Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA

Schedule: Business Analytics and Visualization sessions

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9:00am–5:00pm Tuesday, March 26, 2019
Data Case Studies
Location: 2022
Alex Kudriashova (Astro Digital), Jonathan Francis (Starbucks), JoLynn Lavin (General Mills), Robin Way (Corios), June Andrews (GE), Kyungtaak Noh (SK Telecom), Taposh DuttaRoy (Kaiser Permanente), Sabrina Dahlgren (Kaiser Permanente), Craig Rowley (Columbia Sportswear), Ambal Balakrishnan (IBM), Benjamin Glicksberg (UCSF), Patrick Lucey (Stats Perform), Rhonda Textor (True Fit)
Hear practical insights from household brands and global companies: the challenges they tackled, approaches they took, and the benefits—and drawbacks—of their solutions. Read more.
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4:20pm–5:00pm Wednesday, March 27, 2019
Apache Superset: An open source data visualization platform
Location: 2018
Secondary topics:  Visualization, Design, and UX
Maxime Beauchemin (Lyft)
Average rating: ****.
(4.50, 4 ratings)
Maxime Beauchemin offers an overview of Apache Superset, discussing the project's open source development dynamics, security, architecture, and underlying technologies as well as the key items on its roadmap. Read more.
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3:50pm–4:30pm Thursday, March 28, 2019
The Paradise Papers and West Africa Leaks: Behind the scenes with the ICIJ
Location: 2018
Secondary topics:  Graph technologies and analytics, Media, Marketing, Advertising, Storage, Text and Language processing and analysis
Pierre Romera (International Consortium of Investigative Journalists (ICIJ))
Average rating: ****.
(4.67, 6 ratings)
The ICIJ was the team behind the Panama Papers and Paradise Papers. Pierre Romera offers a behind-the-scenes look into the ICIJ's process and explores the challenges in handling 1.4 TB of data (in many different formats)—and making it available securely to journalists all over the world. Read more.
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3:50pm–4:30pm Thursday, March 28, 2019
How Walgreens transformed supply chain management with Kyvos, Tableau, and big data
Location: 2007
Neerav Jain (Walgreens), Anne Cruz (Walgreens), Vikas Hardia (Kyvos )
Average rating: **...
(2.75, 4 ratings)
Walgreens recently faced the challenge of analyzing 466 billion rows of data from 20,000 suppliers and 9,000 stores, which strained its existing systems when dealing with the scale and cardinality of data. Neerav Jain, Vikas Hardia, and Anne Cruz describe how they used Kyvos and Tableau to transform Walgreens's supply chain with instant, interactive analysis on two-year data. Read more.