Gartner Research

Solution Path: Implementing Big Data for Analytics

Published: 11 April 2016

ID: G00294453

Analyst(s): Svetlana Sicular


Increasingly, enterprises are looking to derive value from data. To help information management and analytics professionals enable a data-driven enterprise, this Solution Path provides a sequence of steps to implementing big data for analytics.

Table Of Contents

Problem Statement

Solution Path Diagram

What You Need to Know

Solution Path

  • Stage 0 — Awareness: Determine What BDA Means for Your Organization
  • Stage 1 — Planning: Select and Prioritize BDA Use Cases
    • Identify BDA Use Cases
    • Develop the Initial BDA Strategy
  • Stage 2 — Experimentation: Justify Your BDA Initiative
    • Prove the Business Value of the Use Cases
    • Define the Initial BDA Architecture
    • Select Tools to Build Your BDA Solution
    • Establish a BDA Innovation Team
  • Stage 3 — Stabilization: Stabilize Infrastructure to Access and Analyze the Data
    • Implement the Initial BDA Architecture
    • Operationalize Business-Extending Use Cases
    • Address the Major Infrastructure Concerns
    • Evolve or Start Information Governance
  • Stage 4 — Expansion: Build the Logical Data Warehouse
    • Implement a Variety of BDA Architecture Patterns
    • Operationalize Game-Changing Use Cases
    • Exploit Additional BDA Technologies
    • Harness Data Integration
  • Stage 5 — Transformation: Enable a Data-Driven Enterprise
    • Cultivate a Comprehensive and Adaptive BDA Environment
    • Build Data Products
    • Expand Your Data Governance to Analytics Governance
  • Summary of References

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