Podcasts about data analytics

In today's Shopify Ecommerce Podcast, my guest is Dave Fink, the Founder and CEO of Postie.com.Dave Fink thinks the best kept secret in marketing is hiding where you least expect it — your mailbox. Over a 20-year career he's generated hundreds of millions of dollars in ad revenue, powered viral sensations like Dollar Shave Club, and helped launch celebrity startups for Jessica Simpson, Mary-Kate and Ashley Olsen, and Kate Bosworth. Now as founder and CEO of Postie, he's out to reinvent direct mail marketing for a digital world. Building a successful Shopify business requires not only hard work and dedication, but also access to the right information.Take advantage of the information and resources presented in today's ecommerce podcast. You'll learn how to GROW REVENUE and MAXIMIZE PROFIT for your Shopify store.We would love to hear from you! Whether it's a comment or a question about our latest episode, feel free to reach out to us here or through our social media channels. Your feedback is always welcome!TwitterLinkedInFacebookYour feedback is always welcome!Are you hungry for knowledge on the topics of ecommerce and marketing? Then, we recommend visiting the eCommerce Fastlane Insights Blog for valuable and timely information. TOPICS INCLUDE: Advertising, Affiliate Marketing, Amazon, Attribution, Automation, B2B, Brand, Customer Retention, Customer Support, Data + Analytics, Data Trust + Security, Dropshipping, Ecommerce Seo, Email Marketing, Entrepreneurship, Founder Stories, Influencers, Legal, Logistics, Shipping, Loyalty, Rewards, Retention Marketing, Marketing, Sales, Conversion, Money From Home, Operations, Payments, Finance, Tax, People, Personalization, Post Purchase Experience, Print On Demand, Product Development, Retail, Shopify POS, Reviews, Search, SMS Marketing, Social Commerce, Social Media, Live Shopping, Startup Ideas, Store Design, Mobile Apps, Sustainability, TikTok, Trends, Ultimate Guides, Web3, best Shopify apps, and more. Hosted on Acast. See acast.com/privacy for more information.

Nelson Davis is the Founder and Leading Partner of Analytic Vizion, a data and analytics consulting firm in Atlanta, GA designed to focus on equipping and inspiring the next generation of data and technology leaders since 2019. Nelson would describe himself as a Believer, Husband to Alyson, Father of four incredible (and crazy) boys, lover of people, hoping to impact the next generation of marketplace leaders for the better.   Discussion Topics What motivated you to become an entrepreneur and start Analytic Vizion despite the fact that you were on a successful track with your consulting career?  What obstacles did you face with building momentum in the very beginning? Why did you create the ‘Consulting Journey' which essentially informs new hires that your goal is for them to be launched back into the marketplace after 3-6 years? What have you learned about the model of ‘Love. Teach. Launch' in your hiring process as you've been developing emerging servant leaders in your organization? Follow/Get In Touch Web: analyticvizion.com Follow Nelson Davis on LinkedIn Follow Analytic Vizion on LinkedIn Follow @Nelsondavis and @AnalyticVizion on Twitter See omnystudio.com/listener for privacy information.

When I hear the term value-based care, I think about a provider group taking on full or partial risk for the care of a patient. But I also think of value-based care in terms of the patient journey across a condition or an episode of care. Outside of primary care, health plans have struggled to implement payment arrangements for specialists and hospitals that factors in the cost and quality of care across the continuum.   What has made this so challenging? Data – or the lack thereof. For years payors and providers have struggled to define a true episode of care and attach a payment and quality score to it. There is a company that is addressing this challenge by analyzing patient journeys on a holistic basis to better understand the full constellation of costs associated with healthcare encounters.   With me is Sun Web, co-founder and President at Komodo Health. Komodo Health is a healthcare technology company creating a new standard for real-world data and analytics through its platform, which enables real-time, actionable insight into the treatment, diagnosis, costs, and outcomes of millions of patients across the U.S. The company's foundational belief is that all healthcare stakeholders need a reliable “ground truth” understanding of the patient journey in order to understand the reality of patient experiences and address the burden of disease. With that at its core, Komodo is transforming the way the industry interacts with data and insight — fueling critical intelligence for stakeholders across healthcare.   Show Notes: book: No Rules, Rules: Netflix and the Culture of Reinvention by Reed Hastings and Erin Meyer.

Anatoly Postilnik, VP of Global Healthcare Consulting at First Line Software, is building software solutions and bringing data management, data analytics, and systems analysis to healthcare organizations. Original EHR systems were implemented to replicate paper flow and siloed data collection. As they move from paper-based to digital data, these organizations need to integrate diverse databases to manage the supply of resources and demand for patient care. Payers and providers also face changes in procedures and behavior to drive down costs and improve efficiency. Anatoly explains, "Clinician burnout is a really big topic. No matter what you start talking about, you end up talking about clinician burnout. Essentially yes, the demand and supply predictability factors into optimizing their workflow, simplifying their workflow, and eventually reducing provider burnout. But it also helps the organization to be more effective, so this is positive from multiple ends of not just people having better lives as practitioners. But providers practice better when they're in better institutions." "We know one organization that has 250,000 types of reports, not just reports, 250,000 types of reports. Close to 500 network shares are being populated by these reports on a daily basis. The organization has a team of people who generate these reports on a daily basis, and the turnaround for generating this report is sometimes six months. Now, how many of these reports are duplicates, and how many of these reports are conflicting? And every time somebody generates a report, maybe there already is a report." #FirstLineSoftware #HealthRecords #HealthData #DataIntegration #DataAnalytics #DIsasterResourceManagement #ClinicianBurnout #DataGovernance #EHR firstlinesoftware.com Listen to the podcast here

Anatoly Postilnik, VP of Global Healthcare Consulting at First Line Software, is building software solutions and bringing data management, data analytics, and systems analysis to healthcare organizations. Original EHR systems were implemented to replicate paper flow and siloed data collection. As they move from paper-based to digital data, these organizations need to integrate diverse databases to manage the supply of resources and demand for patient care. Payers and providers also face changes in procedures and behavior to drive down costs and improve efficiency. Anatoly explains, "Clinician burnout is a really big topic. No matter what you start talking about, you end up talking about clinician burnout. Essentially yes, the demand and supply predictability factors into optimizing their workflow, simplifying their workflow, and eventually reducing provider burnout. But it also helps the organization to be more effective, so this is positive from multiple ends of not just people having better lives as practitioners. But providers practice better when they're in better institutions." "We know one organization that has 250,000 types of reports, not just reports, 250,000 types of reports. Close to 500 network shares are being populated by these reports on a daily basis. The organization has a team of people who generate these reports on a daily basis, and the turnaround for generating this report is sometimes six months. Now, how many of these reports are duplicates, and how many of these reports are conflicting? And every time somebody generates a report, maybe there already is a report." #FirstLineSoftware #HealthRecords #HealthData #DataIntegration #DataAnalytics #DIsasterResourceManagement #ClinicianBurnout #DataGovernance #EHR firstlinesoftware.com Download the transcript here

Keeping every work team on the same trajectory for goals is key in utilizing the work balance of the human element in data science and analytics. Our guest today, Anne Marie Liska, Director of Partner Analytics at Zillow, joined to discuss how companies are balancing the human element of data sciences and analytics to create better collaboration between work teams and the executive leadership team's vision and own goals stay on the same trajectory! Join us as we discuss:Data science for corporate usageBalancing the human element of data analyticsFocusing tasks based on the executive team's visionCreating career paths for retention and promotionYou can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts.Listening on a desktop & can't see the links? Just search for In:Confidence in your favorite podcast player.

We're going to take a breath on the CTO Connection podcast for the next 3-4 weeks. When we first started the podcast, it was a “startup CTO podcast”. We've really enjoyed sharing the wisdom and experience of our guests on building and managing engineering teams at startups. However, we've seen over time that the challenges of running (say) a 5-20 person engineering team are very different from those involved when running a 200+ person org. And as many of our original startup CTOs have scaled their orgs to 200 people and beyond, we've decided to follow them.Because of that, we're going to refocus the podcast, the content, the summits, and the community on “geeks who lead at scale” - senior engineering leaders in larger companies with 200+ full-time employees in product/engineering. In that way, we'll be able to provide information that is more consistently tuned to one of the most challenging tasks out there - leading engineering orgs at scale.At the same time as we make the community more exclusive, we're also going to make it more inclusive. Whether you're running data, security, IT, or software development, there are many similarities when you're working within a company of around 500 - 10,000 employees. I've been involved with a number of “CTO” clubs across the US and in each case, I've seen the benefits of having a range of roles (from CIO and CISO to CDO and CTO - as well as directors and VPs of Software, Platform, Data/Analytics, and Security), as many of the challenges are the same, and it means the community has deeper expertise in a number of key topics if a CDO wants to learn more about engineering best practices for their data team or a CTO needs a hot take on an AppSec challenge they're facing.I am disappointed that - given our limited resources - we won't be able to continue the focus on content specifically tailored to startup CTOs, but I look forward to refining our focus so we can scale our ability to share experiences and insights from and between geeks who lead at scale.

Developing strong data analytics skills is crucial for management accountants to remain competitive. These skills enable management accountants to identify trends, forecast future performance, and optimize business processes, giving them a competitive edge. Demand for management accountants with data analytics skills is also increasing as more organizations use data to drive operations. Earning the CMA credential is the fastest way to acquire these skills. ---------- RESOURCES & LINKS MENTIONED IN THIS EPISODE:

Are you helping your members succeed?Before answering know a couple things.  Banks - definitionally - are in business to benefit their shareholders.A credit union, says Mac Thompson, founder and president of White Clay, which uses data analytics to help deliver more member successes, has as its mission member success.But it's the getting there that is the journey.To do it, said Thompson, many credit unions find themselves on a cultural makeover - and that's not always easy and rarely is fast.Now, you might think that a podcast with a data analytics geek would be a fast jump into propellerhead thinking.You won't find that in this show.But you will hear ways to consistently create more of the member successes that are the measure of a credit union.Listen up.Like what you are hearing? Find out how you can help sponsor this podcast here. Very affordable sponsorship packages are available. Email rjmcgarvey@gmail.com  And like this podcast on whatever service you use to stream it. That matters.  Find out more about CU2.0 and the digital transformation of credit unions here. It's a journey every credit union needs to take. Pronto

In this episode, we will be exploring the ways in which artificial intelligence and data can be used to address health inequity and improve healthcare for all. We'll discuss the ways in which AI and data can be leveraged to identify and address health disparities, improve access to care, and create more personalized and effective treatments.In addition to discussing the practical applications of AI and data in healthcare, we'll also be examining the ethical considerations and potential challenges that come with using these technologies. By the end of this episode, you'll have a deeper understanding of how AI and data are transforming the healthcare industry and how they can be used to build a more equitable and humane society. Tune in now to learn more about the exciting potential of AI and data in healthcare. Support the showFollow me on Facebook ⬇️https://www.facebook.com/manuj.aggarwal❤️ ID - Manuj Aggarwal■ LinkedIn: https://www.linkedin.com/in/manujagga... ■ Facebook: https://www.facebook.com/manujagro/■ Instagram: ...

Matt Manocherian is a former NFL Scout who's currently the Senior Vice President, Football & Data Analytics for Sports Info Solutions. He broke down the Bengals/Ravens game on ESPN1530. Podcasts of The Mo Egger Radio Show are a service of Longnecks Sports Grill.Listen to the show live weekday afternoons 3:00 - 6:00 on ESPN1530. Listen Live: ESPN1530.com/listenGet more: https://linktr.ee/MoEgger

Matt Manocherian is a former NFL Scout who's currently the Senior Vice President, Football & Data Analytics for Sports Info Solutions. He broke down the Bengals/Ravens game on ESPN1530. Podcasts of The Mo Egger Radio Show are a service of Longnecks Sports Grill.Listen to the show live weekday afternoons 3:00 - 6:00 on ESPN1530. Listen Live: ESPN1530.com/listenGet more: https://linktr.ee/MoEgger

In this episode of the KGI podcast, we sat down with Dr. Barbara Fortini, associate professor of genetics and the program director of the one-of-a-kind Master of Science in Human Genetics and Genomic Data Analytics (MSGDA) program, to discuss her background, history of the MSGDA program, and why it is important.

Today I'm chatting with Bruno Aziza, Head of Data & Analytics at Google Cloud. Bruno leads a team of outbound product managers in charge of BigQuery, Dataproc, Dataflow and Looker and we dive deep on what Bruno looks for in terms of skills for these leaders. Bruno describes the three patterns of operational alignment he's observed in data product management, as well as why he feels ownership and customer obsession are two of the most important qualities a good product manager can have. Bruno and I also dive into how to effectively abstract the core problem you're solving, as well as how to determine whether a problem might be solved in a better way.    Highlights / Skip to: Bruno introduces himself and explains how he created his “CarCast” podcast (00:45) Bruno describes his role at Google, the product managers he leads, and the specific Google Cloud products in his portfolio (02:36) What Bruno feels are the most important attributes to look for in a good data product manager (03:59) Bruno details how a good product manager focuses on not only the core problem, but how the problem is currently solved and whether or not that's acceptable (07:20) What effective abstracting the problem looks like in Bruno's view and why he positions product management as a way to help users move forward in their career (12:38) Why Bruno sees extracting value from data as the number one pain point for data teams and their respective companies (17:55) Bruno gives his definition of a data product (21:42) The three patterns Bruno has observed of operational alignment when it comes to data product management (27:57) Bruno explains the best practices he's seen for cross-team goal setting and problem-framing (35:30)   Quotes from Today's Episode   “What's happening in the industry is really interesting. For people that are running data teams today and listening to us, the makeup of their teams is starting to look more like what we do [in] product management.” — Bruno Aziza (04:29) “The problem is the problem, so focus on the problem, decompose the problem, look at the frictions that are acceptable, look at the frictions that are not acceptable, and look at how by assembling a solution, you can make it most seamless for the individual to go out and get the job done.” – Bruno Aziza (11:28)   “As a product manager, yes, we're in the business of software, but in fact, I think you're in the career management business. Your job is to make sure that whatever your customer's job is that you're making it so much easier that they, in fact, get so much more done, and by doing so they will get promoted, get the next job.” – Bruno Aziza (15:41)   “I think that is the task of any technology company, of any product manager that's helping these technology companies: don't be building a product that's looking for a problem. Just start with the problem back and solution from that. Just make sure you understand the problem very well.” (19:52)   “If you're a data product manager today, you look at your data estate and you ask yourself, ‘What am I building to save money? When am I building to make money?' If you can do both, that's absolutely awesome. And so, the data product is an asset that has been built repeatedly by a team and generates value out of data.” – Bruno Aziza (23:12)   “[Machine learning is] hard because multiple teams have to work together, right? You got your business analyst over here, you've got your data scientists over there, they're not even the same team. And so, sometimes you're struggling with just the human aspect of it.” (30:30)   “As a data leader, an IT leader, you got to think about those soft ways to accomplish the stuff that's binary, that's the hard [stuff], right? I always joke, the hard stuff is the soft stuff for people like us because we think about data, we think about logic, we think, ‘Okay if it makes sense, it will be implemented.' For most of us, getting stuff done is through people. And people are emotional, how can you express the feeling of achieving that goal in emotional value?” – Bruno Aziza (37:36)   Links As referenced by Bruno, “Good Product Manager/Bad Product Manager”: https://a16z.com/2012/06/15/good-product-managerbad-product-manager/ LinkedIn: https://www.linkedin.com/in/brunoaziza/ Bruno's Medium Article on Competing Against Luck by Clayton M. Christensen: https://brunoaziza.medium.com/competing-against-luck-3daeee1c45d4 The Data CarCast on YouTube:  https://www.youtube.com/playlist?list=PLRXGFo1urN648lrm8NOKXfrCHzvIHeYyw

From leading user groups, becoming an ACE, and naming Alteryx tools in Spanish, Alejandro Ferrandis has done it all. Hosted by User Groups Program Manager Flavia Brancato, Alejandro advocates for inclusive spaces for international language speakers to learn, share, and connect.Check out the full show notes on the Alteryx Community where you can comment and join in on the conversation, or use the #AlterEverythingPodcast on social media.Want more from Alteryx? Follow @Alteryx on Twitter, Facebook, and LinkedIn. You can also register for an Alteryx Community account, and download a free Alteryx trial to begin breaking through your analytic and business challenges.

Professor Alan Smeaton, from the Insight Centre for Data Analytics at DCU

Jason Carless graduated with part time Data Analytics Cohort 7. Originally from Michigan, I moved to Nashville 3 years ago trying to figure out what I wanted to do for the rest of my life. After trying out a few different paths, I have found myself to really enjoy breaking down and analyzing large sets of data and am excited how I can utilize everything I have learned in the future.

Rob Lunn graduated with part time Data Analytics Cohort 7. I am a Tennessee native and logistics professional of over 10 years who decided it was time for me to try something new. During my time at NSS, I have learned so much and met so many amazing people in the field. I can't wait to see what the future holds and am excited to begin my journey as a Data Analyst!

Sarah Missimer graduated with part time Data Analytics Cohort 7. I am a curious, collaborative, communicative marketing specialist turned data analyst. My passion for numbers became apparent when I told a colleague my favorite thing about marketing was "using the data to optimize campaigns." So, I decided to follow my passion. During my time at NSS, I have learned so much and truly admire all of my classmates. I am excited to build and grow in this career.

Steven Goolsby graduated with part time Data Analytics Cohort 7. An emerging data analyst making a transition as a real estate professional to the ever growing world of data. My time at NSS has been very humbling as I came to learn that what I thought I knew about data and analytics was only a very small percentage of what it takes to even start learning the trade. I have learned so much in my time here and hope to continue my education through hands on experience and further education.

Andrew Case graduated with part time Data Analytics Cohort 7. Ever since I moved to Nashville five years ago, I have been enthralled in the world of non-profit life. I have worked in food kitchens, homeless shelters, and most recently an alcohol and drug recovery community. In each of these occupations, I have seen the accumulation of mass data of these populations, but not the organization and the application to create something useful. This led me to take a deeper dive into the world of data analytics and I was entranced. The amount of information left uncovered is astounding and I want to be someone who helps explore the data.

Tyler Long graduated with part time Data Analytics Cohort 7. I've always had trouble deciding what I want "to be" when I "grow up". The winding path has lead to a major in English literature, an early career in grant compliance, and opportunities to learn SQL. NSS has taught me the value of combining my current skills with opportunities in computer science. I look forward to starting as a Data Analyst as a first step toward a career in natural language processing.

Tim Yost graduated with part time Data Analytics Cohort 7. Data Analytically driven associate professional seeking a challenging career in an esteemed organization to grow professionally, while earning a good reputation with peers. Seeking a Data Analyst Position that will utilize skills and expertise while offering opportunities for advancement. Am willing to start from the ground up, pursue necessary certificates as required and willing to travel.

Hannah Solima graduated with part time Data Analytics Cohort 7. I have been fortunate to have been able to travel the world through my university study abroad opportunities. Through this travel, I have been fascinated by different cultures, architecture, and foods and enjoy researching the places I visit. My love for research and looking at various statistics about different areas of the world got me interested in Data Analytics. I love how numbers can really tell a story about people and how they live. I am excited about applying that passion in ways that can help advance the mission of a company.

Kala McKinney graduated with part time Data Analytics Cohort 7. I have been in Nashville for 13 years. I have spent those years working in sales, management, finance, and program/project management across various fields. A common theme popped up in every role. I would somehow always gravitate towards projects and roles that required deep-diving data in order to make decisions. While my husband thinks it's odd, my most enjoyable days have been spent pouring through data and identifying trends or issues. I enrolled in NSS because I realized there was way more I could do outside my world of Excel and I'm so glad I did. I am already using the things I've learned here and am looking forward to making something that has always been an added bonus, my full-time career.

Krissy Lupton graduated with part time Data Analytics Cohort 7. My curiosity and passion for helping others have always driven me career-wise. I have spent the last 10 years working in the non-profit world, education, and healthcare. I began my career in social work and expanded my skills to Occupational Therapy. I am passionate about helping others reach their full potential despite the physical or mental barriers they may have. After a decade of working directly with clients and patients, I am excited to pivot into the world of data! Working in data allows me be curious all the time and to continue to follow my passion of helping other reach their full potential in a new and exciting setting.

Kirk Golliher graduated with full time Data Analytics Cohort 8. For the past five years, I've been a college minister at MTSU and also the University of Oregon. I'm currently building a foundational skill set for a career as a Data Analyst because of my passion for helping others make informed decisions. I also have a background in accounting which has helped develop this skill set even further. I'm excited to explore even more what it means to be a Data Analyst and the impact it has on the world!

AnnaGrace Petty graduated with full time Data Analytics Cohort 8. I have always been passionate about problem solving, more so if my problem solving helps others. Data Analytics truly combines my passion of working with real world data and my love for helping others. It allows me to help others reach their own goals, as well as my own personal goal. My goal is to always continue to grow and improve myself within the data field and outside the data field.

Rachel Kocheran graduated with full time Data Analytics Cohort 8. Solving problems is one of my favorite things to do. From daily challenges to long-term projects, SQL scripting to database diving, the more complex, the better. My current work experience involves childcare services and retail, and I am excited to now invest in the Data Analysis industry. With a natural penchant for creative solutions, I look forward to contributing to the dynamic and swiftly growing field of data exploration and visualization.

Cheyenne North graduated with full time Data Analytics Cohort 8. Throughout my life, I've approached every challenge with enthusiasm, creativity, and a ceaseless desire to achieve success. This passion and drive have paved the way to countless opportunities, unique experiences, and exceptional relationships both personally and professionally.

Tara Clark graduated with part time Data Analytics Cohort 7. I'm a Nashville native with a background in event production and restaurant management. My transition into Data Analytics comes from life long love of list making and needing to find patterns in information. NSS has been one of the best experiences of my life, because I've truly become part of such a great community of support. I look forward to seeing where my time at NSS leads me in the future!

Adrianne Austin graduated with part time Data Analytics Cohort 7. A data nerd..an actually Nashville Native(born and raised in Davidson Co) and proud Tennessee State Alumni. I am passionate about data analytics..particularly in healthcare because I enjoyed helping people. Since pursuing a career in medicine was not w/in my ministry, but since I have the ability to understand data, I want to pursue a career that uses technology to help improve the quality of care and life of a patient.

Christian Alsider graduated with part time Data Analytics Cohort 7. Healthcare professional with 20 years' experience throughout the revenue cycle, whose need to understand the root of issues lead to a love of all things data and a desire to work smarter not harder to get to those results.

Kevin Mackey graduated with part time Data Analytics Cohort 7. Previously a healthcare professional, I have always wanted to make a positive impact on others through my work. My new found fascination for programming and data analytics will finally allow me to use my skills to make that impact!

Daniel Hills graduated with part time Data Analytics Cohort 7. A healthcare professional turned Data Analyst. Turned from making medications and helping on site, to helping behind the scenes making data grow and explaining its importance. I am an individual dedicated to life long learning and developing my skills however possible!

Rebecca Wolfe graduated with part time Data Analytics Cohort 7. You're often told as a kid that you should pursue a career in whichever class is your favorite. My favorite classes were lunch and math. After spending seven years as a dietitian, I decided it was time to give math a try. At NSS, I've been sufficiently challenged and reminded of my love for learning. As a pediatric outpatient dietitian, I used data and evidence-based interventions to help children with complex medical conditions. I look forward to utilizing these skills along with my recently developed data analytics skills to help healthcare organizations make the best decisions in order to provide the best care. When I'm not working, you can find me playing violin/fiddle, playing volleyball, hiking, attending concerts, and traveling.

Preston Spencer graduated with part time Data Analytics Cohort 7. I am an analytic and logic-driven problem solver and project manager with more than 10 years of experience across public health, hospital operations, and journalism fields. My interest in data analytics and its potential for delivering insights to drive and unlock business growth has led me to learn SQL, Python, and advanced Excel technical skills through Nashville Software School.

Drew Carless graduated with part time Data Analytics Cohort 7. Data analyst with a diverse professional background. From the finance world to executive search and finally settling in the technology space, I found the one thing in common that I was passionate about in all industries; problem solving. I knew data analytics was the path I wanted, but getting there was my biggest struggle. Through NSS, I have learned the fundamental skills necessary to break into the data field and having fun along the way.

Jacob Morgan graduated with part time Data Analytics Cohort 7. My first foray into data analytics was all to prove a point. I kept a journal of inbound calls over a period of time. I compiled it into a presentation and asserted that the amount of time spent on the phone as a result of an inbound call was affecting productivity. It was mundane and boring, but I liked it. At the time, I had no idea I could make it a career. Eventually, my journal evolved into a primitive MS Excel dashboard to track my performance across multiple metrics. My plan was to identify and monitor trends in my performance, then make improvements. I did this for several years before I learned about the field of Data Analysis. Fast forward to now. My tool belt has expanded to include SQL, Python, Power BI, and Tableau, to name a few. My ability to explore and analyze data has grown exponentially. My next step is to take these tools as well as my years of professional experience and transition into the world of data!

Kogan Scherer graduated with full time Data Analytics Cohort 8. Transitioning from a decade plus career in the hospitality industry as a chef into a technical role. My passion for data and statistics has led me to pursue my second career as a data analyst.

Morgan Hines graduated with full time Data Analytics Cohort 8. After working in various professional fields, I made the decision to hone in on my passion for working with data. This led to my career shift to data analytics. I have always had an interest in statistics and data analysis, but my affection has only magnified after seeing all the data that was produced during the pandemic. I am looking forward to using my skills to narrate stories with data professionally.

Dhanashree Joshi graduated with full time Data Analytics Cohort 8. Physical Therapist, mom, data analyst.

Kevin Zavala graduated with full time Data Analytics Cohort 8. Lover of all things entomological, software, and cinema.

Rainwater Morehead graduated with full time Data Analytics Cohort 8. Rain has been in technical and data-driven spaces for most of her life, starting with working on the back end of her public school's television production and moving through a study of mathematics at her undergraduate university that stemmed from the question "How does this answer the questions being asked around us?" Even when she worked primarily in public speaking, Rain still cultivated a discipline of using data-driven technological choices to inform her connection to audiences and the way her messages would be received. Since enrolling at Nashville Software School, she's learned to use the tools of more traditional data analysis to hone a hobby into a craft and give precise, insightful, and relevant answers to questions drawn from the world of data around her. Rain is currently looking to find the company where she hopes to continue answering questions that affect and help the work of people making a difference in the world.

Steph Miller graduated with full time Data Analytics Cohort 8. I have worked in a few different fields but in all of my jobs, I have always been most excited about data and numbers. The things that will make me a successful data analyst are that I am able to visualize many parts of a project and am a creative problem solver.

Matthew Nicklaw graduated with full time Data Analytics Cohort 8. Data Analyst. Statistician. TV Writer. Golf Fanatic. Dad.

Lewis Garvin graduated with full time Data Analytics Cohort 8.

In this episode, Abhijit Bhatwadekar - Head of Data & Analytics at PPL Corporation, talks with Accenture's Lee Barrett about the evolution of the utilities industry and its use of artificial intelligence. Hear why data and AI are key to managing the changes taking place across the industry. Listen now.

Many banks focus on the technology needed to digitally transform their organization. But technology is only part of the equation. To be successful, leadership must manage internal and external expectations to improve both employee and customer expectations. Being named one of the most powerful women in banking several times, Amy Brady, the CIO of KeyBank, has leveraged her extensive career to build innovative solutions and end-to-end digital experiences at a time of massive change, increasing competition and unique challenges. We are very fortunate to have Amy Brady of KeyBank on the Banking Transformed podcast. Amy discusses how she manages more than 5,000 individuals cohesively, competing against much larger financial institutions and more nimble tech organizations.