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How Johnson & Johnson Translates Data into Insights

Unlocking analytics-ready data at scale

For 130 years, Johnson & Johnson (J&J) has maintained a tradition of quality and innovation. To continue this mission, the company’s consumer packaged goods division needed to master their data at enterprise scale. This required integrating an enormous volume of data from a variety of multi-format sources to develop 360-degree views of consumer products.

Discover how J&J uses Tamr’s machine learning-based approach to data mastering to obtain a global view of its consumer products and improve sales strategies

In this webinar, you'll learn how J&J:

  • Boosted sales by gaining improved visibility into internal product data and external market data
  • Used machine learning to master data at an enterprise scale
  • Obtained analytical insights to drive business value

Submit the form to watch the webinar.

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In this webinar, you'll learn:

  • Boost sales by gaining improved visibility into internal product data and external market data
  • Use machine learning to master data at an enterprise scale
  • Boost DataOps efficiency by taking advantage of cloud-native capabilities
  • Achieve faster business analytics via cloud-based vs. manual data mastering processes

Submit the form to watch the webinar and learn how to unlock analytics-ready data at scale with a modern cloud infrastructure.

About the Speaker

Shashi Raina Partner Solution Architect at AWS

Shashi Raina
Partner Solution Architect at AWS

Shashi Raina is a partner solution architect at Amazon Web Services. He helps organizations leverage the AWS platform and machine learning to better manage their data. Prior to joining Amazon Web Services, Shashi held cloud engineering leadership roles at Toys R Us, Knowledgent and Equinix.

Peter Tsang Data & Analytics Product Line Owner at Johnson & Johnson

Peter Tsang
Data & Analytics Product Line Owner at Johnson & Johnson

Peter Tsang is a data & analytics product line owner at Johnson & Johnson. He leads manages Johnson & Johnson's data & analytics application development across the Consumer sector. Prior to joining Johnson & Johnson, Peter held 20 years of IT leadership roles at Colgate-Palmolive.