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Introduction

Governments face unique challenges in managing their data, and overcoming these challenges requires unique approaches to master data management.

Highlights

  • Governments' data challenges are unique.
  • MDM is a tool, not a solution.
  • Government MDM must account for complexity.

Features and Benefits

  • Highlights why public sector organizations require specialized approaches to MDM.
  • Identifies what vendors must do to ensure successful deployments in complex public sector organizations.

Key questions answered

  • What are the challenges facing governments trying to improve the quality of their data?
  • How should data management be approached in the public sector?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for the public sector
  • Recommendations for vendors

Governments' data challenges are unique

  • Governments are not businesses, citizens are not customers
  • The "single view of the citizen" is not always a realistic goal

MDM is a tool, not a solution

  • Agency-wide MDM requires coordinated tiers of responsibility
  • Data should have a purpose and you should know what that is

Government MDM must account for complexity

  • Machine learning can help tailor MDM to complex needs
  • MDM tools need to be open, interoperable, and secure

Appendix

  • Further reading
  • Author

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