Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

How visual analytics drove data asset success at Procter & Gamble (sponsored by Arcadia Data)

Michelle Tower (Procter & Gamble)
2:05pm2:45pm Wednesday, September 27, 2017
Location: 1A 01/02
Average rating: ****.
(4.00, 1 rating)

What you'll learn

  • Learn how P&G is using big data to find the business insights to optimize data models for analytics and data visualization


Multinational product companies in industries like consumer packaged goods (CPG) and manufacturing face the same big data challenges as any other company. The significant opportunity to maintain and increase competitive advantage through data necessitates getting data-driven initiatives underway as soon as possible. However, the early stages of delivering on your data strategies can seem daunting. With so many claims of failed data lakes or “data swamps,” the journey seems risky, which is why you need help from industry experts to get started. One key lesson is to just get started and learn along the way rather than expect to be great from the very start. From there, incorporating the right expertise and the right technologies can help turn a stalled data project into a valuable business asset.

Michelle Tower explains how P&G is using big data to find the business insights to optimize data models for analytics and data visualization. With all the data associated with its extensive product portfolio, P&G needed a self-service way for business analysts to drill down into product details in the data asset. But as many other companies have learned, putting big data in a central location is not the final answer to your questions. Join Michelle to learn how P&G got the right technologies that helped draw important insights from its data to deliver the value the company needs to stay competitive.

This session is sponsored by Arcadia Data.

Photo of Michelle Tower

Michelle Tower

Procter & Gamble

Michelle Tower is the associate director of business intelligence and analytics at Procter & Gamble (P&G), where she leads a global team and a range of BI service verticals covering e-business analytics, corporate performance insights, and the big data and advanced analytics platform as a service. Previously, Michelle was the associate director of customer business intelligence at P&G, where she fully leveraged retail customer data streams and internal data streams for advanced intelligence and business insights. She also held management positions at P&G in Latin America supply chain systems and in IT technologies services. Michelle began her career at P&G as a supply chain leader. She holds a bachelor’s degree in business administration and management information systems from Bowling Green State University.