Gartner Research

Make Data Migration Boring: 10 Steps to Ensure On-Time, High-Quality Delivery

Published: 13 December 2019

ID: G00448218

Analyst(s): Ted Friedman

Summary

Data migrations are complex, risky and expensive — and often disrupted by unexpected challenges. To avoid surprises, deliver on time and ensure quality, data and analytics leaders can improve planning, proactively address data quality and rely on structured, technology-enabled execution.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Plan Thoroughly
    • 1. Make Data a Primary Workstream
    • 2. Minimize the Data Migration’s Scope
    • 3. Evaluate a Phased Migration Approach
    • 4. Build a Team With the Right Mix of Skills
  • Establish a Foundation for Sustainable Data and Analytics Governance
    • 5. Focus Early and Deeply on Data Quality
    • 6. Formalize Data and Analytics Governance Roles, Policies and Processes
    • 7. Define and Track Metrics
  • Execute Effectively With the Right Tools and Rigorous Testing
    • 8. Gather and Use Available Metadata
    • 9. Use the Right Tools for the Job
    • 10. Make Testing a Critical-Path Activity

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