Case Study
Defining the Data Governance Principles
Problem
- How should we improve our data governance and operating model?
- Which roles and responsibilities are needed for data?
- How do we achieve the FAIR principles for data?
- Define how to take data policies into use (e.g., GDPR, data standards, auditability, controls).
Approach
- Create sustainable data governance processes.
- Define data roles, organization and team structures.
- Define data use case demand and delivery processes.
- Translate FAIR data principles into actions and define implementation plan.
- Identify, validate and take key data policies into use.
Results
- Data governance and operating model for data and analytics.
- Data talent, organization structure, RACI defined
- Data catalogued for most important data sources, data attributes (incl. definitions).
- Conceptual data architecture.
- Concept for (internal) data marketplace to access FAIR data.
- Critical data policies identified, defined, and audited.
Business Value
Data Governance & Organisation Structure
Industry
Client
Forest industry company
Our client is a forest industry company operating on global markets. They produce a wide range of renewable products such as timber, paper and biochemicals for construction, packaging and more.
DAIN has helped define and implement data governance practices and related roles and responsibilities.