HOPEX Data Governance
Accelerate data compliance implementation, data quality assessment and remediation campaigns.
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Course Description

This course focuses on using HOPEX Data Governance for Chief Data Officers, and Data Office teams (platform, community, dashboards).

It teaches how to set-up data discovery with ready-to use connectors, to retrieve metadata snapshots for the purpose of automatically initializing your Data Catalog and Business Glossary to enrich them. Data Analysts can then work on accelerated data compliance implementation, data quality assessment and remediation campaigns.

Expected Benefits

  • Use a shared business platform to federate your data community
  • Automatically discover and document any metadata to create a Data Catalog
  • Create a shared business language for the whole company with a Business Glossary
  • Accelerate data compliance and assess data quality using Data Compliance

How the course is organized

The course alternates theoretical and exercise modules. Theory covers the challenges driving organizations to capture and govern the data for operational and compliance purposes, along with definitions of HOPEX objects and functionalities. Practical exercises based around a real-life scenario allow participants to apply the theory learned on a relatable case.

How to participate

Course Content


  • Introduction to Data Intelligence
  • HOPEX Data Governance Demonstration
  • Introduction to our exercise Use Case

Data Catalog Management

  • Manage Data Catalogs with HOPEX
  • Discover metadata of data sources
  • Define a Business Glossary
  • Classify and facilitate search of metadata
  • Structure Business Glossary

Data Compliance

  • Import Regulatory Frameworks
  • Define Data Catalog’s regulatory scope & status
  • Identify constrained data assets
  • Define Data Controls implementing mandated directives
  • Capture Business Data Lineage

Data Quality

  • Define Data Quality policies
  • Assess Data Quality
  • Capture a Metadata snapshot
  • Build a corrective Action Plan
  • Analyze & Prioritize Data Quality improvement efforts
Program Summary
Available for
HOPEX Aquila
Trainer led
2 days
Self-paced e-learning
10 hours
Get Certified
Chief Data Officers
Data Analysts
Data Architects