The Indirect Path to Data Monetization (Ep. 7)

November 1, 2016 Jeff Kelly

It’s a question just about every enterprise asks itself: How can we monetize our data? On the surface, the question makes sense. It’s cheaper than ever today to store data thanks to Apache Hadoop and cloud storage, so many enterprises are sitting on huge volumes of customer, product, market and other data. It’s only logical to think about turning all that data into new revenue, right? Not quite, says Dormain Drewitz.

Starting with your data and trying to find the money is, Drewitz argues, labor-intensive, inefficient and—most importantly—rarely successful. In this episode of Pivotal Insights, Drewitz, head of product marketing for Pivotal data, and host Jeff Kelly chat about these contrasting approaches to data and analytics, and share some best practices for getting the most value from data.

Visit http://pivotal.io/podcasts for show notes and other episodes.

Show Notes

About the Author

Jeff Kelly

Jeff Kelly is a Director of Partner Marketing at Pivotal Software. Prior to joining Pivotal, Jeff was the lead industry analyst covering Big Data analytics at Wikibon. Before that, Jeff covered enterprise software as a reporter and editor at TechTarget. He received his B.A. in American studies from Providence College and his M.A. in journalism from Northeastern University.

Follow on Google Plus Follow on Twitter Follow on Linkedin More Content by Jeff Kelly
Previous
Inter-Service Communication, Consumer-Driven Contract Testing, and Service Versioning (Ep. 39)
Inter-Service Communication, Consumer-Driven Contract Testing, and Service Versioning (Ep. 39)

Distributed systems are hard. Building a microservices architecture that supports evolutionary changes wit...

Next
Live to Tape from DellEMCWorld (Ep. 38)
Live to Tape from DellEMCWorld (Ep. 38)

In this episode, Coté and Richard talk about DellEMCWorld 2016. They discuss what it’s like for Pivotal t...

Subscribe to That Moment

Listen Now