Table of Contents
The ideal number for Master Data errors is Zero.
There are two ways to achieve perfect master data. Error-proofing and error correction. Error-proofing is infinitely better than error correction.
Error-proofing
It is well known in the quality world that preventing quality issues is better than fixing them. Poka-yoke is a Japanese term for mistake-proofing, and it is widely practiced in Manufacturing and Product Design.
Applying Poka-yoke principles is the ideal way to prevent bad Master Data from being created and propagated throughout the organization (in ERP, CRM, Customer Service, Supply Chain, Finance, and other systems).
Learn more on implementing error-proofing as part of governance workflows in ZMDM.
Error Correction
The Error Correction process is supported by data quality rules that run within and across all the systems that require consistent master data. This can be done using ZFlow or other systems like SAP InfoSteward. ZMDM is generally used to address complex data quality rules spanning multiple systems. Master data records that fail the data quality rules in these systems are assigned to appropriate correction workflows in ZMDM. The correction workflows include a combination of automated data corrections and manual review steps by cross-functional teams from Finance, R&D, and Supply Chain teams.
