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The data struggle is real. Companies are awash in data that can lead to better engineered products, improved customer engagement, and faster drug development. But first they have to overcome...
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The data struggle is real. Companies are awash in data that can lead to better engineered products, improved customer engagement, and faster drug development. But first they have to overcome the daunting technical and cultural challenges of mastering it. Fortunately, other data and IT leaders have dealt with these same issues. They’ll share their advice and stories on the DataMasters podcast.
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DataMasters
DataMasters
[DataMasters] It's about solving a business problem, not the data
14 OCT 2020 · 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.
[DataMasters] Dataops and the state of digital transformation
23 SEP 2020 · 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.
[DataMasters] Data and the City
9 SEP 2020 · 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.
[DataMasters] The role empathy plays in data visualization
26 AUG 2020 · 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.
[DataMasters] The challenges of collecting and sharing COVID-19 data
12 AUG 2020 · 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.
[DataMasters] An Introduction to Dataops
15 JUL 2020
[DataMasters] Getting Data Mastering at Scale Right
1 JUL 2020 · 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.
[DataMasters] The Entrepreneurial Approach to Data Management
17 JUN 2020 · 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.
[DataMasters] The State of the CDO
3 JUN 2020 · 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.
The data struggle is real. Companies are awash in data that can lead to better engineered products, improved customer engagement, and faster drug development. But first they have to overcome...
show more
The data struggle is real. Companies are awash in data that can lead to better engineered products, improved customer engagement, and faster drug development. But first they have to overcome the daunting technical and cultural challenges of mastering it. Fortunately, other data and IT leaders have dealt with these same issues. They’ll share their advice and stories on the DataMasters podcast.
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show less
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| Organization | PodIl |
| Categories | Technology |
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