Data Quality Management (DQM) is the discipline of establishing processes, policies, and technologies to ensure that data remains accurate, complete, consistent, and fit for purpose throughout its lifecycle.
In MRO and ERP systems, DQM focuses on maintaining high-quality spare parts, vendor, and material master data. Poor data quality can result in duplicate items, incorrect inventory levels, procurement inefficiencies, and costly maintenance delays.
Effective DQM is not a one-off project but an ongoing practice that combines people, processes, and tools to safeguard the reliability of business-critical data.
High-quality data is the foundation for reliable ERP, CMMS, and EAM systems. Without DQM, organisations struggle with procurement errors, excess stock, incomplete supplier records, and unreliable reporting.
By applying structured DQM practices, organisations can:
Sharecat Data Services delivers scalable Data Quality Management solutions, combining cleansing, standardisation, and enrichment to help clients maintain accurate, business-ready datasets for ERP and MRO systems.