Mining Your Own Business Podcast

In this podcast episode, we sit down for a chat with Derek Camp from Milo's Tea Company. Derek is the Senior Manager of Operational Analytics at Milo's Tea. Tune in as he shares his journey at Milo's, where he's grown from a replenishment analyst to leading a team of analysts across logistics, supply chain, operations, and quality. Derek discusses how his team leverages data to drive efficiencies and improve decision-making. He also offers valuable insights on the practical applications of operations analytics, team collaboration, and overcoming challenges in scaling data efforts across multiple production sites.In this episode you will learn: ⛛ How Derek's team uses analytics across logistics, supply chain, and production to drive operational improvements.⛛ The value of cross-functional collaboration with subject matter experts for deeper problem-solving.⛛ How Derek's team has scaled analytics efforts over time.⛛ The importance of managing relationships with stakeholders and addressing pushback on analytics-driven suggestions. Quote

In this episode of the Mining Your Own Business podcast, we're joined by Frazier Seay-Rad, a leader in AI and machine learning within the sports betting and casino industry. Frazier dives into how AI is transforming everything from enhancing customer experiences to driving revenue growth. Tune in as Frazier and host Evan Wimpey chat about practical applications of AI, the challenges of balancing innovation with regulation, and the crucial role of data privacy. Whether you're curious about AI's impact on your business or looking to understand the ethical considerations, we hope this episode provides you with some great food for thought.In this episode you will learn: ⛛ The importance of combining creative thinking with data-driven strategies⛛ Why a focus on ethical AI is so important for long-term success and customer trust⛛ How drawing from practices in different industries can provide fresh perspectives⛛ Why the ability to quickly adapt to technological advancements and industry shifts is key to staying relevant and successful  Quote

In this episode of Mining Your Own Business, John Cook shares his unconventional journey to leading a data science team at one of the world's largest hospitality companies. As Senior Director of Data Science and Reporting at Marriott International, John guides a talented team supporting U.S. and Canada sales, marketing, and revenue management for Marriott.Tune in as John shares insights into the intricacies of revenue management, the importance of clear data communication, and how understanding different business aspects helps with problem-solving. You won't want to miss this engaging conversation with our host Evan Wimpey. In this episode you will learn: ⛛ Why technical aptitude and business understanding go hand in hand⛛ The importance of communication and storytelling with data⛛ Why immediate business needs must be balanced with long-term, scalable solutions⛛ How understanding different parts of a business can help with problem-solving Quote

In this episode of Mining Your Own Business, Data Scientist Xhoana Laska shares how she and her team are bringing data innovation to the field of industrial paint and coatings, an industry that became prominent in the late 1800s.With her background in mathematics and statistics, Xhoana's knack for numbers has come in handy in her role at National Coatings & Supplies | Single Source, Inc. She has spearheaded projects to save thousands of labor hours, optimize inventory processes, improve demand forecasting, and more. Join us as our podcast host, Evan Wimpey, chats with Xhoana about interesting projects she's worked on and insight she's gained along the way!In this episode you will learn:⛛ The importance of identifying areas where data analysis can drive significant efficiency improvements⛛ Why effective communication is crucial for stakeholder buy-in⛛ The need to prioritize projects based on business-critical needs⛛ The importance of creating a culture of learning that empowers employeesQuote

Explore the dynamic world of retail data analytics with Sravan Vadigepalli, Senior Director of Products and Engineering at Lowe's. In this episode you'll learn about the unique analytics challenges and opportunities in the home improvement space and how Lowe's approaches product development. During the chat Sravan also shares his thoughts on the future of data-driven innovation in retail. Grab some coffee and join host Evan Wimpey as he delves into the intersection of technology and customer-centric solutions. We hope you enjoy the conversation!In this episode you will learn: ⛛ The importance of recognizing and adapting to the diverse needs of customers⛛ Why data initiatives should be aligned with broader business objectives⛛ How Sravan's team uses a unique framework to streamline decision-making processes⛛ The need for a balance between building internal tools and leveraging external solutionsQuote

When considering evaluation metrics for classification models, is it possible for one metric to rule them all? Join us for a lively debate between Aric LaBarr, Associate Professor of Analytics at NC State's Institute for Advanced Analytics, and Robert Robison, Elder Research Senior Data Scientist. During the debate Robert champions AUC's comprehensive measure of model performance, while Aric advocates for a broader perspective, emphasizing the importance of business context in metric selection. Tune in as host Evan Wimpey moderates the discussion, and gain valuable insight on what really matters when it comes to machine learning model evaluation. We hope you enjoy the conversation! In this episode you will learn: ⛛ The importance of exploring various metrics to evaluate model performance ⛛ Why metrics should align with business objectives  ⛛ The need for data science teams to invest time in feature engineering ⛛ Why a model's success relies not only on its performance but also on stakeholders' ability to understand and trust the insights it provides  Quotes

In this episode Evan Wimpey sits down to chat with Nirmal Budhathoki. A seasoned data scientist at Microsoft, Nirmal has extensive experience in both cybersecurity and the tech industry. During the conversation Nirmal discusses his unique career journey, from unexpected detours, including serving in the Army, to becoming a data scientist. He also talks about applications of machine learning in cloud security, emphasizing the need for proactive defense strategies. Additionally, Nirmal offers advice for aspiring data scientists and highlights the ongoing advancements in the field. In this episode you will learn: ⛛ How individuals from diverse experiences can excel in data science⛛ The importance of proactive defense strategies in cybersecurity⛛ The need for community engagement and mentorship in the field of data science⛛ How Large Language Models (LLMs) can be used to enhance cybersecurity measuresQuote

Kicking off Season 3 of Mining Your Own Business, Evan Wimpey sits down to chat with Bill Shube. A supply chain analytics expert with over 11 years at the LEGO Group, Bill is also the founder of Supply Chain Watchtower. Through his company Bill's goal is helping small businesses effectively manage their inventory.Grab a chair and tune in as he shares his story. Bill talks about how his team has successfully leveraged citizen development to gain actionable insights from data, saving thousands of hours and much more. Plus he shares how citizen development can impact on data tasks, governance, and scalability within an organization. In this episode you will learn: ⛛ How citizen development can be used to empower business teams to play a more active role in data analytics ⛛ The need for governance initiatives to manage potential risk and ensure citizen developers stick to best practices⛛ How no-code and low-code tools can complement existing systems, boosting collaboration rather than creating silos ⛛ Why a mindset change is crucial for all teams to be empowered to make the most of data  Quote

In this episode Evan Wimpey chats with Mike Arney, founder of PB Vision, a company helping pickleball players gain game-changing insights. Tune in as he shares how his company got started and how his team is applying AI, machine learning, and computer vision in new ways.  Mike also shares why it's important to value the thoughts and ideas of end users and how that collaboration makes a difference. Whether your team is embarking on a new analytics project or seeking data-driven inspiration for existing ones, we hope this episode will be insightful! In this episode you will learn: 

In this episode of Mining Your Own Business, Evan Wimpey chats with Eric Siegel, bestselling author and founder of Machine Learning Week. Tune in as he shares why businesses need to focus on machine learning projects that work in the real world. Eric also dives into the importance of measuring the impact of machine learning projects, the need for business professionals to understand the technology, and the potential challenges associated with overhyped AI expectations. In this episode you will learn: 

Tune in as host Evan Wimpey chats with PayPal Data Science Lead Gulrez Khan about the art of data storytelling. With over two decades of experience, Gulrez has discovered how data storytelling can be an effective tool to bring clarity to the complex. In this episode he shares lessons he's learned and creative ways he's helping children and adults build data literacy. Key Takeaways

Join us as we chat with our founder Dr. John Elder. In his decades of experience, he's witnessed the ebb and flow of numerous data analytics projects. And along the way he's discovered keys to achieving success.Key Takeaways

Sarah Kalicin from Intel shares insight on how data science can positively impact the way teams work on this episode. As an HR Data Scientist at Intel Corporation, Sarah brings a wealth of experience and knowledge to our discussion. Her journey is a fascinating blend of industrial statistics and diverse industry experience, including roles at Ford Motor Company, Nabisco Craft Foods, and medical device companies. Her current role in HR data science showcases her ability to bridge the gap between business problems and data solutions. Join us as we explore Sarah's insights into the ever-evolving landscape of data science and how it can transform organizations.Key Takeaways

Grab some coffee and tune in as Jack Levis, Chief Product Strategy Officer for ESP Logistics Technology, chats with Evan Wimpey on the Mining Your Own Business podcast. Jack spent over 40 years at UPS, making significant contributions to their use of analytics and technology. In this episode he reflects how UPS evolved as a data-driven organization and how change management was a key part of that process. You'll also learn why leaders should look beyond buzzworthy technologies to reach organizational goals and empower their teams. Key Takeaways

In the ever-evolving world of data science, creativity is key to problem-solving. In this episode Mary Stimson, Big Data Analyst at Southwest Airlines, shares her journey into data science and how creativity has come into play in her role. Tune in as host Evan Wimpey chats with Mary about the importance of adaptability and innovation in data science, and how these elements play a role in creating solutions. Key Takeaways

In this episode you'll meet Kathryn Walter, a senior operations research analyst at Avista Corporation. Kathryn shares an inside look at how operations research is making an impact at this utilities company based in Spokane, Washington. Tune in as our host Evan Wimpey chats with Kathryn about how she got into the field and how her team has used operations research to make informed and cost-saving decisions. With a dash of humor and tips to drive organizational change, you won't want to miss this episode!  Key Takeaways:

Kicking off the second season, Evan Wimpey chats with Nechama Katan, director of data science for a large pharmaceutical company. In the episode Nechama shares how her journey in the world of analytics and pharmacy began and what she's learned along the way. From using risk-based monitoring in clinical trials to building effective teams, Nechama's experience has led to data-driven solutions and better communication. Come along as Nechama shares her experience in pharmalytics and gain insight on the importance of data literacy in an organization. We hope this episode sparks fresh ideas and perspective!Key Takeaways:

On the show today, Evan sits down with Isaac Collazo, Vice President of Analytics at STR. Isaac shares how he got started in the travel and hotel industry, and how he's seen data analytics in the hotel space take off and advance over time. He discusses what type of data STR works with and how they strategize delivering key insights to their clients. Isaac and Evan also discuss what it takes to be a successful data analyst on these types of projects, highlighting crucial characteristics such as creativity, play, and drive. Finally, Isaac speaks on opportunities he sees in the hospitality industry and in his current role at STR.    Key Takeaways:  

Today we welcome to the show Eric Sims, Senior Analyst of Strategy and Analytics at LendingTree, an online lending marketplace. Eric and host Evan Wimpey discuss the process of getting projects off the ground, ways of making analytics accessible to business units and stakeholders, and gaining alignment on business endeavors. Eric also shares how he has been enriched by personal investigative data projects, and tips for others endeavoring on a side project. Finally, Eric speaks about the importance of understanding one's clients and truly putting oneself in their shoes. We hope you enjoy this insightful episode!  Key Takeaways: 

On today's episode, Francisco Rius gives us an exclusive look into the data world of the ever-popular video game Minecraft. Francisco is the Head of Data Science and Data Engineering with a background in business economics and marketing. He and host Evan Wimpey discuss his journey to his current role at Minecraft and how data insights are used to improve each player's experience. Francisco shares how a relationship-oriented approach that prioritizes social listening is crucial to the game's long-term success. They discuss what it takes to have a strong data team in a creative field. Finally, Francisco wraps up by sharing his vision for the intersection of AI in video games. Tune in for an enlightening and inspiring conversation.  Key Takeaways: ⛏️ How data have provided insights to improve Minecraft over the past twelve years ⛏️ How Minecraft practices social listening to provide the best game experience possible for their players ⛏️ The different skills and expertise needed for a strong, creative data science team ⛏️ How AI opens new worlds of possibilities for the video game industry Quotes:

On today's episode, we welcome Rob Horrobin to the show. Rob is Pacific Life's AVP of Data Science where he leads the Advanced Analytics Center of Enablement. You'll hear Rob and Evan discuss the Center of Enablement and how it supports data science efforts across the organization. Rob describes their "Do-Partner-Support" strategy, which governs how they support internal clients while also creating possibilities for true transformation. We'll also hear about the intersection between actuarial science, data science, and engineering, as well as the importance of varied skill sets and backgrounds in data science professions. Rob and Evan end by exploring the future paths of analytics capabilities. Key Takeaways:  

Description: We're kicking off the new year with Rick Hinton, founder and CEO of Valerius Consulting. Valerius provides adaptive change management services, especially for data analytics organizations. Rick and Evan discuss what change management looks like in the analytics world and why it's necessary for growth. We learn about the importance of the words “trust”, “deliberate”, and “gradual” as they relate to implementing effective change. Rick wraps up by teaching us the CALM process for change management (Communication, Alignment, Learning, & Measurement) and providing practical advice for businesses.  Key Takeaways: 

Today's very special guest joins us all the way from the North Pole. Elf is the Head of Data and Analytics at Santa's Workshop. Elf and Evan discuss how the elves got into data analytics to solve complex problems, from toy manufacturing to efficient delivery routes. Elf describes how data analytics has changed over the centuries that he's worked at Santa's workshop. He also provides insight on increasing buy-in from key stakeholders. Evan and Elf wrap up by discussing Elf's vision for the future of analytics to increase the amount of joy and cheer spread throughout the world. Tune in for an exclusive look into the magic of Santa's Workshop! Key Takeaways: 

Joining us today is Selma Dogic, Senior Manager of Analytics at Carter's. Selma discusses strategies for the implementation and adoption of data solutions in a large multi-brand business. Selma and Evan also talk about how data teams coordinate with the business side of Carter's to deliver solutions. Finally, Selma discusses future directions for data analytics at Carter's, which includes the importance of building a healthy data culture and data literacy at organizations. Tune in to hear more of this informative and thoughtful episode! Key Takeaways:

In this episode, we are joined by Zach Wasielewski, Senior Data Scientist at General Mills. Evan and Zach discuss Zach's role in strategic revenue management and how data science teams operate cohesively in a large multinational company like General Mills. They discuss change management strategies and how General Mills has grown as an established company. Zach also shares about his background in financial services and discusses his transition to consumer product goods.  We recommend enjoying this episode over a bowl of Cinnamon Toast Crunch. Tune in for an entertaining and informative conversation! Key Takeaways: 

Description   Joining Evan on the data science slopes is Gus Kaeding, Senior Manager of Data & Analytics at U.S. Ski & Snowboard. Gus shares how his background in professional skiing, coaching, and the U.S. Olympic Committee informs the work he does today. He discusses the types of challenges athletes use data to solve and the tech infrastructure for sharing insights with coaches. Gus also explains some of the challenges with data collection and how he envisions data collection in the future. Gus and Evan wrap up by discussing the future of the U.S. team. Tune in for an invigorating episode on sports analytics!   Key Takeaways  How data benefits athletes and team development and creates champions How data insights are delivered to coaches and athletes Challenges in data collection and how new innovations are addressing them Insights into the future of the U.S. Ski & Snowboard team  Quotes  “It's about growing those sample sets - whether they are in the gym or at home, during recovery, or on the slopes - as much as we can. And solving for “how do you create those results?” whether good or bad, and incrementally improving those.” - Gus Kaeding “Anytime you're talking about an analytics kind of project, whether it's in business or whether it's in an MBA program, buy-in's always tough and there's a number of different stakeholders you have to address. So, most of the projects that I work on are sourced from a question that comes from the coaches” - Gus Kaeding “Now we really want to make sure we're scaling. And when we identify some of those [young] athletes, to support them in a way where they're bringing their friends, their community, and the sport along with them as well.” - Gus Kaeding  Featured in this episode  Evan Wimpey  Director of Analytics Strategy at Elder Research.  Company website: www.elderresearch.com  LinkedIn: https://www.linkedin.com/in/evan-wimpey-40469b47  Gus KaedingSenior Manager of Data & Analytics at U.S. Ski & Snowboard LinkedIn: https://www.linkedin.com/in/kaedinggus/   Chapters  01:40 – Gus's background and how he got into ski & snowboard data  03:49 – What types of data is collected for ski and snowboard?  06:23 – Video tracking for data collection: challenges and benefits 09:10 – How are analytics efforts prioritized?  13:38 – How are data insights delivered to coaches and athletes? 16:22 – Challenging conventional norms  20:03 – Does ski data change the way you ski? 22:47 – What's one data question you aspire to answer? 27:12 – For the fans of U.S. Ski & Snowboard: what to look out for  

Description   In this episode, we hear from April Wilson, Head of Career Services at the Institute for Advanced Analytics. April's ten years of career expertise inform the insights she provides on hiring in the analytics world. She shares the most desirable skills companies look for when hiring, the importance of having equal expectations, and the benefits of having an open mind when evaluating candidates – the skills they have may be beneficial in unexpected ways. Evan and April wrap up by discussing three tips for teams looking to hire.    Key Takeaways  The primary skills that employers are looking for when hiring  How companies and prospective hires can manage their expectations The surprising truth about industry experience The importance of an open mind when hiring  Quotes  “I want you to know the technology, I want you to understand it, but I need for you to be able to talk about it and explain it as well.” - April Wilson   “[The skills employers are looking for are] like a three-prong: it's that technology, that communication, and that ability to present to stakeholders. And be able to present the right information to your stakeholders.” - April Wilson   “Remember, there's no such thing as unicorns. It takes a team, a data science team to do well.” - April Wilson  “[Employers] don't care if you're straight outta undergraduate or if you've been a college professor for 15 years, as long as you have the skills that they need, you fit the organization, and you feel like you have something to contribute.” - April Wilson     Featured in this episode  Evan Wimpey  Director of Analytics Strategy at Elder Research.  Company website: www.elderresearch.com  LinkedIn: https://www.linkedin.com/in/evan-wimpey-40469b47     April Wilson Head of Career Services at Institute for Advanced AnalyticsIf you are a company interested in learning more about recruiting analytical talent you can email April at april_wilson@ncsu.eduIf you are an individual that wants to hone the skills you need to get the job you want, email April at clearpathcs@gmail.comLinkedIn: https://www.linkedin.com/in/april-wilson-8125a55/   Chapters  01:09 April's background and the work she does in career services 02:27 The skills sets individuals need when entering and exiting a master's program 05:10 How the demand for certain skills has changed over time 09:46 Commonly overlooked skills and company expectations when hiring 15:12 Importance of accurate job descriptions and equal expectations  16:44 Prospective hires with much vs. little experience – should they take different approaches? 21:09 Does industry experience make a difference?  26:13 Three tips for teams looking for candidates 

Description  Welcome to Mining Your Own Business Podcast. Each episode will bring in data and analytics gurus from around the world as they regale us with their data analytics stories and enlighten us with their secrets for how to turn data into actionable insights.  Today's episode features Nick Wan, Director of Analytics for the Cincinnati Reds Baseball Team. Evan and Nick's conversation covers the value sports analytics provides to everyone involved, from hiring personnel to coaches to players. You'll hear about how specific baseball rule changes affect analytics and the accessibility of sports data to analysts and fans alike.  You'll also learn how Nick's work landed him on the front page of the New York Times and what he envisions for the future of sports analytics.     Key Takeaways  The breadth of analytics usage in the sports world The demand for data that is applicable and actionable How public research can add value to the analytics world The importance of critical thinking to ensure sound methodology  Quotes  “The goal is really to produce work that is not just strong statistically, but also applicable.” - Nick Wan  “Everyone's reading FanGraphs in the industry. It truly is a bastion of the analytics community, not just in baseball, but in sports in general.” - Nick Wan  “You do have to be a pretty sharp, critical analyst or analytics contributor to recognize when the methods are off a bit.” - Nick Wan  Featured in this episode  Evan Wimpey  Director of Analytics Strategy at Elder Research.  Company website: www.elderresearch.com LinkedIn: https://www.linkedin.com/in/evan-wimpey-40469b47  Nick Wan Director of Analytics, Cincinnati Reds Baseball Team Twitch: https://www.twitch.tv/nickwan_datasci  YouTube: https://www.youtube.com/c/NickWan  Twitter: https://twitter.com/nickwan  LinkedIn: https://www.linkedin.com/in/realnickwan/  Check out Nick's front page NYT article feature: https://www.nytimes.com/2015/02/14/upshot/how-arizona-state-reinvented-free-throw-distraction.html   Chapters  01:17 How Nick got into sports analytics from a neuroscience background 05:49 How sports data analytics teams are organized functionally 08:28 Who are the end users of sports analytics? 12:00 Demand for applicable data 13:56 Accessibility of sports data  18:21 The value of the public research field of sports analytics 24:18 How do rule changes in the game affect analytics?  29:33 Neuroscience: the future of sports analytics?  

Welcome to Mining Your Own Business Podcast. Each episode will bring in data and analytics gurus from around the world as they regale us with their data analytics stories and enlighten us with their secrets for how to turn data into actionable insights.In this episode, we are joined by not one but two data science and analytics leaders from Home Depot: John Carroll and Jon Weininger.You'll hear them discuss their past and present roles at Home Depot as experts on analytics on different teams.They offer insight into coordinating with different teams across the organization and how their respective backgrounds inform the way that they communicate with both technical and non-technical individuals about data.You'll also hear them talk about prioritization when it comes to project management and the ways they've learned from and adapted to challenges over their careers.Finally, they share the “why” behind their work and their role in creating value and impact for the company as a whole.Key TakeawaysHow the data science and analytics teams have evolved over time, responding to company needs The dynamics of the data science team and how they communicate their ideas with other data teamsStrategies and approaches to prioritizing projects in a complex environment Common roadblocks and how to prioritize the problems that need to be solved  QuotesMy role  is more strategic and supporting the good works and making sure the roadblocks are gone and our leadership understands the value of what our data science teams are working on - John CarrollPeople are asking for analytic support. Therefore, more people want analytic support - EvanMarket timing is like organizational interests and kind of the likelihood of getting a strong adoption from somebody who can help to focus attention and resources - John Weininger Featured in this episodeEvan WimpeyDirector of Analytics Strategy at Elder Research.Company website: www.elderresearch.comLinkedin: https://www.linkedin.com/in/evan-wimpey-40469b47 Jon WeiningerData Science Manager, Home DepotLinkedin: https://www.linkedin.com/in/jonweiningerhttps://careers.homedepot.com John CarrollSenior Manager MET analytics and Insights, Home DepotLinkedin: https://www.linkedin.com/in/johncarroll652 https://careers.homedepot.com  Chapters01:34 Jon Weininger and his work background02:31 John Carroll and his work background05:03  How does Home Depot structure their data analytic capability? 09:12  Communicating technical work to other teams 15:09 What are the roadblocks?21:17  How to set priorities with stakeholders 25:59 Given an ideal scenario, where do you want to focus your analytics effort?

Welcome to Mining Your Own Business Podcast. Each episode will bring in data and analytics gurus from around the world as they regale us with their data analytics stories and enlighten us with their secrets for how to turn data into actionable insights.In this episode, we are joined by Olga Sazonova, Director of Data Science at NutriSense. Through her work as a data scientist and her own personal experience, Olga offers insight on how having access to one's personal health data can empower individuals to take charge of their wellbeing.  You will hear about how their data analytics team is structured to work efficiently with their clients' data, and how data analysts of different backgrounds complement each other. Olga also discusses the importance NutriSense placed on developing meaningful data since being founded in 2019 and how insights from the data work alongside professional insights from subject matter experts.  Evan and Olga wrap up by discussing future possibilities Olga sees for this type of work, especially in accurately predicting health outcomes.  Key TakeawaysWhat NutriSense does and how they use data analytics to help personal health The value in building a team with complementary skill sets How to create text data that enable meaningful insights How personalized data can be a powerful motivator for lifestyle change  QuotesWithin our company, we're very aligned on the idea that you want to practice a holistic approach to someone's well-being. - OlgaThe hope was that if we teach people about their genetic risk and tell them what they can do to mitigate that risk, they will be motivated by that information to do it. - OlgaI think for every individual there are so many other factors that will impact the results for a given meal, so it's wrong to expect the same results every time. - Olga Featured in this episodeEvan WimpeyDirector of Analytics Strategy at Elder Research.Company website: www.elderresearch.comLinkedin: https://www.linkedin.com/in/evan-wimpey-40469b47 Olga SazonovaDirector of Data Science at NutriSenseLinkedin: https://www.linkedin.com/in/olga-sazonova-0328124 Company Website: https://www.nutrisense.io  Chapters00:00 Intro01:26 Olga's background 05:00 What NutriSense does 09:31 Potential challenges faced by breadth of data collection 11:44 Organization of a data analytics team 13:44 How personalized data can lead to change 16:27 What to do when professional advice clashes with the data 19:49 Data results are unique to each person 23:01 One burning question that Olga would like to solve 25:25 Conclusion

Welcome to Mining Your Own Business Podcast. Each episode will bring in data and analytics gurus from around the world as they regale us with their data analytics stories and enlighten us with their secrets for how to turn data into actionable insights.In this episode we are joined by Jay Lanterman, Senior Manager, Operations Performance Analytics & Insights at InterContinental Hotels Group (IHG).In this podcast, Jay shares how data analytics is being applied in the hospitality industry to create operational efficiencies. Evan and Jay discuss some of the specific project areas where analytics can be applied and how teams can work together to across the business to ensure lasting impact.They also discuss the impact COVID had on everything from customer experience data to demand data and how they think about forecasting moving forward.Key TakeawaysHow data analytics is being applied in the hospitality industryHow teams can work with other functions, across business units, and with franchisesHow to convey insights to non-technical stakeholders to encourage implementationHow to think about forecasting as we come out of COVID QuotesThat's what analytics is for, it is to guide the business and help them focus rather than tackling everything all at once. - Jayif I had a magic wand, it would be great if we all use the same system and we could get the cleanest data and everyone would operate on it and set it perfectly - Jay Featured in this episodeEvan WimpeyDirector of Analytics Strategy at Elder Research.Company website: www.elderresearch.comLinkedin: https://www.linkedin.com/in/evan-wimpey-40469b47 Jay Lanterman  3rd degree connectionSenior Manager, Operations Performance Analytics & Insights at InterContinental Hotels Group Linkedin: https://www.linkedin.com/in/Jay-lanterman-36641b86 Company Website: https://www.ihgplc.com/en/  Chapters00:00 Intro01:16 Jay's background03:06 Projects and types of data in hospitality06:00 Challenges of accessing data from franchises08:30 The value of the data architecture team10:04 Collaborating with teams across the business11:58 Putting the recommendations into action15:01 The challenge to conveying insights to non-technical stakeholders20:06 Getting data from the "front lines"22:38 Forecasting post-COVID25:57 If there was a magic "analytic success" button, where would Jay use it at IHG? 

Welcome to Mining Your Own Business Podcast. Each episode will bring in data and analytics gurus from around the world as they regale us with their data analytics stories and enlighten us with their secrets for how to turn data into actionable insights.In this episode, we are joined by Liping Wu, a Senior Manager of Data Science at Advance Auto Parts.Liping and Evan discuss how the many applications of data science that the enterprise analytics team is deploying at Advance Auto Parts, how the enterprise team achieves success with the different business verticals, and the advantages and disadvantages of having an enterprise data science team vs a team embedded within a business function.You will hear how the the pandemic has impacted their data, the models the use, and the initiatives they work on. Liping specifically discusses the opportunities in improving supply chain demand forecasting.Key TakeawaysWhere Advance Auto Parts is applying analytics in their businessHow the enterprise analytics team achieves success working with the different business functionsAdvantages and disadvantages of having an enterprise data science team vs embedded teamsThe impact of the pandemic on their data, models, and analytic initiativesThe opportunities for using analytics in supply chain forecasting QuotesFolks like us who have similar skill sets find it easier to cross-pollinate the technologies as it evolves because the design is changing and we need to keep learning every day. - LipingThe auto parts industry had record high DIY sales after the dip in March and April In 2020 - LipingWe did find that simplicity is the virtue in these changing times - LipingFeatured in this episodeEvan Wimpey Director of Analytics Strategy at Elder Research.Company website: www.elderresearch.comLinkedin: https://www.linkedin.com/in/evan-wimpey-40469b47Liping WuSenior Manager, Data Science at Advance Auto PartsLinkedin: https://www.linkedin.com/in/liping-wu Company Website: https://shop.advanceautoparts.com/  Chapters00:00 Intro01:50 Liping's background03:34 About Advance Auto Parts06:12 How the enterprise analytics team works with the different business functions09:33 How the Advance Auto analytics team is structured13:27 Pros and cons of enterprise data science team vs teams embedded in verticals19:31 The impact of the pandemic on their data science efforts26:02 If there was a magic “analytic success” button, where would Liping use it at Advance Auto Parts?

Welcome to Mining Your Own Business Podcast. Each episode will bring in data and analytics gurus from around the world as they regale us with their data analytics stories and enlighten us with their secrets for how to turn data into actionable insights.In this podcast, we are joined by Korri Jones, A Senior Lead Machine Learning Engineer and Innovation Coach at Chick-Fil-A. He discusses his background and his career journey that lead him to be a Machine Learning Engineer working at Chick-Fil-A.he also talks about what it is to be a Machine Learning Engineer and what are the usual works and tasks every day. He also shares how he manages his teams such as the Data Science Team and the Data Engineering Team to be more productive and dynamic with each other. He also answered the big question in this show, given an ideal scenario, what would you focus on? Lastly, Korri describes what it looks like working with Chick-Fil-A.Key TakeawaysWhat is a machine learning engineer and when they get involved in a projectThe value that an innovation coach brings to a teamWhere project ideas originate & how they are decided uponHow they operationalize projects at Chick-fil-AThe unique culture of the Chick-fil-A team QuotesI want people to do what they are hired to do and really just crush it. I don't need a data scientist doing all of the engineering work. I don't need the engineer doing all the data science work. - Korri Some people talk about thinking outside the box. We help to make sure that there is no box in the first place. And so you don't have to try to think inside or outside of a box. - Korri Featured in this EpisodeEvan Wimpey Director of Analytics Strategy at Elder ResearchLinkedin: https://www.linkedin.com/in/evan-wimpey-40469b47Website: www.elderresearch.comKorri Jones Senior Lead Machine Learning EngineerInnovation Coach at Chick-Fil-A Linkedin: https://www.linkedin.com/in/korri-jones-mba-780ba56 Chapters00:00 Introduction01:39 Korri's Background04:00 Korri's Career as a Senior Lead Machine Learning Engineer07:01 Balancing the technical side and business side09:01 What is an innovation coach?11:36 Getting the ideas from the data science team or others14:02 When does a machine learning engineer get involved16:44 How are projects decided upon19:11 If there was a magic "analytic success" button, where would Korri use it?22:51 Working With Chick-Fil-A 25:10 Outro

Welcome to Mining Your Own Business Podcast. Each episode will bring in data and analytics gurus from around the world as they regale us with their data analytics stories and enlighten us with their secrets for how to turn data into actionable insights.In this episode, we are joined by Alex Cunningham, Manager of Advanced Analytics at Church & Dwight. Alex and Evan have a thought-provoking discussion about how to drive analytics successes, build momentum, and develop partners. He also discussed their strategy to develop a good product and the team's secret to integrating that process. Alex also touches on what makes the analytics team at Church & Dwight special and the most important traits they look for when growing their team. Key TakeawaysWhat the analytics center of excellence group of Church and Dwight is.How to build momentum and develop partners early on.How to prioritize projects and implement them into production.What traits they value in their analytics team.Where Alex would use a "analytic success" button if he had one. Quote TakeawaysWe went out to folks and invited them to join the circle as partners. Then, once we've established ourselves, it gets better. We don't need to do much to attract people; they're drawn in because they've heard about our successes and achievements and want to be a part of it. - AlexEmpathy and humility. Two closely related traits are what allow us to become those good partners to folks in the business in that internal consulting type capacity. - AlexBeing a lifelong learner is one of the qualities I believe is essential for a successful data scientist. The learning component is something that strong data science groups truly value. - AlexSpeakers of this Episode Evan Wimpey | Director of Analytics Strategy at Elder Researchwww.elderresearch.comLinkedin: https://www.linkedin.com/in/evan-wimpey-40469b47Alex Cunningham | Manager, Advanced Analytics at Church & Dwight Co., Inc.Churchdwight.comLinkedin: https://www.linkedin.com/in/alex-cunningham-297a8a39Timestamp00:00 - Intro01:43 -  Alex's background and career history 04:50 -  How Church & Dwight structures their analytics capability 06:06 -  How the analytics group has integrated in the business & built momentum 11:33 -  How they prioritize & implement projects 19:05 -  The important aspects of their team 23:43 -  If there was a magic "analytic success" button, where would Alex use it? 

Welcome to Mining Your Own Business Podcast. Each episode will bring in data and analytics gurus from around the world as they regale us with their data analytics stories and enlighten us with their secrets for how to turn data into actionable insights.In this episode, we are joined by Gerhard Pilcher, the CEO of Elder Research. He is also the author of the book titled Mining your Own Business. In this episode, he talks about his book and the possibility of a second edition. He also discusses the challenges of the new analytics approach, as well as how it compares to previous models. Gerhard underscores the key components needed to drive change and adoption. He also discusses the similarities and differences between successful and failed projects that he has seen in the past. He then ended the conversation by answering the question, “If there was a magic button, where would you use Analytics?”Key Takeaways-Discovering what the book "Mining Your Own Business" is all about-The possibility of a second edition-What are the  challenges of the modern model of analytics-The commonalities of successful and failed projects-What Gerhard hopes to learn from future episodes of this podcast-If there was a magic "analytics success" button, where would Gerhard use it?Quotes From The Episode"Success is when the team is willing to be have their norms challenged." - Gerhard"Exploring why the analysis is counterintuitive can lead to some of the most significant breakthroughs. However, I believe that people who are unwilling to be questioned may miss out on a tremendous chance." - GerhardBooks Mentioned in The EpisodeMining Your Own Businesshttps://www.elderresearch.com/resource/books/mining-your-own-business-how-to-use-analytics-in-your-business/ Amazon ->https://www.amazon.com/Mining-Your-Own-Business-Understanding/dp/0996712100