Webinar
on-demand
anytimeUnlocking 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:
Submit the form to watch the webinar.
In this webinar, you'll learn:
Submit the form to watch the webinar and learn how to unlock analytics-ready data at scale with a modern cloud infrastructure.
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.
.jpeg)
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.