Gartner Research

2016 Planning Guide for Data Management and Analytics

Published: 02 October 2015

ID: G00290775

Analyst(s): Carlie Idoine


In 2016, the IoT and the demands of the digital enterprise will require data management and business analytic professionals to take specific action to enhance their data and analytics architecture, environment and approach to put data at the heart of the organization.

Table Of Contents

Data Management and Analytics Trends

  • LDWs Will Become the Heart of the Modern Data Management Architecture
    • Planning Considerations
  • Advanced Analytics Will Lead to Business Innovation and Efficiency
    • Planning Considerations
  • Business Demands for Self-Service Data Access and Analytics Will Increase
    • Planning Considerations

Setting Priorities

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