Do you need to refresh your 'data' of Master Data Management (MDM) experiences as a Data or Integration Architect, then just spend some time and read the following:
https://www.dataqualitypro.com/blog/beginners-guide-to-mdm-master-data-management
https://blog.stibosystems.com/the-complete-a-z-of-master-data-management
https://blogs.informatica.com/2020/02/10/master-data-governance-8-best-practices/
https://dwbi1.wordpress.com/2015/02/13/estimating-the-size-of-dimension-and-fact-tables/
https://profisee.com/master-data-management-what-why-how-who/
https://profisee.com/data-governance-what-why-how-who/
As an architect, a readily available template for doing the comparative tool's analysis
https://go.profisee.com/master-data-management-software-evaluation-template
Some more bonus tips from my experiences are:
https://www.dataqualitypro.com/blog/beginners-guide-to-mdm-master-data-management
https://blog.stibosystems.com/the-complete-a-z-of-master-data-management
https://blogs.informatica.com/2020/02/10/master-data-governance-8-best-practices/
https://dwbi1.wordpress.com/2015/02/13/estimating-the-size-of-dimension-and-fact-tables/
https://profisee.com/master-data-management-what-why-how-who/
https://profisee.com/data-governance-what-why-how-who/
As an architect, a readily available template for doing the comparative tool's analysis
https://go.profisee.com/master-data-management-software-evaluation-template
Some more bonus tips from my experiences are:
To move faster with your Data Ops, you need to have well-defined data ops process with tools or platforms which suits your needs, it could be the data virtualization tools (for example, Delphix or Informatica, etc.)
Have buy-in from an executive sponsor within your organization to have a Data Governance initiative or forum who defines the policies, principles, master data hub technology & enabling technology, and data quality measurement
Also, choose a very good governance tool like Collibra (which can simplify your work for Data Governance related tasks at one place)
Focus on the following aspects during the Data Governance guild, such as
- MDM Strategy
- Governance groups
- Policies and rules
- Procedures and processes(life cycle of the data)
- Tools and systems
- Training and engagement
- Audits, and metrics
- Measure and track the maturity, and then iterate
Bit more specifics on the functional Data aspects, such as
- Data modeling
- Data integration
- Data matching
- Data quality
- Data stewardship
- Hierarchy management
- Workflows
- Data archival and purging
- Data regulations and compliance with security requirements
As part of your MDM strategy, you need to look into all three pillars of master data management, such as
- Data origination
- Data management
- Data consumption
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