How Johnson & Johnson Translates Data into Insights
Shashi Raina & Peter Tsang
Shashi Raina - Partner Solution Architect at AWS Peter Tsang - Data & Analytics Product Line Owner at Johnson & Johnson
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