Gartner Research

Five Ways to Evolve Traditional Approaches to Data and Analytics — Gartner Keynote Insights

Published: 22 June 2016

ID: G00297905

Analyst(s): Frank Buytendijk , Jim Hare , Kurt Schlegel , Alan D. Duncan , Mark Beyer , Neil Chandler , Ted Friedman , Rita Sallam


Digital business dynamics are changing the complete field of data and analytics. CIOs, CDOs, and other data and analytics leaders must evolve traditional approaches to focus on business outcomes, go with the market trends, benefit from algorithmic business, adopt new technologies and build trust.

Table Of Contents


  • Introduction
  • Link New and Existing Data and Analytics Initiatives to Quantifiable Business Outcomes
  • Embrace the Anarchy of Applications Around Data and Analytics Technology, as It Helps Data and Analytics Become More Strategic Across the Business, and Beyond
  • Take a Systematic Approach to the Growing Use of Algorithms to Identify and Protect These Assets, Improve Their Quality, and Explore Potential New Use Cases for Them
  • Build an Information Infrastructure Based on Reusable Capabilities, Services and Distributed Data
  • Recognize the Importance of Data Trust and Information Security

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