Gartner Research

How to Enable Self-Service Analytics

Published: 09 September 2019

ID: G00402120

Analyst(s): Carlie Idoine

Summary

There is a heightened interest in self-service analytics driven by augmented analytics and roles such as the citizen data scientist. Implementation best practices demonstrate that, for data and analytics leaders, enabling self-service involves far more than the provision of easy-to-use tools.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Focus Self-Service Analytics and BI Initiatives on Business Outcomes by Aligning Them With Prioritized Organizational Goals and Capturing Anecdotes About Measurable Benefits and Successes
    • Business Problem
    • Approach
    • Recommendations
  • Foster Trust Between IT and Business Users by Involving Business Staff Throughout the Process of Designing, Developing and Supporting Self-Service
    • Business Problem
    • Approach
    • Recommendations
  • Support Business Users’ Data and Analytics Innovations and Productivity by Taking a Flexible, Light Approach to Data and Analytics Governance
    • Business Problem
    • Approach
    • Recommendations
  • Equip Business Users for Self-Service Success by Developing a Holistic Engagement Plan Including Augmented Analytics
    • Business Problem
    • Approach
    • Recommendations

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