Gartner Research

China Summary Translation: 'Four Steps to Improve Data and Analytics Capabilities When Business Intelligence Maturity Is Low'

Published: 09 August 2019

ID: G00383075

Analyst(s): Melody Chien

Summary

Organizations with low levels of analytics and BI maturity often struggle to tap the value of their data assets. Data and analytics leaders can evolve their organizations’ capabilities for greater business impact by taking simple steps in the areas of strategy, people, governance and technology.

Table Of Contents

主要挑战

建议

Four Steps to Improve Data and Analytics Capabilities When Business Intelligence Maturity Is Low

  • Key Challenges
  • Recommendations

Introduction

Analysis

  • Strategy: Develop Holistic Data and Analytics Strategies With a Clear Vision
    • A Good Data and Analytics Strategy Starts With Vision and Values
    • Involve Business Stakeholders in Analytics Decision Making
    • Create a Data and Analytics Roadmap With Achievable Goals, Clear Milestones, Performance Measurements and Monitoring
    • Start With a Small Project With Simple or Well-Defined Business Processes for a Quick Win
  • People: Create a Flexible Organizational Structure, Exploit Analytics Resources and Implement Ongoing Analytics Training
    • Leverage Business Users’ Specific Knowledge as an Extension of BI Analytics Capabilities
    • Implement a Mixed Portfolio of Analytics Training Programs for the Analytics Team and Business Users
  • Governance: The Least Amount of Data Makes the Maximum Impact
    • First — Find Out What Data Asset You Already Have
    • Second — Identify Critical Data That Is Commonly Shared Within the Enterprise, but Is Problematic
    • Empower Self-Service Analytics With Flexible Processes
    • Treat Governance as Influence and Agreement, Not Restriction
  • Technology: Create Integrated Analytics Platforms That Can Support a Broad Range of Use Cases
    • Choose Packaged Analytics Applications That Best Fit Requirements and Company Culture for a Quick Start

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