TCO / ROI
Data
Managing Data Quality Rules: Exceptions and the Cost of Errors
Architecting Data Quality Rules as a product involves defining clear ownership, establishing an efficient workflow for exceptions, and implementing a methodology for measuring economic impact. This approach ensures data integrity and optimizes costs.
Data
MDM without centralization: Defining master system boundaries
Defining the boundaries of master systems is a critical architectural decision for successful MDM. This approach helps avoid excessive centralization and ensures data quality.