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The Last Mile: Operationalizing Data Science

April 28, 2017

Everyone knows that data science holds enormous potential value for enterprises. Unfortunately, for most enterprises, the potential value of data science is just that - potential.

The reality is that data-driven insights have shelf lives. Their value diminishes the longer it takes to act on them. It is the inability to act on data-driven insights quickly enough to impact business outcomes, we believe, that is holding back enterprises from realizing the full value of their data science investments. Put another way, enterprises are struggling to operationalize data science at scale.

Without the ability to operationalize data science and machine learning, your organization may become smarter, but it won’t become better. The insights in this white paper will help your organization create a self-sustaining data science practice that industrializes the process of getting the right insights to the right people at the right time, every time. Learn more about:

  • The value of data science
  • Why data science efforts often fall short
  • How to operationalize data science
  • The technologies, tools and architecture to get started

About the Authors

Dormain Drewitz is Director of Product Marketing for Pivotal. Prior to Pivotal, she was Director of Platform Marketing at Riverbed Technology. Prior to Riverbed, she spent over 5 years as a technology investment analyst, closely following enterprise infrastructure software companies and industry trends. Dormain holds a B. A. in History from the University of California at Los Angeles.

Jeff Kelly is a Principal Product Marketing Manager at Pivotal. He spends his time learning and writing about how leading enterprises are tapping the cloud, data and modern application development to transform themselves in the digital era. Prior to joining Pivotal, Jeff was the lead industry analyst covering Big Data analytics at Wikibon, an open source research and advisory firm. Before that, Jeff covered data warehousing, business analytics and other IT markets 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.

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