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New Research: Data Consistency Flaws Can Destroy the Value of Your Data

by Andrew White  |  February 24, 2017  |  Comments Off on New Research: Data Consistency Flaws Can Destroy the Value of Your Data

Rick Greenwald and Merv Adian just published Data Consistency Flaws Can Destroy the Value of Your Data.

Data consistency is critical when selecting a DBMS for some use cases, and the lack of guaranteed consistency can result in a loss of both data integrity and overall business value. Data and analytic leaders must use an appropriate level of data consistency to protect the business value of data.

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Category: data-consistency  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




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