Gartner Research

Four Critical Steps for Successful Data Virtualization

Published: 30 September 2013

ID: G00257703

Analyst(s): Mei Selvage

Summary

DV speeds development, increases reuse and reduces data sprawl. But its pervasive myths have resulted in suboptimal implementations. This guidance provides a four-step road map to plan strategies, choose a vendor, develop and manage DV, and address people and processes.

Table Of Contents

Summary of Findings

Guidance Context

  • Problem Statement
  • Guidance Applicability

The Gartner Approach

The Guidance Framework

  • Pre-work
    • Form a Working Group
    • Assess the Current Data Integration State
    • Determine Whether and How DV Can Benefit Your Organization
  • Step 1: Plan DV Strategies
    • Create a Road Map
    • Understand and Prioritize Use Cases
  • Step 2: Choose a DV Vendor
    • Use Reference Architecture Principles to Clarify Directions
    • Prioritize Vendor Evaluation Criteria
    • Apply Best Practices for a Vendor Evaluation Process
    • Evaluate Major DV Vendors
  • Step 3: Develop and Manage DV
    • Develop DV: Analyze and Model
    • Manage DV: Monitor and Secure
  • Step 4: Address People and Process Holistically
    • Build the Four Pillars of BA
    • Engage and Empower People
    • Incorporate Changes Into Governance Fabric

Risks and Pitfalls

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