Comparing the Data Quality Strategies
Figure 2. Comparing data quality strategies.
Table 1. Rating the data quality strategies.
Data Quality Strategy | Financial Risks | Complexity Risks | Cultural Risks | Assessment |
Agile architecture envisioning | ||||
Agile data modeling | ||||
Agile enterprise architecture | ||||
Agile master data management | ||||
Continuous database integration | ||||
Database refactoring | ||||
Database regression testing | ||||
Enterprise data modeling (EDM) | ||||
Extract transform load (ETL) | ||||
Lean data governance | ||||
Logical data modeling (LDM) | ||||
Master data management (MDM) | ||||
Model reviews | ||||
Non-solo development | ||||
Physical data modeling (PDM) | ||||
Traditional architecture modeling | ||||
Traditional data governance | ||||
Traditional enterprise architecture |
Related Resources
- The Agile Database Techniques Stack
- Assessing Data Quality Techniques
- Clean Database Design
- Configuration management
- Continuous Database Integration (CDI)
- Data Cleansing: Applying The “5 Whys” To Get To The Root Cause
- Data Quality in an Agile World
- Data Quality Techniques
- Data Technical Debt
- Database refactoring
- Database testing
- Test-Driven Development (TDD)
Recommended Reading
This book, Choose Your WoW! A Disciplined Agile Approach to Optimizing Your Way of Working (WoW) – Second Edition, is an indispensable guide for agile coaches and practitioners. It overviews key aspects of the Disciplined Agile® (DA™) tool kit. Hundreds of organizations around the world have already benefited from DA, which is the only comprehensive tool kit available for guidance on building high-performance agile teams and optimizing your WoW. As a hybrid of the leading agile, lean, and traditional approaches, DA provides hundreds of strategies to help you make better decisions within your agile teams, balancing self-organization with the realities and constraints of your unique enterprise context.
I also maintain an agile database books page which overviews many books you will find interesting.