Automobile manufacturer

Data Governance Concept

Starting point

  • A company-wide data lake based on Hortonworks Hadoop has already been implemented together
  • The data lake is fed from different systems worldwide.
  • Requirements for data governance vary depending on business areas and countries.
  • Efficient use of the data lake requires a company-wide, international data governance concept.

Procedure

  • Iterative project approach
  • Workshops on business requirements from all departments, including Legal
  • Stakeholder management to build consensus on the data landscapes
  • Definition of requirements for company-wide metadata management

Features/Project outcome

 
  • Creation of the Data Governance concept
  • Definition of data supply processes and data categories, including product, customer, contract, and country-specific data, as well as their criticality
  • Description of metadata and handling of different data categories
  • Creation of the roles and access rights concept, along with the description of organisational processes

Customer benefits

  • Comprehensive Data Governance concept for organizing processes, data categories, roles, and access rights within the company
  • Security in handling data for business departments and the legal department
  • Company-wide integration of the data lake into the organizational structure creates transparency
Matthias Gimbel, Manager
Dr. Matthias Gimbel | Manager