Sep 23–26, 2019
Schedule: Culture and organization sessions
9:00am–5:00pm Tuesday, September 24, 2019
Location: 1A 08











From analyzing risk and detecting fraud to predicting payments and improving customer experience, take a deep dive into the ways data technologies are transforming the financial industry.
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9:00am–5:00pm Tuesday, September 24, 2019
Location: 1A 06

















From banking to biotech, retail to government, every business sector is changing in the face of abundant data. Get better at defining business problems and applying data solutions at Strata.
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2:55pm–3:35pm Wednesday, September 25, 2019
Location: 1A 21/22

In this talk, we will cover the most common reasons why data engineering teams fail and how to correct them. This will include ways to get your management to understand that data engineering is really complex and time consuming. It is not data warehousing with new names. Management needs to understand that you can’t compare a data engineering team to the web development team, for example.
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11:20am–12:00pm Thursday, September 26, 2019
Location: 1E 10/11
Secondary topics:
Culture and Organization

Gayle Bieler explains how she built a thriving center for data science within a large, well-respected nonprofit research institute and shares some of its most impactful projects and best adventures to date, that have solved important national problems, improved local communities, and transformed research.
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1:15pm–1:55pm Thursday, September 26, 2019
Location: 1E 12/13
Secondary topics:
Culture and Organization
If you've ever been confused about what it takes to be a data scientist or curious about how companies recruit, train, and manage analytics resources, Usama Fayyad and Hamit Hamutcu are here to explore insights from the most comprehensive research effort to date on the data analytics profession and propose a framework for the standardization of roles and methods for assessing skills.
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3:45pm–4:25pm Thursday, September 26, 2019
Location: 1E 10/11
Secondary topics:
Culture and Organization,
Transportation and Logistics
Jonathan Tudor and Ross Schalmo explore how GE Aviation made it a mission to implement self-service data. To ensure success beyond initial implementation of tools, the data engineering and analytics teams created initiatives to foster engagement from an ongoing partnership with each part of the business to the gamification of tagging data in a data catalog to forming a published dataset council.
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Content Sponsor
Impact Sponsors
Supporting Sponsor
Non Profit
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