Data Cleaning (also called "data scrubbing" and "data cleansing") is the process of detecting, correcting, or removing errors, duplicates, and inconsistencies in datasets. In the context of MRO Data and ERP systems, data cleaning ensures that spare part catalogues, vendor information, and material records are accurate and reliable and connected to the plant hierarchy and functional locations.
For example, cleaning may involve fixing misspellings in material descriptions, removing duplicate spare parts, standardising units of measure, or updating obsolete supplier references.
Without systematic data cleaning, organisations risk downtime, inflated costs, and procurement inefficiencies due to unreliable information.
Clean data is the foundation for reliable ERP, CMMS, and EAM systems. Without it, companies face duplicate purchase orders, incorrect stock levels, and incomplete supplier information.
By applying structured data cleaning, organisations can:
Sharecat Data Services provides large-scale Data Cleaning solutions tailored for spare parts and MRO data. With industry-specific rules and proven methodologies, Sharecat helps clients eliminate duplicates, correct errors, and prepare data for standardisation and enrichment.
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