Gartner: 5 Pitfalls to Avoid When Designing an Effective Data and Analytics Organization
Organizations are investing trillions of dollars to become more data-driven, but only 8% successfully scale analytics to get value out of their data.
According to Gartner, “Data and analytics leaders, including CDOs, are entrusted to exploit data and analytics as a strategic discipline for the enterprise. The business value is often being measured by business efficiency, better business effectiveness or innovation to drive change and digital transformation.”
“To deliver value from their data and analytics initiatives, leaders need to build effective organizational capability.”
This Gartner research helps leaders understand the main design challenges of an effective data and analytics organizational model and provide practical steps leaders can take to overcome them.
Gartner, 5 Pitfalls to Avoid When Designing an Effective Data and Analytics Organization, 1 May 2020
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Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner Magic Quadrant for Analytics and Business Intelligence Platforms, February 11 2020, James Richardson, Rita Sallam, Kurt Schlegel, Austin Kronz, Julian Sun. This report was named Magic Quadrant for Business Intelligence and Analytics Platforms (2013-2017), Magic Quadrant for Analytics and Business Intelligence Platforms (2018-2019). Appeared as Tableau Software in the Magic Quadrant for Business Intelligence and Analytics Platforms, 2013.