Data Governance Approaches
Thought of Data Governance Approaches
Think process to resolve data governance problems.
How to help company to improve their data, change the culture of working with data.
CHANGELOG
- 2024/01/29: Initial version
- 2024/02/26: Update the approach to help customers
Key Notes
- Understand what a Data Governance Framework is
- Understand why and how a developed Data Governance Framework can solve current issues
- Case Study
- How do we get started?
- Define business value and actionable desired outcomes
- Confirm potential opportunities for moving forward on Data Governance capabilities
- Helping customer to align their business domain and business stakeholders
- How to self-study DG?
- Getting understand what is a DGF?
- Understand pain point of customer during approach the DG to customer.
- Listing out all functionalities of DG drop into the problems
Process
- Mention about business requriremnt and pain point of customer
- How data goverance will help custoemr to solve thier existing problems using MDM, Data Catalog, Data Linenage, Change the company data cultures
- Workshop
- Assessment
- Pilot
- Estimation
- Factory
Phase
They should invest on Data Warehouse and Governance before any AI activities
- Integration and Liberation (open data)
- Data Governance & Security (Building Data Management)
- AI
Question
- Top down approach for Data Governance assess
- Mean apply the policies fro the top to bottom (company -> business domain)