Gartner Research

Building a Comprehensive Data Governance Program

Published: 27 August 2019

ID: G00377901

Analyst(s): Sanjeev Mohan

Summary

Data governance has become more challenging as data straddles edge, on-premises and multiple cloud environments. Also, new regulations are driving demand for effective data governance. This research provides a framework for data and analytics technical professionals to implement data governance.

Table Of Contents

Problem Statement

The Gartner Approach

The Guidance Framework

  • Prework
  • Step 1: Data Discovery and Policy Setting
    • Part 1: Identify Data Sources
    • Part 2: Profile Data
    • Part 3: Create Policies
    • Part 4: Onboard Data
    • Part 5: Apply Policies
  • Step 2: Transform the Data
    • Data Modeling
  • Step 3: Curate and Remediate Enterprise Data
    • Part 1: Curate Data (Data Catalog)
    • Part 2: Remediate Data Quality
    • Part 3: Search Metadata
    • Part 4: Workflow
  • Step 4: Master Data Management
  • Step 5: Harmonize Departmental Data
    • Part 1: Prepare Data
    • Part 2: Analytics
    • Part 3: Train Models
  • Step 6: Operationalize Data Governance
    • Part 1: Operationalize Analytical Reports and Models
    • Part 2: Lineage, Audit and Impact Analysis
    • Part 3: Check for Drift
  • Follow-Up

Risks and Pitfalls

  • How to Mitigate the Risks
  • Related Guidance

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