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New Research: Use Bimodal Enterprise Information Management to Succeed With Innovative Data and Analytics Programs

by Andrew White  |  June 20, 2016  |  1 Comment

My colleague, Nick Heudecker, just published this note: Use Bimodal Enterprise Information Management to Succeed With Innovative Data and Analytics Programs.

Predictability and uncertainty are the core drivers of bimodal data and analytics efforts. Each driver requires a distinct but related approach to program management. Chief data officers and stakeholders must understand how to react to the different approaches and how they vary as conditions change.

Enjoy!

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Category: bimodal  enterprise-information-management-eim  gartner-research  

Andrew White
Research VP
8 years at Gartner
22 years IT industry

Andrew White is a Distinguished Analyst and VP. His roles include Chief of Research and Content Lead for Data and Analytics. His main research focus is data and analytics strategy, platforms, and governance. Read Full Bio


Thoughts on New Research: Use Bimodal Enterprise Information Management to Succeed With Innovative Data and Analytics Programs


  1. […] My colleague, Nick Heudecker, just published this note: Use Bimodal Enterprise Information Management to Succeed With Innovative Data and Analytics Programs.Predictability and uncertainty are the core drivers of bimodal data…  […]



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