How Johnson & Johnson Translates Data into Insights

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 cloud-native, machine-learning-based approach to data mastering to obtain a global view of its consumer products and improve sales strategies. Also learn how deploying Tamr on AWS instead of on-premise allows companies to leverage the platform’s scalability.

In this webinar, you'll learn to:

• 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