Data Governance
Vocational training in Data Governance for professionals with at least one year's working life experience of handling data for analytical, productive and/or administrative purposes. The course has two parts:
- Data Governance - Fundamentals
Part one focuses on the fundamental principles and concepts of Data Governance, including:
- Definitions, objectives and value of Data Governance.
- Data Ownership, roles and responsibilities.
- Methods for data quality and reliability.
- Data classification based on relevant factors
- Compliance with rules and regulations for data security and integrity
- Data Governance - Implementations
Part two focuses on the practical implementation of Data Governance, including:
- Creation and implementation of an administrative framework that defines processes, roles and responsibilities for Data Governance
- Establishment of distinct areas of data ownership and data responsibilities
- Strategies and tools for monitoring and improving data quality
- Implementation of guidelines and processes for data protection and compliance
- Handling of data life cycles, from collection to storing and disposal
- Legal and ethical aspects of Data Governance, including laws, rules and ethical guidelines with relevance for data management and protection
- Technical tools and solutions
- Communicative strategies and methods of change management for the successful implementation and maintenance of Data Governance
Intermediate
Business Developer, Communications, Data Engineer, Data Scientist
Data
Authority & Agency, Automotive, Civil Society, Education, Energy, Financial, Food & Farming, Forestry & Wood
Accounting & Finance, Innovation, Legal & Compliance, Management & Leadership, Marketing & Communications, Operations, Production, Research & Development, Sales
Creation, Prediction
Clustering
Sensor Data, Structured Data, Textual Data, Time series, Unstructured Data