking all of the capabilities that we have offered over the time that we've been, been in the data and analytics space. And it's the, I call it a next generation, right? [00:02:45] It's the next generation of what was. And so when we get into the why. I would say the first thing that we really gotta say is, is the reason for BDC is it is to short circuit the amount of time it takes to prepare from data to finally analytics and planning and all the steps in between, where we're often times organizations see it as this, this wheel that. [00:03:15] They start with the data that's in the source system. They're gonna extract a, transform it loaded profile it, catalog it you know, press governance on it. Maybe make it in, you know, in a marketplace setting. Organize it so that it can be easily digestible, create some standard analytics, and then now we can actually start analyzing it. [00:03:34] And the why is really about reducing the amount of time it takes to go around that whole wheel of, Data all the way around to analytics and planning and reduce the amount of prep time and increase the amount of analysis time. Because if we think about how much time a person gets to analyze the [00:04:00] data, let's say for example, and this is a, this is actually a number that is, has been verified with numerous customers and with, the analyst firms like Gartner and Forrester and TDWI is that it takes as much as 70% or more of the actual workload and investment to go from data to analytics. That's not, so that means the analytics is just 30% or less of the time. So if we think about how much each question costs. You have to add in all of that cost that even deliver up the analytical or, or deliver up the, the data in a way that it can be analyzed. [00:04:45] So BDCs goal is to shrink that time of preparation and actual delivery of data for the analyst purpose or for the AI purpose, or for any application purpose. Shrink it as much as possible so that, the questions that are asked are cheaper, and essentially we can ask more questions. We don't have to continue to reformat the data, deliver the data in a new way to get to the final answers that we're trying to seek. [00:05:20] So I would say savings and costs. Savings and money. More data, more, more analysis time. That's the why for BDC. [00:05:31] Mustansir Saifuddin: Yeah, it totally makes sense. I think one of the things that while you're talking about this that stuck out for me was, we always talk about time value, right? And, especially when it comes to analytics, It's such a critical part of any organization's path forward and the numbers that you're just sharing from Gartner and other resources, [00:05:51] where if the majority of the time is gone into the data collection, the data refinement, all that, there's no time left or a very minimal time for your analytics part, which makes it really difficult for organizations to make quick decisions. So I think what I'm hearing from you, the why: the time value becomes very important in this case. [00:06:13] Shawn Brown: Correct. Absolutely. [00:06:16] Mustansir Saifuddin: That's good because that kind of takes me into this conversation, like, Hey, benefits. When you have that, why understood, what are some of the benefits that BDC will provide to SAP customers who want to go on the journey? Because benefits is really the reason why it will make sense for them to move forward. [00:06:33] Shawn Brown: For sure, for sure. And this is the one that's always interesting for organizations because they're focused so much on the actual preparation of the data that oftentimes the benefits that they can glean from all of that effort are, are fleeting, so they look at the, the overall effort and they go, oh yeah, there's, there's a lot here that is really based on, on how much it took to get here. [00:07:01] And the faster we can deliver the capabilities for analysis purposes for any AI purposes, the faster we can make decisions. The faster we can adjust based on those decisions. And so when you think about the speed at which organizations operate, to be able to answer those questions faster is probably the number one benefit that you can get. [00:07:27] And then you also get into accuracy. What, what questions are we asking? And if we don't have to go through this rigorous effort of moving data from all of these source systems and joining it all back together, and then building all that business context. Data integrity, is that a, a concern? It is for most organizations, they're concerned about what this looks like at its end state. [00:07:57] And the other thing that still [00:08:00] exists in the world of business, especially in the analytics space, is the typical spread marked problem. Where people just take the data that they're looking for, they extract it out of whatever solution it's been delivered to them. Maybe it's cheap cloud storage on flat files, or maybe it's been all dumped into an ODS, an operational data store, and then they're accessing the data as they like. [00:08:26] If they don't understand the details of the data and the relationships that occur with the data, and they don't have the original business context that the data came from in its source system, then if they do extract it to whatever they like, then somebody can walk into a meeting with one version of the truth and another can walk in with another version of the truth. [00:08:48] They all can believe that they're accurate. They all can argue over why their version of truth is correct and the others is not. So the confidence in the data is the other thing. We take away a lot of those concerns, because when you have it coming from those source systems and the preparation of that data has been provided in this case by SAP, for SAP systems, at a minimum, you're going to have much more confidence that the data [00:09:17] is delivered to you in a way that respects all of the integrity that it came from. That the accuracy of the data is as accurate as it was entered into the business application upon which it was the source. So the speed of delivery, the accuracy of the data. These are, these are major advantages that you get with regards to using BDC versus [00:09:43] the, the older school, I'll call it older school 'cause I'm an old guy. The old days of Bill Inman and star schemas and relational database systems that we created. These massive data warehouses. It's an older school thought, and it was one that was born outta this idea that we had to get the data from those source systems because we couldn't query the source systems at runtime. [00:10:06] All those things contribute to, to today where we're curating the data for you. It's been curated by SAP from all SAP systems, so if you have any questions about the quality of the data, in that case, you then you should have questions about the quality of your data in its source. there's a bigger issue, so speed of delivery, accuracy of data. [00:10:32] Those are probably my, my two top benefits that customers are going to get out of this. [00:10:38] Mustansir Saifuddin: Absolutely. That makes total sense. I think one of the things that really stuck out for me was the whole concept of end-to-end governance . Does BDC do a better job? And how, is that integrated to this whole BDC realm of the different pieces that makes up BDC? How is data governance and security working within those parameters? [00:11:03] Shawn Brown: Yeah. So in BDC, you're getting role level security on all the data. At that point then you're asking questions like, where do I, how do my users access the data? What are they allowed to see? What are they not allowed to see? All those capabilities can be integrated into BDC. You, you can deliver all of those capabilities directly within BDC. [00:11:27] You start off by setting up some broader, who's the, who's the group? What systems are they accessing? So if I'm in finance and I'm looking at finance data, I probably have access to let's say S/4HANA as the backend system that is storing all this data. All the users within the finance team that have access to S/4HANA can have access to that space of data. [00:11:55] And I use that word space because this is a concept that, again, there's nothing [00:12:00] new. We've invited these concepts into our thinking a while ago, and now it's just another generation of what we're doing here. So that idea of a space is I can include the data that is necessary for a line of business hr, finance, supply chain, and that's what they can see. [00:12:20] And if I need to, all of the rest of the data is accessible through BDC. It's just a question of whether I want to provide the rights to access those other data sets to another line of business, for example. So if I said I wanted to join let's say expense information that's in Concur with employee information, that's in success factors, I can easily join those data sets [00:12:48] bring in forward, from one space to another. And decide at a row level and column level, what individual data set I need to join across groups or individuals, if you will. [00:13:06] Mustansir Saifuddin: I think that's super good because that's where a lot of the questions come in. You know, every time you do move your data from one environment to another environment that you need to have your own new set of governance and security and, it can be role level security or whatever else you wanna do, [00:13:21] you have to kind of redefine that. It seems like it's all built into the BDC portfolio. You're leveraging your source system objects and then be able to apply the same rules that you may have built in. [00:13:37] Shawn Brown: Yeah, the, the analogy I always liked was it's kind of like, and I don't know if they're really like this. I mean, maybe there are not. I just remember old movies that you'd have these Japanese styled homes and they were like, the walls that were almost paper thin, that you could, you almost felt like you could just push your hand right through the wall and just grab something that was in the other room. [00:13:57] I liken it a bit like that in terms of spaces. The spaces are separated in that way with a, a level of access that is very simple to provide when necessary, but distinctly in separate spaces, separate areas, so that that's the benefit. That's the simplicity of being able to access data from any LOB or any third party for that matter. [00:14:23] If you wanted to access that third party data in BDC to any other data that's in BDC as well, whether it's finance, hr, supply chain, whatever it may be, warehouse inventory, whatever it may be. [00:14:38] Mustansir Saifuddin: Totally. Now, since we talked about the benefits, let's look into the details. Like what steps are involved if someone wants to take on this journey and move to SAP BDC? [00:14:53] Shawn Brown: Much of that begins with where are they right now? Let's take a few different scenarios? if a customer is, let's say, already using some SAP solutions, I would say, let's go with the most rudimentary that has been around for a while now for SAP. Let's talk about, they're using HANA Enterprise. [00:15:09] They've, they've been taking a lot of data from their SAP systems and dropping it into HANA Enterprise on-prem. This is a natural next step to that on-premise approach where you said, all right, I, I don't necessarily wanna be in the position of housing systems like this myself and my own data centers. [00:15:28] I want to put them into the cloud. This is a simple transition , to take the data from a HANA Enterprise, drop it into BDC and start using that data in essentially what would be a component of BDC, Datasphere. But it's built on HANA Cloud. And HANA Cloud is built on the same technology that HANA Enterprise is built on that in terms of its capabilities, what it can do. [00:15:52] It's a natural transition for that case if you're talking about a customer that's already using let's say another old product from [00:16:00] SAP, BW. Right. BW has been a really challenging one for a lot of organizations because they've had such value and such benefit by using BW to access data in SAP with those BW extractors. [00:16:14] And in many cases, they've built a lot of and invested a lot in BW in the framework itself. Creating their own objects, creating their own cubes, creating asos, DSOs and so forth, depending on what versions of BW you're on. Not necessarily wanting to just abandon that investment. There's another great example of is, once you're, once you're at least BW 7.5 and above, we make it very simple for you to go ahead and take all of that in BW investment and move it directly into BDC in its format, in its same format as a BW environment. [00:16:54] BW for HANA, same thing, move it right into BDC, it would be in a cloud-based environment that way as well. And essentially all of those connections back to the source systems still persist. When we talk about how do we take advantage of the investments you have, that's where you say, all right, well, I can access them through the BDC framework in [00:17:16] BW that is now part of BDC and use it for whatever purpose I leave it in BW in that case, or I can start taking those particular assets that I have in BW and using the data product generator that is now part of BW embedded in BDC, I can then change those assets in BW to data products. Which is the lowest level form of data that we have in BDC, and in this case, just for those that may be listening and wondering, am I copying the data? [00:17:51] Yes . And we can come to this in a minute as to why you're copying the data, but we are copying the data from its source system, and we would be copying the data from BW as well, where we wanted to make it a data product in BDC. And we can talk about why that is in a minute. 'cause it's a shift. It, it's a bit of a shift in terms of what we've talked about in the past with regards to a whole play the data where it lies, federate versus materialize [00:18:18] that data in, what was Datasphere, which is now part of BDC. That idea of moving those assets from BW into BDC as data products, over time allows us to decommission those, those deployments of BW. So that's the benefit is, we now have a path for BW customers to migrate to BDC, [00:18:45] not give up those assets that they've created and leveraged for so many years in BDC, and then over time decommission BW altogether. Or, if you're really interested and you really like using BW, keep it. That's the other benefit of moving a BW 7.5 environment to BDC is, you're gonna get three more years of mainstream maintenance. [00:19:09] And for example, for BW/4HANA, we're pushing that end of life date all the way out to 2040. That's a long time that you can hold onto that BW environment if that's what you choose to do. But the benefit of BDC is that we're going to give you the mechanism to actually migrate it over and then as your backend systems, particularly like S4 changes, [00:19:31] you're gonna need to change a lot of what you're doing from a BW extraction anyway. Don't do it in BW anymore. Do it in BDC. Now, those are some of the SAP scenarios, but some of the ones that I get as well are, we already have a strategy with our SAP data. We're pulling it into S3 buckets. [00:19:55] Azure Data Factory, Snowflake , all of these third [00:20:00] party extraction destinations and why would I go ahead and use BDC in that case? And the reality is, you have to ask yourself this question where we started in the first place. How much time and energy are you spending going from data all the way around that wheel to analytics? [00:20:20] If you're like the typical organization and it's north of 70%, 80%, 90% as a CIO, I heard last week talking about this, 90% of their time is spent just moving data to get it prepared for analysis. How much do you want to continue to do that? And nobody likes to be looked at as a cost center. Everybody likes to be seen as somebody that is providing value to the organization. [00:20:50] If you're part of an organization and you are seen as a cost center, because the amount of energy it takes to get the data from where it sits to where it needs to be is exorbitant, nine tenths maybe of the overall cost of asking those questions. That's not a great place to be. If you can shrink that as much as possible, then you can actually live up to some of those things that everybody would like to say. [00:21:19] Like, data is the new gold, data is the new oil. The value of data is, is immeasurable. We can do so much with our business because of the data. We could be a data-driven organization. All of these things can become possible, but not so easy when nine tenths or eight tenths of the cost, it's just getting the data where it needs to be. [00:21:44] That's the big thing that needs to be focused on as it relates to some of these ideas that let's go ahead and do the, what I still call old school extract, transform, load, model, profile, catalog govern and, create all of the overhead that is necessary to actually deliver those analytics back to the organization. [00:22:07] And if, you're in a part of your organization where you think it's good enough for me to just extract all the data and drop it over here and let the business go have fun, that's another one where you're not providing additional value to the organization. [00:22:19] What the business community really wants is they want curated data that is business context aware, that is in a position to help them answer questions out of the box, push button. An actual software as a service. That's what we've got with BDC. So this idea that of you've already got a strategy in place, [00:22:44] it might be working right now because you did a ton of work to get you where you are. But here's the kicker. It's probably all going to change, maybe not next year, but maybe two years or three years, maybe the next time you do some major upgrade and we've become more efficient in terms of how we store the data in the business applications, or, [00:23:12] any of the other business applications that you use, they change their underlying architecture in how they are actually storing the data in those source systems. Guess what just changed with your data strategy? Potentially everything. And we have customers that this has happened to them. Where I've walked into a huge SAP customer and I had a conversation with him where I said, we're gonna go ahead, and this is before we had two separate entities of BDC and BTP. And I walked into this session with the customer and said, here's what we're gonna do. [00:23:43] We're gonna go ahead and tell you everything that we can do in the space of data and analytics and everything within the platform space. And the customer said, I don't think we really need to hear about your data and analytics strategy, because we're pretty well set on that. And I said, I want to talk to you about all these things and I need to talk to you [00:24:00] about this one as well. [00:24:01] This one's not negotiable. I need whoever's responsible for data and analytics to be in the room to discuss this. And that person did arrive and that person pretty much felt like they had everything figured out. They didn't wanna, engage in the conversation at all. Pretty much arms crossed throughout most of the most of the meeting. [00:24:19] And we finally got to a point where they said, all right, I can see that there's some benefits, you know, to how this works. But I'll tell you, they were on ECC on HANA. And so fast forward six months and they're negotiating the RISE opportunity with S4/HANA in a private cloud and RISE, and they now realize that everything needs to be changed. [00:24:50] It's good that we had this conversation with them about how you can access the SAP data through, at the time, Datasphere, which is now Business Data Cloud, because they now understand that for them to be able to get access to the data in the way they want, the fastest way they want, and for the fact that we're curating all that data for them, and then providing them out of the box insights with our insight apps. [00:25:14] This is pretty much a no brainer in their part. They knew that they had to explore it, and they knew they had to explore it for the SAP centric question, but also for the non SAP centric question where they want to pull smaller data sets to non SAP capabilities because we are gonna curate those scenarios through data products that will allow them to pull that data into those non SAP scenarios. [00:25:40] So this, these are some of the big plays, we've got that existing SAP solutions, we've got that non SAP centric approach. And then, ultimately, if you haven't got to the point that you're deciding what you're going to do or you haven't don't have a very mature data strategy, maybe you're a growing company, at some point you're going to need to go ahead and start asking those data and analytics questions. [00:26:05] Just know that it's very expensive, as I've said before, to move the data from one place to another, place it there, do all of those things that we've talked about in the past, and then deliver analytics, just pull it out of the box. The last comment I'll make is "that pull it out of the box" sometimes that's not as useful as we think it is. [00:26:25] If I said, you have to dig a hole, it's 10 feet deep and you started from ground level, you have 10 feet to dig. But if I gave you something that got you 50% of the way, I dug five feet for you, I dug six feet for you, would you rather just dig five more feet or four more feet, or would you just rather start from ground level and dig 10 feet on your own? [00:26:48] That's the value that we were trying to demonstrate through BDC. [00:26:53] Mustansir Saifuddin: Good explanation. And I think it is really clear that a lot of times conversations come up about SAP customers talking about their on-prem, their legacy systems and how they will benefit from BDC, but your examples went beyond HANA Enterprise to other non SAP solutions where customers have already been on the journey and they don't see the value at least at this point. [00:27:20] But, after seeing the example you use, it's very logical for them to start thinking in those terms. Also saying, Hey, I simplify my landscape? Still get , if not same, at least, the value that whatever else that BDC brings to the table, like the whole AI capability, all of that can be leveraged by adopting this platform. On a personal note how do you stay on top of, you know, this changing technology world, and business at the same time. How you keep up with all this? [00:27:58] Shawn Brown: Yeah, as you [00:28:00] might imagine in the space of SAP, oftentimes it's hard enough just staying on top of all of the different options we have and different things that we have in terms of technology. So one of the ways that I like to keep up in, in the SAP space is called the BTP Talk podcast, which is a pretty good one. [00:28:18] It actually goes to a number of different you know, platform and data analytics related scenarios. Data skeptics is another pretty good podcast that I get a kick out of. There's another one I'm trying to think of that I use from time to time as well. [00:28:32] Analytics Power Hour. That's it. Yeah, the Analytics Power Hour is another good one. And, I've been paying attention to Tech-Driven Business as well too, so I like this one too. But, you know, the thing that I've been finding too is that, these days, things move so quickly and we think we know where we're going and then something comes along and, and change makes us change direction again. [00:28:53] And AI has probably been the biggest driver to that. The thing that I would say that that it's probably most interesting in terms of how I've changed how I operate is I actually ask AI to provide resources for me on particular topics. For example mid early last year there was a lot of talk about vector engines and knowledge graphs. [00:29:14] And the easiest thing I found to really kind of get a little bit more, versed on the topics was AI itself. I started asking for resources and, and I'll use for example, ChatGPT in some cases I like using Grok as well. From time to time they seem to provide a little bit different types of approaches and levels of interaction. [00:29:35] I kinda like how, grok will ask me follow up questions, which is pretty neat as well. But that's a great way to learn about topics that you are wanting to become more versed in or learning where the resources are to find those topics. So those, those are some of the things that I like to use. [00:29:58] Mustansir Saifuddin: Great list of ideas to kind of keep up with the changing, I mean, just everywhere around us. taking from AI to just carries to anything else. A lot of conversations going on so many different directions. How do you even keep up with them? So I'd like your suggestions, and I know we've talked about a lot of different things today. What is the one thing or one takeaway that you want to leave our listeners with? [00:30:24] Shawn Brown: Hmm, probably in, in the audience of that are responsible for data and analytics. If you're a CDAO, or an analyst or somebody that's responsible for enterprise wide analytics: I would focus on two things because these two things are probably the most important to the people that you serve, your business community. [00:30:50] Point number one is, they want analytics quickly. They want to be able to ask questions quickly. They don't wanna wait. They don't want to say this report, these data sets that you've provided me, they look really interesting, but I'd like to add this and this and this, and when can I have that? [00:31:12] If you can't say you can have that now, then you're taking too long. The other point is. We need to stop being looked at as a cost center. We need to stop being looked at as a place that is a necessary evil. We gotta ask questions of the system. We've gotta extract data everywhere and put it in someplace that we can start answering questions or even not even doing to the extent of actually providing the analytics out of the box. [00:31:40] Instead, we're just providing data sets for people to access. We need to be able to offer real value to the business community. Those are the ones that are footing the bill. Those are the ones that are actually paying for everything. So we need to be in a position to deliver it very quickly, [00:32:00] and it needs to not be expensive, and it needs to be accurate. [00:32:06] Mustansir Saifuddin: Absolutely [00:32:07] Shawn Brown: Those are the elements I think are the key takeaways. That's really the foundation of what we're doing with Business Data Cloud. That's the whole purpose behind it. [00:32:16] Mustansir Saifuddin: Absolutely great advice and a great way to sum up the session. It's been a great conversation. There's so much to gain from this product and, and direction, that SAP's taking. I'd like to thank you very much for joining us today in our show, and look forward to having further detailed conversation with you. [00:32:36] Shawn Brown: Thanks, I appreciate your time as well. [00:32:39] Mustansir Saifuddin: Thanks for listening to Tech-Driven Business, brought to you by Innovative Solution Partners. We have covered the critical why behind BDC, the immense time and cost savings it promises, and the tangible benefits like enhanced speed and accuracy for SAP customers. Sean's key takeaway? Focus on delivering analytics quickly to your business community and strive to offer real accurate value moving away from being seen as just a cost center. [00:33:15] . We would love to hear from you. Continue the conversation by connecting with me on LinkedIn or X. Learn more about Innovative Solution Partners and schedule a free consultation by visiting isolutionpartners.com. Never miss a podcast by subscribing to our YouTube channel. Information is in the show notes.

¿Quieres seguir profundizando en #salesforce #Data Cloud?En este episodio de Crónicas de Salesforce, conversamos con Alia Lupandina sobre las claves para una segmentación efectiva y una activación inteligente. Exploramos buenas prácticas, errores comunes y cómo sacar el máximo provecho de las herramientas disponibles para lograr campañas más precisas y efectivas. Si quieres llevar tu segmentaciones al siguiente nivel, este episodio está lleno de consejos prácticos e insights valiosos. ¡No te lo pierdas!Además, si estas preparándote para la certificación de Data Cloud, te recomendamos escuchar este episodio con papel y lápiz porque Alia, entrega muchas recomendaciones que te ayudarán para el examen.Podrás encontrarnos en Spotify, Apple Podcast y Google Podcast

The Road to ‘Service-as-Software.' Salesforce co-founder and CEO Marc Benioff is articulating a bold vision for the next era of enterprise software. In an exclusive interview with theCUBE on April 25, 2025, Benioff outlined how AI-driven agents and a unified data architecture will transform Software as a Service (SaaS) into what we're calling “Service as Software” – a model where software-based digital agents augment every business process. The Salesforce chief has often quipped that today's CEOs are “the last generation of executives leading exclusively human workforces,” underscoring his conviction that AI agents (what many call agentic AI) will soon work alongside humans in every enterprise. Our premise is that this “digital labor” revolution could be more disruptive than the cloud and mobile waves of 15 years ago, fundamentally redefining how applications function. In this Breaking Analysis, we focus on Salesforce's Agentforce and Data Cloud strategies – the twin pillars of its agentic vision – and how they position the company to become what we call the first software-only hyperscaler. We also examine the broader industry context, including competitive dynamics with Microsoft and Salesforce's interoperability with platforms like Snowflake, Databricks and AWS.FULL ARTICLE: https://thecuberesearch.com/276-breaking-analysis-salesforce-agentforce-data-cloud-a-path-to-the-software-only-hyperscaler/

Was passiert, wenn SAP-Kernsysteme plötzlich mit Databricks sprechen können? Wenn BW-Datenprodukte per Knopfdruck in moderne AI-Modelle fließen? Und wenn Fachbereiche Verantwortung für Daten übernehmen sollen, aber noch zögern? In dieser Folge trifft klassische SAP-Denke auf moderne Data-Architekturen – mit Andreas Scholl im Deep Dive zur Business Data Cloud. Zwischen technologischem Umbruch, organisatorischer Realität und kommerziellem Kalkül zeigt sich: Die Zukunft der Unternehmensdaten liegt nicht im Entweder-oder, sondern im intelligenten Sowohl-als-auch. Doch eines ist klar: Wer BW einfach weiterlaufen lässt, verliert den Anschluss.

Today on the Salesforce Admins Podcast, we talk to Mehmet Orun, SVP, GM, and Data Strategist at PeerNova. Join us as we chat about how to use Data Cloud to create trustworthy AI experiences. You should subscribe for the full episode, but here are a few takeaways from our conversation with Mehmet Orun. How Data […] The post How Data Cloud Enhances Contextual AI for Salesforce Admins appeared first on Salesforce Admins.

In dieser Folge des Data Culture Podcasts spricht Carsten Bange mit Wolfgang Epting über die SAP Business Data Cloud -- eine zentrale Plattform, die Datenprodukte und -services in einem Software-as-a-Service (SaaS)-Angebot vereint.

In this episode of TechSurge, host Sriram Viswanathan sits down with Charlie Giancarlo, Chairman and CEO of Pure Storage, to discuss the evolution and future of data storage in the digital age. Charlie shares insights from his career spanning his pivotal role in Cisco's success as a networking pioneer, to his leadership in transforming Pure Storage into a leader in innovative storage solutions.They explore the evolution of data center infrastructure, and the critical role of storage architecture in enabling AI and cloud technologies. Charlie also explains how Pure Storage's software-driven approach is creating new efficiencies and opportunities for enterprises, offering a compelling vision for a unified "data cloud" that breaks down data silos and unlocks new insights.This episode delves into the intersections of networking, compute, storage, and AI, providing an essential perspective for anyone interested in the future of technology infrastructure.If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits.Links:Pure Storage Official Website: Explore Pure Storage's innovative data storage solutions. Pure Storage DataCharlie Giancarlo's Biography: Learn more about Charlie Giancarlo, Chairman and CEO of Pure Storage. ​Charlie GiancarloPortworx by Pure Storage: Discover Portworx, the Kubernetes data services platform acquired by Pure Storage. ​Wikipedia Portworx ASBIS – IT DistributorFlashBlade//EXA Announcement: Read about Pure Storage's FlashBlade//EXA, designed for high-performance computing and AI workloads. FlashBlade//EXA: The Future of AI and HPC Storage Performance

Tune in to a special roundtable episode of ASUG Talks, where Geoff Scott, ASUG CEO & Chief Community, is joined by two ASUG Board Members: Mark LeClair and Craig Dalziel.  A few weeks ago, the three attended the SAP Business Unleashed event in New York, where the software company unveiled the SAP Business Data Cloud along with a new partnership with Databricks. Aimed at helping ASAP customers establish a sound data foundation in order to embrace AI solutions, the offering is yet another in SAP's business AI development journey. The three thought leaders leveraged their extensive SAP knowledge to offer their thoughts on what the announcements mean for SAP Customers. Key topics covered in their discussion include: How SAP Business Data Cloud integrates into the larger SAP suite of solutions. The ways in which SAP Business Data Cloud can enable customers to improve their data management practices and set a foundation to embrace AI solutions. The three leaders' first impressions of the new solution and partnership. 

In this episode of Inside SAP S/4HANA Cloud, host Katharina Klug discusses the innovative SAP Business Data Cloud with SAP experts Rolf Sieberg and Georg Meier. Delve into how SAP Business Data Cloud supports data insights through seamless integration of data platforms and business applications, supporting agility, value chain efficiency, and sustainability. Learn about the collaboration between SAP S/4HANA Cloud and BDC, providing an end-to-end, AI-enabled data solution. Discover how SAP's data products empower decision-makers, and gain insights into the vision for transforming organizations. What topic would you like us to discuss next? Send an email to insides4@sap.com.

“Most customer service reps have five to 20 different tabs open in their browser of all these different systems — it's the modern equivalent of the swivel chair,” said Salesforce AI's Adam Evans, executive vice president and general manager. In this episode of the Tech Disruptors podcast, Evans joined Bloomberg Intelligence's senior technology analyst Anurag Rana for a discussion encompassing several key initiatives Salesforce is developing with data and AI for products such as Agentforce and Data Cloud. Additionally, the two recap the company's recent partnership with Google Cloud and what Gemini can do for the former's AI tools.

“More or less, the data strategy will inform the AI effectiveness,” SAP President and Chief Product Officer of Data and Analytics Irfan Khan explains to Bloomberg Intelligence senior technology analyst Anurag Rana. In this episode of Tech Disruptors, Khan and Rana delve into the three archetypes of data management, how zero copy sharing enables greater flexibility and how SAP's new Business Data Cloud product can optimize customer data inside and outside of the SAP ecosystem.

ASUG CEO & Chief Community Champion Geoff Scott traveled to New York for the SAP Business Unleashed event, where SAP unveiled its newest offering, SAP Business Data Cloud, and its partnership with Databricks, a data analytics and  management software company.During his trip, Scott sat down with Irfan Khan, President and Chief Product Officer of SAP Data & Analytics. They discussed SAP's new offering and partnership, and how these announcements will help enterprises develop a data foundation for business insights and artificial-intelligence applications.Key topics from their conversation included:How SAP Business Data Cloud is different from SAP Datasphere.The way SAP Business Data Cloud will sit in the SAP suite alongside applications such as the SAP Business Technology Platform (BTP) and SAP Analytics Cloud.The importance of integrating SAP and non-SAP data into a single data layer.For more information on these announcements and their impact on the SAP ecosystem, check out the following SAP insights:The trust factor: Data, resilience, and innovationSAP and Databricks Open a Bold New Era of Data and AI

Welcome to the 250th episode of the podcast! In this week's episode of Talent Hub Talk, we catch up with Matt Robison, who reflects on his journey over the past year with Lightbox Logic. We discuss the milestones achieved, the challenges faced in the first year of business, and the importance of working on the business rather than just in it. Matt shares insights on sales metrics, the significance of staying relevant in the Salesforce ecosystem, and the complexities of the sales cycle. He also reflects on the importance of maintaining social connections while working remotely and adapting to new technologies like Data Cloud and AI. Looking ahead, Matt sets goals for the next year and explains the balance he strives to achieve with what success looks like to him. Make sure you're following Matt on his LinkedIn account! You can learn more about Lightbox Logic here: https://lightboxlogic.com.au/ https://www.linkedin.com/company/lightbox-logic/   You can find more content from us at Talent Hub, here: LinkedIn@ https://www.linkedin.com/company/talent-hub-global/ YouTube@ https://www.youtube.com/@talenthub1140 Facebook@ https://www.facebook.com/TalentHubGlobal/ Instagram @ https://www.instagram.com/talenthubglobal/ Twitter X @ https://twitter.com/TalentHubGlobal We hope you enjoy the episode!  

Jack McCurdy is joined by Ian Gotts and Jack Lavous from Elements.cloud to discuss the transformative impact of Agentforce within the Salesforce ecosystem.In this episode we explore how Elements.cloud implemented Agentforce internally, emphasizing the importance of well-defined business processes and the role of business analysis in building effective agents. The conversation delves into the Job to Be Done framework, the challenges organizations face in adopting agents, and the necessity of documentation and structured approaches to ensure success.Jack Lavous offers insights into the actual build process of agents and the importance of making documentation AI-ready, how to use prompt templates, data cloud strategies, and deployment using Gearset. They also discuss the significance of internal trust and the return on investment from implementing AI agents, while also expressing excitement for the future of AI technology in business.Learn more:- Deploy Agentforce with Gearset- What is Agentforce?- How to effectively document Salesforce processesAbout DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset.Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial.Chapters00:00 Introduction to Agentforce and Its Impact01:47 Elements Cloud's Implementation Journey06:00 Understanding Topics and Their Importance09:59 The Role of Business Analysis in Building Agents13:56 Applying the Job to Be Done Framework17:54 Challenges in Building Agents and Organizational Readiness22:00 Starting the Fix: Documentation and Business Processes25:57 The Implementation Process of Agents28:14 Understanding AI Language and Communication33:10 The Learning Curve of AI Agents35:47 Designing Effective Prompt Templates37:57 The Role of Data Cloud in AI Implementation43:11 Return on Investment and Internal Trust51:06 Looking Ahead: The Future of AI Agents

The Future of AI and Data in 2025:  There's a lot of excitement and prototyping around AI. "People are excited that they can ask questions and get real answers instead of getting the proverbial 10 blue links. I think people see the promise of things like that. How do you make that work at scale? How do you make that work in a reliable way, and how do you make it work in a way that's not expensive?" Ramaswamy shares a recent experience in India, describing the cost-consciousness of customers and the focus on making data accessible and valuable.Shifting Priorities for Snowflake Customers:  What do customers want? Ramaswamy identifies goals including empowering business users with data faster and unlocking the value of unstructured information. In response, Snowflake is helping customers access and utilize historical information and build hybrid systems. He notes that SQL enables easier data transformations and extractions.Cultural Change and AI Adoption: Cultural change is required for companies to handle AI. Even within Snowflake, adopting AI has been a challenging process. Snowflake's engineering and sales teams are beginning to use AI tools like Copilot and Cortex, but there's a need for ongoing practice to fully integrate AI into daily operations. The Promise of AI and Data Platforms: AI has the potential to free up significant time for employees, allowing them to focus on higher-value tasks. Snowflake aspires to make data platforms simple and accessible, allowing users to perform complex tasks with ease. Its consumption model has several benefits and aligns it with business goals of making more money or spending less. Companies like Siemens are using chatbots to improve efficiency and access to information.Competition and Innovation in the Data Market: Competition, Ramaswamy says, drives innovation and improves products. It only strengthens Snowflake, which stands apart due to its unified platform, tight integration, and ease of use. "If you create a chatbot with Snowflake, it will automatically obey all of the access control rules that you have set up. It will automatically obey all of the data masking that your administrator has set up." Ramaswamy discusses the challenges of balancing innovation with maintaining simplicity and efficiency in Snowflake's product offerings.Mega Trends and Challenges for Snowflake: Ramaswamy sees two mega trends for 2025: the rise of interoperable data formats and the acceleration of AI. Snowflake is well-positioned to take advantage of these trends through its end-to-end offerings and data engineering capabilities. However, there are challenges to maintaining data quality and speed while innovating rapidly. AI tools like agents must drive real utility and value for customers.Data Literacy Initiative: One Million Minds Plus One: Snowflake has a new initiative aimed at improving data literacy. Data can be difficult to interpret, and the right skills are necessary to do so. Snowflake is spearheading an ambitious program to educate over a million people in data literacy, free of charge. The initiative includes teaching concepts like data engineering, data analytics, and using BI tools and notebooks for interactive analysis.Excitement for 2025: Sridhar expresses excitement about the potential for AI and data to drive real business transformations in 2025. Snowflake will continue to play a vital role in helping customers become truly data-driven organizations. Navigating growth, competition, and innovation while maintaining simplicity and value for customers is key.

AI's rapid evolution is transforming the business landscape, driving efficiency, automating processes, and uncovering new opportunities. Under the leadership of CEO Sridhar Ramaswamy, Snowflake (NYSE: SNOW) has emerged as a pioneer in harnessing AI to revolutionize how organizations utilize data for smarter, faster decision-making. He goes Inside the ICE House to explore AI's accelerating rise, why he views 2025 as a pivotal "adapt or die" moment for businesses, and how Snowflake is strategically positioned for sustained success in the AI-driven future. https://www.ice.com/insights/conversations/inside-the-ice-house

Join Josh Matthews and Vanessa Grant for the Salesforce Career Show's year-end wrap-up, featuring an all-star panel including Theron Stanley, Peter Ganza, Janeen Marquardt, John Sisson and Josh LaQuire. Reflecting on a transformative year in the Salesforce ecosystem, this episode delves into the challenges and opportunities of 2024 while forecasting the trends shaping 2025.This show was recorded live on LinkedIn. For video, visit https://joshforce.com/24WrapUpFrom the rise of AI and AgentForce to evolving job markets and the critical role of business analysis, the conversation highlights actionable strategies for Salesforce professionals, hiring managers, and organizations alike. Packed with expert insights, practical advice, and career predictions, this episode is essential listening for navigating the Salesforce ecosystem with confidence.They talk about:Reflecting on the challenges and triumphs of 2024 in Salesforce careers.Predictions for AI, AgentForce, and Data Cloud adoption in 2025.Practical advice for improving Salesforce implementations and avoiding common pitfalls.Strategies for job seekers to stand out in a competitive market.The growing importance of business analysis and process optimization.How hiring managers can identify top talent in the Salesforce ecosystem.Whether you're a Salesforce professional, a hiring manager, or exploring the ecosystem, this episode offers valuable takeaways to prepare you for success in 2025.

Join Frank as he sits down with Suren Reddy, co-founder and principal at Cloudely, a leading Salesforce and Conga CPQ System Integrator. In this insightful episode, Suren delves into the world of CPQ, discussing: A Diverse Client Base: Learn how Cloudely caters to a wide range of clients, from SMBs to large enterprises. Innovative No-Code/Low-Code Solutions: Discover "Config," Cloudely's proprietary solution that empowers businesses with three powerful modules: HRMS, PMS, and Quality. The Future of CPQ with Agentforce: Explore how Agentforce can revolutionize the way Cloudely's clients approach CPQ and leverage the power of data. Data Cloud Integration: Understand the synergy between Agentforce and Data Cloud, and how this combination can drive business growth. Industry Insights: Learn about industry events, including Tahoe Dreamin', which Cloudely attends. Tune in to this informative podcast to gain valuable insights into the latest CPQ trends and how Cloudely is helping businesses achieve their goals. Website: https://cloudely.com/ email: sreddy@cloudely.com LinkedIn: https://www.linkedin.com/in/suren-reddy-94735887/ 

Is the commoditization of technology ruining the customer experience? Can Artificial Intelligence be characterized as “Affectionate Intelligence” if it's designed to respect a consumer's boundaries? Louis Giagrande, CMO of LG Electronics USA, dives into these hot topics as he discusses the challenges of maintaining brand value in a market flooded with cheap alternatives. Plus, he explains what companies can do to stand out and how LG is breaking down silos and fostering collaboration to enhance customer experience.Key Moments:00:00 Introduction01:43 Human-Centered Innovation at LG03:59 Voice of Customer Program Enhancements06:04 Game-Changing Data Sources07:30 Integrating Marketing and Customer Support08:56 Challenges in Cross-Functional Collaboration10:30 Impact of Executive Alignment 11:25 The Next Phase of LG 13:24 Customer-Centered Innovation 14:47 Proactively Providing Customer Solutions16:10 LG's Philosophy and Brand Story21:37 Key to Identifying Campaign Effectiveness24:25 Basics of Integrating Customer Feedback 26:23 The Power and Purpose of LG Nova32:04 B2B Segment Focus Brings New Opportunity 34:29 Challenges in the Home Appliance Industry40:36 What We Can Learn from Chewy's Customer Service42:45 Advice Every CX Leader Must Hear–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

Mazda is redefining customer experience by putting humans at the center of everything it does. On this episode, Brad Audet, CMO of Mazda Americas, shares insights on how emotional connections and personalized experiences can drive brand loyalty and business success. Plus, he explores the importance of human connection in business and how it can transform customer experiences.Tune in to hear about:Customer Experience as a Competitive DifferentiatorOmotenashi: The Concept of Radical HospitalityThe Importance of Emotional ConnectionBringing Human Connection into BusinessThe Role of Technology in Enhancing Human ExperienceThe Balance Between Technology and Human TouchListening vs. Hearing in Customer InteractionsThe Importance of Tonality in CommunicationThe Role of CMOs in Sustainable Development Goals–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

Is your company truly listening to its customers, or are you just paying lip service? On this episode, Michelle Engel, Chief Product Officer at UserTesting, challenges the status quo of customer feedback and discusses the pitfalls of ignoring customer insights. She shares key strategies that top brands use to ensure their offerings resonate with real users and explains the transformative power of truly understanding your audience.Tune in to learn:How integrating human insights can transform customer experiencesWhy data alone doesn't explain customer emotions and experiencesWhy personalization is key to addressing diverse customer needsHow integrating customer insights across departments enhances strategyHow AI can significantly speed up the process of gathering insightsWays technology can transform customer interactions for the better–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

Want to navigate the complexities of digital transformation successfully? In this episode, Jonathan Murray, the Chief Strategy Officer at Mod Op and co-author of Getting Digital Done, outlines a step-by-step approach to integrating AI into your customer experience strategy. He explains how to build a solid data foundation and establish governance principles that will set your organization up for success. Plus, Jonathan and Lauren discuss the disconnect between leadership and customer needs, and how to bridge that gap using data-driven insights.Tune in to learn:Why organizations often resist new technologies due to fear and uncertaintyHow AI can enhance customer interactions through conversational experiencesHow AI can help rehumanize business interactions with customersWhy organizations must have the right data infrastructure to leverage AIWhy employee experience must be prioritized to ensure successful transformations–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

Seguro ya escuchaste sobre Agentforce, Einstein Studio y tienes muchas dudas. En este episodio tenemos como invitado especial a Eugenio Roldan, Distinguished Solution Engineer y nos acompaña desde Sevilla, España. Eugenio nos estuvo explicando la diferencias entre Agenforce y el antiguo Copilot, como también nos aclaro la gran duda de muchos, necesitamos Data Cloud? para conocer el detalle te invito a ver el episodio. A su vez, Eugenio nos explico sobre Einstein Studio y mucho más Es un episodio con mucha información de valor donde podrás obtener muchos tips y aclarar dudas Podrás encontrarnos en Spotify, Apple Podcast y Google Podcast

Today on the Salesforce Admins Podcast, Josh Birk talks to Jagan Nathan, Technical Architect with Customer Success at Salesforce. Join us as we chat about guest user anomalies and what you can do about them with the Threat Detection app. You should subscribe for the full episode, but here are a few takeaways from our […] The post Key Security Best Practices for Salesforce Admins Using Data Cloud appeared first on Salesforce Admins.

In this episode of DevOps Diaries, Jack McCurdy speaks with Alba Rivas, Principal Developer Advocate at Salesforce. They discuss Alba's journey in the Salesforce ecosystem, her role in engaging the developer community, and the evolving landscape of Salesforce technologies.Alba dives in to the nuances of artificial intelligence and Salesforce's new Data Cloud. She shares insights on the differences between Agentforce and Einstein Copilot, the importance of hands-on experience, and how to effectively test AI applications. Their conversation emphasizes the need for developers to embrace new technologies, engage with the community for growth and learning, and how to submit a great session for TrailblazerDX.Learn more:- How to pick the right Salesforce DevOps solution for your needs- What is Platform Engineering and how does it impact Salesforce DevOps? - Salesforce CI/CD Pipelines that include LWC testing DevOps - Salesforce DevOps for AI Enterprise About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset.Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial.Chapters: 00:00 Introduction to Alba and Her Role03:02 The Developer Advocate Journey06:06 Engaging the Developer Community10:00 Navigating the Evolving Salesforce Ecosystem14:23 Embracing AI and Data Cloud16:45 Generative AI: Surprises and Insights22:04 Understanding Agent Force vs. Copilot27:53 Hands-On Experience with Agent Force37:45 Testing and Evaluating AI Applications40:04 Data Cloud Innovations and DevOps45:47 Final Thoughts and Learning Recommendations

What does it take to truly win over customers in today's fast-paced digital landscape? Join us as Danny Pozo, Cisco's VP of U.S. Commercial Customer Experience, shares his unique perspective on customer experience at Cisco. From the importance of emotional intelligence to the role of AI in CX, this episode dives deep into the strategies that can make or break customer relationships. Are you ready to rethink your approach?Tune in to learn:Why customer experience is about winning a customer, not just a transactionThe importance of emotional intelligence and why it will never be replaced by AIHow to effectively engage with customersWhy you need to build a strong internal culture in order to succeed in customer successHow AI can help predict customer behavior and improve serviceWhy personalization in customer service enhances loyaltyHow taking risks can lead to innovation in customer experience.–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

Are we relying too much on technology in customer success? Sarah Parker, the SVP of Customer Success at BetterUp, discusses the balance between automation and human touch in customer relationships. Is it possible to scale customer success without losing the personal connection? Join us as we explore this critical debate in the industry.Tune in to learn:Why data is essential for driving customer success at scale.The importance of AI readiness for organizations today.How understanding customer business context enhances service delivery.Why engagement strategies must focus on the end user experience.Why standardization in processes allows for better automation.How AI can enhance the capabilities of customer success teams.How proactive engagement can prevent churn and improve satisfaction.–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

On this episode, Monica Trivedi, VP of Global Client Experience at JLL Technologies, discusses the importance of client experience in driving revenue growth and the strategies she employs to enhance customer success. She emphasizes the need for understanding client ecosystems, managing a global team, and fostering cross-functional relationships. Monica also shares insights on leveraging AI to improve efficiency and the significance of creating moments of delight for clients.Tune in to learn:Why client experience should be a 24/7 focus for leaders.How building relationships with product teams enhances collaboration.How AI can streamline customer support and engagement.The importance of meeting with your CX team.How to foster a customer-centric mindset–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

On this episode, Amanda Teder, Executive Vice President of Marketing at Generac, discusses the company's evolution from a generator manufacturer to a total energy solutions provider and she highlights the importance of customer experience and how Generac is adapting to changing consumer needs. Amanda and Lauren also dive into the role of AI in customer service, the significance of sustainable energy solutions, and the strategies for gathering customer insights.Tune in to learn:Trends in the energy spaceProactive customer engagement strategiesThe role of AI in customer serviceBalancing marketing and customer experienceStrategies for gathering customer insights and feedbackAdvice for customer experience leaders–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

On this episode, Gina Hardy, Chief Marketing and Experience Officer at Chamberlain Group, discusses the evolution of customer experience in the digital-first world. She emphasizes the importance of understanding the customer and their needs, using data to anticipate needs, and effectively communicating complex products to consumers. Gina shares her experiences in marketing, including her role in shaping myQ's product journey and successful campaigns with LeBron James and Serena Williams for Tonal. Plus, she highlights the power of storytelling in creating memorable brand experiences.Key Insights:Understanding the customer and their needs is crucial in creating a great customer experience.Data can be used to anticipate customer needs and create personalized experiences.Effectively communicating complex products to consumers is a challenge that requires concise and compelling messaging.Storytelling is a powerful tool in creating memorable brand experiences.Creating a memorable customer experience requires balancing intrigue with informative content and understanding the customer journey.Fostering a culture of innovation and prioritizing the employee experience are key to building a successful brand.Feedback is crucial for growth and should be encouraged and acknowledged in order to create a safe space for ideas.AI can enhance customer care and marketing, but it requires continuous iteration and data-driven decision-making.Opinions and assumptions should be validated through customer research and feedback to ensure that products and marketing efforts meet customer needs.–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

Australia's Dave Norris joins us in exploring the cutting-edge techniques of Retrieval Augmented Generation (RAG) and hybrid search methods. We delve into the limitations of traditional keyword searches in the face of unstructured data like PDFs and emails, which make up a significant portion of enterprise data. By using Data Cloud and hyperscalers like Google, Amazon, and Microsoft, Dave shows how to transform chaotic data into intelligent search engines.  The discussion highlights the role of context in AI-generated responses, illustrating this with the challenge of summarizing meetings without enough information. The episode also examines the potential of hybrid search technologies such as Agentforce and vector search, emphasizing the importance of prompt engineering in refining data retrieval.  Through examples from Dreamforce and fictional companies, listeners gain insights into how these technologies enhance user experiences by combining semantic and keyword searches, showcasing the advanced potential of modern search innovations. Show Highlights: Discussion on the limitations of traditional keyword searches in data retrieval. Insights into the use of Data Cloud for managing unstructured data via hyperscalers like Google, Amazon, and Microsoft. Examination of hybrid search techniques, including Agentforce and vector search technology. Focus on the importance of prompt engineering to enhance AI responses and prevent hallucinations. Introduction to hybrid search, combining vector and keyword search for improved precision and relevance. Links: Using Retrieval Augmented Generation in Data Cloud — https://help.salesforce.com/s/articleView?id=sf.c360_a_rag_overview.htm&type=5

On this episode, Diya Sikka,  Director of NPSx, a start-up at Bain & Company, discusses the third wave of customer experience and the shift from surveys and insights to predictive analytics and data-driven value. She emphasizes the importance of not relying solely on a single metric like Net Promoter Score and highlights the need to connect CX to key value metrics. Diya also discusses the challenges of organizing and utilizing data for CX and recommends starting with use case driven approaches and leveraging existing technology.Key Insights:Relying solely on a single metric like NPS is not the right approach; it should be connected to key value metrics.Organizations should start with use-case-driven approaches and leverage existing technology to organize and utilize data for CX.Evaluating CX maturity can be done using the CX global standards framework, which assesses capabilities in culture, capability, and execution. Data management is a critical area that companies often overlook in creating a strong customer experience.CX leaders should go beyond surveys and understand sentiment across the entire customer base to unlock value.The role of the CX leader is to be a master coordinator and facilitator across teams, driving customer-centricity and connecting the dots.Recognizing and empowering employees is crucial in creating a customer-centered culture.Creating a closed-loop feedback system and actively listening to employees' suggestions and ideas is essential.Best-in-class companies prioritize the customer in executive meetings and leaders actively engage with customers.–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

On this episode, author and advisor Tiffani Bova shares her journey of understanding the impact of technology on customer experience and the need to consider employee experience as well. Tiffani emphasizes the need to reduce effort for both customers and employees, as many companies have shifted the effort from customers to employees. She highlights the importance of considering the employee experience in order to improve customer experience and achieve growth.Tune in to learn:Balancing employee experience with customer experience is crucial for business growth.Reducing effort for both customers and employees is essential for improving their experiences.Ownership of employee experience is often fragmented across different departments.Collaboration between departments is necessary to create a holistic approach to experience.Considering employee experience is key to achieving customer satisfaction and loyalty. Tracking employee effort is as important as tracking customer effort in order to improve the overall customer experience.The customer effort score is a useful metric for measuring employee effort and identifying areas of improvement.CX leaders should influence the executive team by journey mapping customer experiences and collaborating with IT to find solutions.Focusing on the employee experience is crucial for enhancing both employee and customer experiences.AI can be a powerful tool for improving customer experience, but it requires clean and reliable data.Human connections and great customer service can make up for shortcomings in other areas of the customer experience.–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

In this episode, we dive into the latest innovations and updates unveiled at Dreamforce 2024 with Philippe Ozil. We explore the refreshed Lightning Design System (SLDS2), which enhances accessibility and themability without disrupting customizations. Discover the game-changing Local Development (beta), offering real-time component updates and seamless page state maintenance. We also highlight new mobile capabilities, including native feature plugins and the empowering AgentForce suite designed for specialized AI agents. Learn about significant advancements in Salesforce tooling, the benefits of local development without deployment, and the introduction of Core Cloud, a new sample app rich with educational resources. Don't miss insights from the latest developer keynote and future trends in Data Cloud and Data Graphs. Show Highlights: Deep dive into Lightning Web Components Local Development version 2. New mobile capabilities and native feature plugins. Advancements in Salesforce tooling, such as local development benefits without deployment to an org and hub module reloading. Exploration of Core Cloud, a new sample app for developers focusing on agents, prompts, and Data Cloud. Overview of Data Cloud features, new color themes, and future trends Links: Developer Keynote: Build the Future with the Platform - https://www.youtube.com/watch?v=80reYTg9xXI LWC Local Development Server (Beta) - https://developer.salesforce.com/docs/platform/sfvscode-extensions/guide/lwclocaldev.html

In this episode of the Six Five Podcast Enterprising Insights, host Keith Kirkpatrick discusses the key highlights, areas of emphasis, and takeaways from Dreamforce, Salesforce's annual user conference. He discusses Agentforce, enhancements to Data Cloud, and the Salesforce Foundation program, among other announcements from the show, and closes out with his weekly Rant or Rave segment.   

On this episode, author David Avrin discusses the importance of being easy to do business with and reducing customer friction in order to stay ahead in a competitive market. He emphasizes the shift in customer drivers from quality and commitment to speed and convenience, plus, he highlights the common mistakes businesses make, such as assuming what works well for them works well for their customers. He also addresses the sources of friction in the customer experience, including perceived time wasted and scripted empathy without resolution. Tune in to learn:Businesses often assume what works well for them works well for their customers, but the drivers of customer choice have shifted to speed and convenience.The most common source of friction in the customer experience is the perception of time wasted.Companies should focus on resolving issues quickly and providing a positive experience to avoid negative online reviews and customer complaints.Being easy to do business with and minimizing customer friction can be a competitive advantage in a market where everyone is good.Businesses should understand customer preferences, address issues promptly, and be the safe choice to leverage customer experience as a competitive advantage. Customer experience is the new marketing, and organizations need to focus on how customers feel.Leaders should have a finger on the pulse of customer expectations and be forward-thinking in their approach.There is a difference between customer experience and customer service, with customer experience encompassing every touchpoint and interaction with a brand.–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

In this episode, we dive into the future of digital commerce with Kelly Thacker, CMO of Commerce Cloud at Salesforce. Kelly shares her journey and passion for e-commerce, emphasizing how Salesforce has been instrumental in helping businesses across various industries navigate the digital shift post-pandemic. She highlights innovative tools like Salesforce Checkout and AI and Data Cloud integration to enhance customer experiences. Kelly also discusses her side hustle, Banalco, a nonprofit supporting human trafficking survivors.  This episode offers valuable insights into the power of AI and data in revolutionizing the shopping experience, making it a must-listen for anyone looking to stay ahead in the digital commerce game. Show Highlights: The impact of the pandemic on digital strategies and how Salesforce has assisted non-traditional commerce sectors in establishing online presences. The importance of delivering seamless, hyper-personalized experiences across various touchpoints. Introduction of the innovative Salesforce Checkout feature and its applications in unconventional settings. The new pricing model of Salesforce making Data Cloud accessible to all customers and enhancing AI capabilities. Exploration of future AI applications in commerce, including autonomous agents and headless checkout experiences. Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review” then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Supporting Resources: Join the Commerce Cloud Community: http://sforce.co/commercecrew Learn more about Commerce Cloud Innovations, go here: https://www.salesforce.com/commerce/innovations/  Would you like to be on the podcast, or do you know someone who should? Check out the nomination form: http://sfdc.co/podnomination  *** Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.

On this episode, Shane Beardsley, Vice President of Guest Experiences and Communications at the Jacob K. Javits Center in New York City, discusses the ever-changing landscape of convention centers and the importance of creating a great event experience. He highlights the importance of understanding the needs of different event demographics and being adaptable to meet those needs and emphasizes the value of consistency, listening to clients, and building strong relationships to ensure repeat business.Tune in to learn:Why Aggressive customer service and attention to detail are key in creating a great event experience.Why understanding the needs of different event demographics and being adaptable is crucial.The importance of consistency, listening to clients, and building strong relationships to ensure repeat business.How the Javits Center aims to provide a seamless and enjoyable experience for all attendees. Methods for tracking success of an event.Why leading by example and creating a positive on-the-ground experience are crucial for customer experience leaders.–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

In this episode, we welcome back Mohith Shrivastava to delve into the groundbreaking features of the Salesforce Winter '25 release. We discuss Agentforce, Salesforce's innovative AI agentic solution that leverages tools like Flows, Apex, and Prompt Builder to autonomously execute tasks. The episode also highlights advancements in Agent Builder (fka Copilot Builder) for creating assistive and autonomous agents, and the introduction of Agentforce for Developers. Further, we explore significant updates in Salesforce Data Cloud, including Retrieval-Augmented Generation (RAG) capabilities, vector search, and the much-anticipated beta release of Data Cloud sandboxes. Finally, we touch on the new local development feature for Lightning Web Components (LWC) that provide real-time previews and rapid iterations.  Tune in to learn how these Winter '25 updates can elevate your Salesforce development and data management capabilities. Show Highlights: Enhancements to Copilot Builder with new topic-based action categorization for assistive and autonomous agents. A chat agent for Salesforce developers to explain code, write test cases, and generate documentation. Upcoming features like Data Cloud sandboxes for secure testing and new dependencies between Data Cloud and Salesforce platform packages for ISVs. Lightning Web Components (LWC) advancements, including local development for real-time previews and rapid iterations. New Apex feature preventing collection modification during iteration to enhance code stability and consistency. Links: The Salesforce Developer's Guide to the Winter '25 Release - https://developer.salesforce.com/blogs/2024/09/winter25-developers

On this episode, Sofya Pogreb, the Chief Operating Officer at BILL, discusses how BILL instills a customer-first mindset throughout the organization, the importance of customer support and experience, and how data is used to optimize customer experiences. Sofia also emphasizes the need for cross-functional collaboration and the role of the COO in championing customer focus. Tune in to learn:How to instill a customer-first mindsetThe role of the COO in championing customer focusWhy you should be measuring customer effort and employee effortThe ROI of having a customer-focusThe importance of empathy in customer experience–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

On this episode, Josh Ives, SVP of Customer Experience Operations at FanDuel, discusses the customer-centric strategies and innovative approaches that have contributed to the success of FanDuel in the highly competitive sports betting industry. He emphasizes the importance of building customer trust, protecting customers through responsible gaming programs, and creating personalized experiences. Josh also highlights the significance of partnerships in expanding the reach of FanDuel and enhancing the customer experience.Tune in to learn:Why building customer trust is crucial for success in the sports betting industry.Why responsible gaming programs and customer protection are key strategies to drive loyalty.How personalization and understanding customer preferences create engaging experiences.How partnerships play a significant role in expanding reach and enhancing the customer experience.Why consistency is key in delivering great customer experiences.How recovery from service failures can be an opportunity to build trust and loyalty.Why integrating tools and technology can enhance both the customer and employee experience.–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

In this episode of Enterprising Insights, Futurum Group Enterprise Applications Research Director Keith Kirkpatrick provides a preview of his fall conference schedule, focusing on the events he will be attending, the key items he hopes to learn, and how these developments may impact the enterprise applications market. He will then move to the Rant or Rave segment, where he picks one item in the market, and either champions or criticizes it.  

On this episode, , discusses the importance of storytelling in marketing and how it can create an emotional connection with consumers. She shares examples of how Campari brands like Wild Turkey and Grand Marnier use storytelling to honor their rich history and engage consumers, and she talks about the balance between art and science in designing customer experiences and the importance of personalization and data-driven decision-making.Tune in to learn:How to create experiential moments and partnershipsThe importance of connecting with Gen Z through authenticity and experiencesWhy you should be balancing art and science in designing customer experiencesHot to think about personalization and data-driven decision-making–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

 On this episode, Meghan Hatalla, Senior Customer Experience Researcher at Veritas Technologies, discusses the use of machine learning and natural language processing to enhance user research and improve customer experience. She highlights the importance of data analysis, sentiment analysis, and personalization in understanding user behavior and needs, and talks about the challenges of implementing AI in customer experience.The role of machine learning and AI in processing large data sets and identifying patterns in user behaviorThe importance of qualitative research in understanding user experiences and problem-solvingHow to Implementing AI in customer experienceHow to build trust and emotional connections for a positive customer experienceKey Components of Effective Customer InterviewsThe Role of User Research in AI–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

On this episode, Eli Weiss, VP of Retention Advocacy at Yotpo, discusses the evolving space of customer experience and SaaS, emphasizing the importance of kindness and humility in the industry. He also discusses the importance of personalization in CX and retention, and highlights the value of leveraging data to create targeted messaging and improve the customer journey.Tune in to learn:The Importance of RetentionFinding the Balance in CX StrategiesThe Value of Great CX and Missed OpportunitiesBusinesses' Perception of CXThe Role of AI in Improving CXThe Power of PersonalizationThe Future of MessagingTrends in CX and RetentionElevating the CX and Retention Conversation–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

Amin, ADP's Chief Data Officer, explores the transformative power of AI and Data in human capital management. Discover how these technologies are making work easier, smarter, and more human while fostering a culture of care. Dive into the innovative AI applications at ADP, including the ADP Assist feature, and learn how they streamline processes, provide proactive insights, and personalize employee experiences. Amin also highlights the importance of responsible AI practices and the technical foundations that make these advancements possible.

Join us as we welcome Pree and Sasha from Salesforce to explore the critical role of data in business operations, particularly within the Commerce Cloud. Pree emphasizes the strategic use of high-quality, actionable data to make informed decisions and enhance customer experiences. Meanwhile, Sasha shares her passion for crafting innovative solutions to complex problems. We also address the anxiety retailers often feel around data collection and underscore the importance of having a solid data strategy. Listen in as we discuss the importance of connected data in maximizing the potential of Salesforce Commerce Cloud. Discover how Data Cloud for Commerce provides valuable insights by contextualizing data, enabling businesses to avoid costly inventory mistakes and deliver personalized experiences. We also stress the necessity of breaking down data silos to unlock the full potential of integrated data, leading to smarter decision-making and innovative solutions. Show Highlights: Importance of actionable, high-quality data in driving business growth and enhancing customer experiences. Strategies for effective data utilization to make informed decisions and boost customer loyalty. Innovative solutions to address retailer anxieties around data collection and management. Benefits of seamless integration between inventory systems and marketing efforts to prevent customer frustration. The power of Salesforce Commerce Cloud and Data Cloud for Commerce in breaking down data silos. Role of AI in enhancing data insights, optimizing supply chains, and personalizing customer experiences. Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review” then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Supporting Resources: Join the Commerce Cloud Community: http://sforce.co/commercecrew To learn more about Commerce Cloud Innovations, go here: https://www.salesforce.com/commerce/innovations/  *** Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.

Today on the Salesforce Admins Podcast, we talk to Chris Zullo, Global Practice Director of Customer 360 and Marketing at AllCloud. Join us as we chat about integrating Marketing Cloud and Data Cloud and how you can do more with your data. You should subscribe for the full episode, but here are a few takeaways […] The post Enhancing Customer Engagement with Salesforce Data Cloud appeared first on Salesforce Admins.