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New Research: Create an Effective Information Risk Framework for Data and Analytics Programs

by Andrew White  |  June 10, 2016  |  1 Comment

My colleague Saul Judah just published this note: Create an Effective Information Risk Framework for Data and Analytics Programs.

Few CIOs and chief data/analytics officers are adequately addressing information risk in their broader EIM or specific data and analytics programs. Implementing an information risk framework will help protect enterprise investment, sustain business value and reduce the threat of reputational damage.

Enjoy.

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Category: data-and-analytics  gartner-research  risk-management  

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: Create an Effective Information Risk Framework for Data and Analytics Programs


  1. […] My colleague Saul Judah just published this note: Create an Effective Information Risk Framework for Data and Analytics Programs. Few CIOs and chief data/analytics officers are adequately addressing information risk in their broader EIM or specific data and analytics programs. Implementing an information risk framework will help protect enterprise investment, sustain business value and reduce the …  […]



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