DataMasters

Episode 7, Season 2Anthony sits down with Kevin Hu, CEO and co-founder of Metaplane, a new data observability company. The two discuss whether bugs exist in data, what Kevin learned from Y Combinator, and what the kids are studying these days.

Episode 7, Season 2Anthony sits down with Kevin Hu, CEO and co-founder of Metaplane, a new data observability company. The two discuss whether bugs exist in data, what Kevin learned from Y Combinator, and what the kids are studying these days.

Episode 6, Season 2Anthony sits down with Trifacta’s CEO Adam Wilson to talk about changes to the data landscape, why we need to pay more attention to how we people become “data-driven”, and how Tamr and Trifacta work in harmony to deliver transformative data initiatives.

Episode 6, Season 2Anthony sits down with Trifacta’s CEO Adam Wilson to talk about changes to the data landscape, why we need to pay more attention to how we people become “data-driven”, and how Tamr and Trifacta work in harmony to deliver transformative data initiatives.

Episode 5, Season 2Anthony sits down with Mike Alvarez, Director of Digital Services at Fuse by Cardinal Health, to talk about data innovation in the healthcare industry. They discuss leveraging data to help patients understand their best paths to care and better stick with treatments. Using data from points of care and external entities to help providers determine the best outcome and cost for value-based care. And, they tackle a popular question, “are dashboards dead?”

Episode 5, Season 2Anthony sits down with Mike Alvarez, Director of Digital Services at Fuse by Cardinal Health, to talk about data innovation in the healthcare industry. They discuss leveraging data to help patients understand their best paths to care and better stick with treatments. Using data from points of care and external entities to help providers determine the best outcome and cost for value-based care. And, they tackle a popular question, “are dashboards dead?”

Episode 4, Season 2The author, Fail Fast, Learn Faster joins Anthony to talk about his new book, his love of literature, and how it connects to data, and shares some of his favorite stories from his career.

Episode 4, Season 2The author, Fail Fast, Learn Faster joins Anthony to talk about his new book, his love of literature, and how it connects to data, and shares some of his favorite stories from his career.

Episode 3, Season 2Anthony chats with Evren Eryurek, Director of Product Management at Google Cloud about what’s happening today with cloud migrations, and uniquely how Google is helping make the transition easy and helping to unlock the value of business data in the cloud. The two also discuss the Google and Tamr partnership, and Evren shares his advice for recent grads interested in a career in technology.

Episode 3, Season 2Anthony chats with Evren Eryurek, Director of Product Management at Google Cloud about what’s happening today with cloud migrations, and uniquely how Google is helping make the transition easy and helping to unlock the value of business data in the cloud. The two also discuss the Google and Tamr partnership, and Evren shares his advice for recent grads interested in a career in technology.

Episode 2, Season 2Gus Kaeding talks to Anthony about how the U.S. Ski & Snowboard teams are using data to improve team performance and win more medals. Gus explains where the similarities start and end with the famous “Moneyball’ approach to team selection. Why communication with coaches and athletes about data findings is just as important as the results. The challenges of starting a data program from scratch, and what’s next for the team as they approach the 2020 Winter Olympics.

Episode 2, Season 2Gus Kaeding talks to Anthony about how the U.S. Ski & Snowboard teams are using data to improve team performance and win more medals. Gus explains where the similarities start and end with the famous “Moneyball’ approach to team selection. Why communication with coaches and athletes about data findings is just as important as the results. The challenges of starting a data program from scratch, and what’s next for the team as they approach the 2020 Winter Olympics.

Episode 1, Season 2Shopify’s Ella Hilal tells us why effective data leaders need to instill an ‘always learning mindset’ and possess a willingness to reject conventional wisdom. Ella also talks about how the data organization continues to evolve at Shopify, the unique challenges of serving entrepreneurs from all over the world, and how data is being used to power growth and expansion at Shopify.

Episode 1, Season 2Shopify’s Ella Hilal tells us why effective data leaders need to instill an ‘always learning mindset’ and possess a willingness to reject conventional wisdom. Ella also talks about how the data organization continues to evolve at Shopify, the unique challenges of serving entrepreneurs from all over the world, and how data is being used to power growth and expansion at Shopify.

Episode 13, Season 1Kathleen Maley was most recently Head of Consumer and Digital Analytics at KeyBank where she led a large team of analysts who used data and analytics to shape strategies. Before that, she spent more than a decade at Bank of America in a variety of roles that helped the bank use data in areas such as risk management and pricing.Kathleen shares why she stopped using the term data driven, why aligning around a business problem is key for data and analytics teams, the role language plays in communicating with business colleagues, and what she's learned as a female analytics leader.

Episode 13, Season 1Kathleen Maley was most recently Head of Consumer and Digital Analytics at KeyBank where she led a large team of analysts who used data and analytics to shape strategies. Before that, she spent more than a decade at Bank of America in a variety of roles that helped the bank use data in areas such as risk management and pricing.Kathleen shares why she stopped using the term data driven, why aligning around a business problem is key for data and analytics teams, the role language plays in communicating with business colleagues, and what she’s learned as a female analytics leader.

Kathleen Maley was most recently Head of Consumer and Digital Analytics at KeyBank where she led a large team of analysts who used data and analytics to shape strategies. Before that, she spent more than a decade at Bank of America in a variety of roles that helped the bank use data in areas such as risk management and pricing. Kathleen shares why she stopped using the term data-driven, why aligning around a business problem is key for data and analytics teams, the role language plays in communicating with business colleagues, and what she’s learned as a female analytics leader.

Episode 12, Season 1“Andy Palmer is a serial entrepreneur who's helped found or fund more than 50 companies, including Vertica, a pioneer in the database management industry. He's currently CEO of Tamr, a data mastering platform that uses machine learning to do the heavy lifting around consolidating, cleansing, and categorizing data. Andy's also served as CIO of Infinity Pharmaceuticals, a biotech startup, and ran data and software engineering operations at the research group of pharmaceutical company Novartis.Andy's approach to data mastering involves dataops. This concept has emerged in recent years and shares traits with dev ops. He discusses what dataops is and how it helps companies with their digital transformation projects. He also talks about Tamr's upcoming DataMasters Summit and how the event will provide people with practical advice on where to start their dataops journeys.”To find more information about DataMasters Summit 2020, including the complete list of speakers, and to register to attend, please visit: http://tamr.com/summit2020.

Episode 12, Season 1“Andy Palmer is a serial entrepreneur who’s helped found or fund more than 50 companies, including Vertica, a pioneer in the database management industry. He’s currently CEO of Tamr, a data mastering platform that uses machine learning to do the heavy lifting around consolidating, cleansing, and categorizing data. Andy’s also served as CIO of Infinity Pharmaceuticals, a biotech startup, and ran data and software engineering operations at the research group of pharmaceutical company Novartis.Andy’s approach to data mastering involves dataops. This concept has emerged in recent years and shares traits with dev ops. He discusses what dataops is and how it helps companies with their digital transformation projects. He also talks about Tamr’s upcoming DataMasters Summit and how the event will provide people with practical advice on where to start their dataops journeys.”To find more information about DataMasters Summit 2020, including the complete list of speakers, and to register to attend, please visit: http://tamr.com/summit2020.

Andy Palmer is a serial entrepreneur who’s helped found or fund more than 50 companies, including Vertica, a pioneer in the database management industry. He’s currently CEO of Tamr, a data mastering platform that uses machine learning to do the heavy lifting around consolidating, cleansing, and categorizing data. Andy’s also served as CIO of Infinity Pharmaceuticals, a biotech startup, and ran data and software engineering operations at the research group of pharmaceutical company Novartis. Andy’s approach to data mastering involves dataops. This concept has emerged in recent years and shares traits with dev ops. He discusses what dataops is and how it helps companies with their digital transformation projects. He also talks about Tamr’s upcoming DataMasters Summit and how the event will provide people with practical advice on where to start their dataops journeys.

Episode 11, Season 1Stefanie Costa Leabo, Chief Data Officer for the City of Boston, talks about her non-linear career path (she considered becoming a political science professor at one point), the tangible connection between her work and what happens outside of city hall, and how sharing data helps Boston’s residents better understand what’s going on in their city.

Episode 11, Season 1Stefanie Costa Leabo, Chief Data Officer for the City of Boston, talks about her non-linear career path (she considered becoming a political science professor at one point), the tangible connection between her work and what happens outside of city hall, and how sharing data helps Boston’s residents better understand what’s going on in their city.

Stefanie Costa Leabo, Chief Data Officer for the City of Boston, talks about her non-linear career path (she considered becoming a political science professor at one point), the tangible connection between her work and what happens outside of city hall, and how sharing data helps Boston's residents better understand what's going on in their city. DataMasters is produced by PI Media for Tamr.

Episode 10, Season 1A key part of data is communicating it to others, and that’s where data visualization comes in. Nick Stepro, senior vice president of product management at Arcadia Healthcare, has made data visualization his career. He talks about how he got into data visualization, why you need empathy in design and how he manages to communicate the value of data without taking away from its meaning.

A key part of data is communicating it to others, and that’s where data visualization comes in. Nick Stepro, senior vice president of product management at Arcadia Healthcare, has made data visualization his career. He talks about how he got into data visualization, why you need empathy in design and how he manages to communicate the value of data without taking away from its meaning.

Episode 9, Season 1“Data is critical to combating COVID-19. But challenges around COVID-19 data collection and sharing prevent this information from being fully utilized by federal and state governments. That’s the perspective of Paul Balas, who was previously the Chief Advisor Advanced Analytics at mining company Newmont.Paul shares how his analytics background gives him a unique perspective on the topic of COVID-19 data collection, what’s required to better align government stakeholders and how the private sector resolved similar data collection issues.”

Data is critical to combating COVID-19. But stakeholders not being aligned around what they want to measure or what kind of outcomes are most helpful make data collecting challenging. That's the perspective of Paul Balas, who was previously the Chief Advisor. Advanced Analytics, at mining company Newmont. Paul is passionate about modeling information and is especially interested in how state and federal governments can better gather and share COVID-19 data. Paul talked to us about how his analytics background gives him a unique perspective on the topic of COVID-19 data collection, how a people problem is contributing to the situation and how the private sector resolved similar data collection issues.

Episode 8, Season 1Ido Biger, CDO at El Al Israel Airlines, shares how embedding himself in different El Al departments made him a better leader, what practices he brought to the airline from his previous jobs and what he teaches the next generation of data leaders as an adjunct lecturer.

Episode 7, Season 1Data ops has emerged as a way for organizations to better manage their data pipelines. You’ll hear more about this concept from Chris Bergh, head chef, founder and CEO of DataKitchen, a software company that aims to help data professionals regain control of their data pipelines. He’ll talk about how his experiences in the software industry lead him down the data ops path, define what data ops is and why companies should give data ops a try.

Episode 6, Season 1What’s required to master large numbers of data sources? First, avoid approaches that require writing rules. Then use machine learning and cloud computing to efficiently handle the workload. That advice comes from Mike Stonebraker, a database pioneer who helped create the INGRES relational database system, won the 2014 A.M. Turing Award, and has co-founded several data management startups, including Tamr.Mike talks about common data mastering mistakes, why traditional tools aren’t right for the task, and shares examples of companies that have successful mastered data at scale.

What's required to master large numbers of data sources? First, avoid approaches that require writing rules. Then use machine learning and cloud computing to efficiently handle the workload. That advice comes from Mike Stonebraker, a database pioneer who helped create the INGRES relational database system, won the 2014 A.M. Turing Award, and has co-founded several data management startups, including Tamr. Mike, who's an adjunct professor of computer science at MIT, talks about common data mastering mistakes, why traditional tools aren't right for the task, and shares examples of companies that have successful mastered data at scale.

As vice president of data management and operations at Thomson Reuters, Marc Alvarez applies an entrepreneurial approach to data management. During his career, he’s found that treating data less like an IT project and more like a business asset requires fundamental changes around data management. In this episode, Marc talks about what’s driving change around how companies use data, the role technologies like cloud computing and automation play in this shift and how organizations can get better business results from their data.

Success as a CDO increasingly means knowing how to use data to drive revenue. But at many organizations, data leaders are still figuring out how to work with their business counterparts. That's one takeaway from a survey of 300 C-suite executives on the topic of data and digital transformation. Conducted by NewVantage Partners since 2012, the survey includes the perspectives of leading Fortune 1000 companies including American Express, Capital One, Ford Motors, General Motors, Johnson & Johnson, Mastercard, and Met Life. In this episode, Randy Bean, founder and CEO of NewVantage Partners, talks about the survey's results and looks at the overall state of the CDO. He discusses what makes a successful CDO, where the CDO should sit in an organization and why data initiatives need to be tied to business goals.

Once responsible for data governance, companies increasingly want CDOs who use data to drive the business. Someone who not only saw that evolution but experienced it is Mark Ramsey, who held the title of CDO when the role was very new. Mark served as a data leader twice in his 30-year career. First as CDO at Samsung Mobile and then as Chief Data and Analytics Officer at GlaxoSmithKline. In this episode, Mark shares his thoughts on how the role has changed, what it’s like to be a company’s first CDO, and if a company’s reporting structure is a factor in a CDO’s success. And he’ll talk about how data is used in sports car racing, a sport he’s passionate about.

"Data" and "entertainment" don't at first appear to go together. But for Eric Iverson, former CIO of Sony Pictures and CIO and CTO at top talent agency Creative Artists Agency, the movie industry supply chain is all about data. In his interview, Eric explains data’s behind-the-scenes roles and how it shapes the movie trailers you watch and the release date of the next blockbuster.

As deputy CTO in the Obama administration, Nick oversaw the Open Data Initiative. Under this initiative, reams of government data were publicly released for use in the private sector. In this episode of Datamasters, Nick talks about the connection between government data and your favorite weather app, the technical challenges agencies faced as they cataloged and listed data sets and identified ones that could be publicly shared and how he created a data positive culture.