Data
Data Governance
Duration
1 Day
Languages
French - English
Trainer(s)
Tarik RIDA - Lead Data Architect Astrakhan
The reuse of data in business contexts (finance, compliance, risk…) other than those of its initial production (operational systems, analytics…) supports the strategy and objectives (business, risk, management) of the company. Therefore, it requires data policies and supervision of data compliance. This field is called “Data Governance”.
Data Governance defines policies and procedures to ensure proactive and efficient data management as well as a collaborative framework to align various data reuse-dependent initiatives with business objectives.
Target audience
- CDO/CRO
- IT Managers
- Architects
- Data Stewards
- Data Scientists/Analysts
Prerequisites
- Data Quality, Data Architecture, Analytics
Course Delivery
On site,
in your offices
Remote,
via Teams
Virtually,
via Hololens
Workshops
Training Program
Introduction: estimate the maturity of the company regarding data
Definition
- Data Quality
- Data Governance
- Data Policy
Why Data Governance
- Ensure data reuse
Context and challenges
- Growth in data sources and volumes
- Competitiveness
- Regulatory compliance
- Innovation
Value Drivers
- Corporate Initiatives and Data Governance
Operationalization of Data Governance
- Data Governance Processes and Procedures
- Data Policy Management
Roles and responsibilities of Data Governance
- Corporate organizational roles (strategic, tactical)
- Data Governance Steering Committee
- Data Governance Council
- Data Governance Office
- Individual roles (tactical, operational)
- Data Stewards
- Data Analyst
- Data Owner
