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Data, Artificial Intelligence & Analytics

Data governance & quality

Understand the challenges of data governance. An intermediate-level course, 2 days (14h).

Learning objectives

  • Understand the challenges of data governance.
  • Structure a data-quality approach.
  • Define roles and responsibilities (data owner, data steward).
  • Implement data-quality tools and indicators.

Programme

  • Data governance principles and framework.
  • Data quality: dimensions and measurement.
  • Roles: data owner, data steward, data governance committee.
  • Master Data Management (MDM) and data catalogues.
  • Tools and automation of quality controls.
  • Governance roadmap and change management.

Who it's for

Data managers, IT managers, business referents.

Prerequisites

General understanding of information systems.

Format

Case studies and governance-framework workshop.

Data, Artificial Intelligence & Analytics

Other courses in this track

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Interested in this course?

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