The Data Science Unicorn and the Balanced Team (Ep. 11)

December 6, 2016 Jeff Kelly


The balanced team is an interdisciplinary approach to software development that brings together product management, design and engineering in a single team all focused on the end-result: great software that meets or exceeds customer requirements. Each member brings his or her particular strengths, talents and responsibilities to the team, but the idea is that the team works together in an iterative, agile way to build great software.

One persona or role that has been conspicuously left out of the balanced team approach, however, is the data scientist. That’s a mistake, argues Ian Huston, a data scientists at Pivotal, that enterprises make particularly as they attempt to differentiate themselves through the use of machine learning and analytics. By incorporating the data scientist into the balanced team approach, enterprises are better positioned to successfully develop software that uses data and insights to personalize the customer experience and intelligently automates business processes.

In this episode of Pivotal Insights, host Jeff Kelly and Huston talk about the potential benefits of bringing data scientists into the balanced team, best practices for doing so, and put the myth of the Data Science Unicorn to rest.

Show Notes

News and Resources

About the Author

Jeff Kelly

Jeff Kelly is a Principal Product Marketing Manager at Pivotal Software. He spends his time learning and writing about how leading enterprises are tapping the cloud, data and modern application development to transform how the world builds software. 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 topics 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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