Spare Parts Data Management (SPDM) is the structured approach to organizing and maintaining high-quality spare parts information across enterprise systems. It involves cleansing inaccurate data, standardizing part descriptions, and enriching records with key attributes such as manufacturer details, material specifications, and interchangeability data.
Poor-quality spare parts data often leads to duplicated records, procurement inefficiencies, and higher maintenance costs. By applying robust Spare Parts Data Management, organizations ensure that part information is accurate, reliable, and business-ready.
Effective Spare Parts Data Management enables companies to:
It also provides the foundation for related initiatives such as Spare Parts Standardisation, Spare Parts Criticality, and Inventory Optimization.
Sharecat Data Services helps organizations transform spare parts data from inconsistent and incomplete records into structured, standardized, and enriched datasets. This is achieved by:
By applying structured Spare Parts Data Management, Sharecat enables organizations to cut costs, strengthen asset reliability, and achieve long-term operational excellence.
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