How to Industrialize Data Science to Attain Mastery of Repeatable Intelligence Delivery

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4+ y ago 30:45

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Businesses these days are quick to declare their intention to become data-driven, yet the deployment of analytics and the use of data science remains spotty, isolated, and often uncoordinated.

To fully reach their digital business transformation potential, businesses large and small need to make data science more of a repeatable assembly line -- an industrialization, if you will -- of end-to-end data exploitation.

The next BriefingsDirect Voice of Analytics Innovation discussion explores the latest methods, tools, and thinking around making data science an integral core function that both responds to business needs and scales to improve every aspect of productivity.

Subscribe to the podcast on iTunes. Read a full transcript or download a copy.

To learn more about the ways that data and analytics behave more like a factory -- and less like an Ivory Tower -- please welcome Doug Cackett, EMEA Field Chief Technology Officer at Hewlett Packard Enterprise. The discussion is moderated by Dana Gardner, Principal Analyst at Interarbor Solutions.

Subscribe to the podcast on iTunes. Read a full transcript or download a copy. Sponsor: Hewlett Packard Enterprise.

101 episodes