Gartner Research

China Summary Translation: 'Gartner Analytics Evolution Framework'

Published: 22 January 2018

ID: G00346231

Analyst(s): Joao Tapadinhas, Melody Chien

Summary

Analytics and BI strategies and platforms are often only loosely connected to business goals, and thus fail to meet user expectations. Data and analytics leaders should use a business-outcome-driven analytics framework to design a high business impact evolution roadmap for their architecture.

Table Of Contents

主要观点

建议

Gartner Analytics Evolution Framework

  • Key Findings
  • Recommendations

Analysis

  • Understand How to Move Beyond Technology to Business Impact
  • Requirements for a Business-Outcome-Driven Analytics Roadmap
    • Understand the Analytics Block
    • Use an Analytics Reference Architecture to Select and Support Analytics Blocks
    • Use Blocks Affinity to Expand Functionality
    • Aggregate Analytics Blocks Into Clusters to Increase the Scope and Impact
    • Build Analytics Hubs With Business Context to Deliver Business Outcomes
  • Design the Evolution Roadmap for a Business-Outcome-Driven Architecture
    • List and Prioritize Target Business Outcomes
    • Define the Outcomes-Related Business Context
    • Select the Analytics Blocks
    • Assess Readiness
    • Review Business Outcomes Priorities
    • Design the Analytics Clusters
    • Finalize Analytics Hubs Definitions
    • Design the Evolution Roadmap and Establish Timelines

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