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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