Data Cleansing is the process of detecting, correcting, and standardizing spare parts and MRO data to ensure accuracy, consistency, and reliability across enterprise systems like SAP, Maximo, and IFS.
In asset-intensive industries, poor-quality spare parts data can lead to duplicate entries, incorrect part numbers, and mismatched supplier records, which disrupt operations and increase maintenance costs.
By cleansing MRO data, organizations can trust that their information is complete, structured, and aligned with corporate and industry standards like ISO 8000 and E-Class.
Data Cleansing also forms the foundation of data standardization, enabling seamless integration across ERP, EAM, and CMMS systems.
Effective Data Cleansing in MRO environments involves a systematic approach to improving data quality.
Identify missing values, typos, or invalid codes to prevent incorrect parts being ordered or stocked.
Merge duplicate spare part entries and supplier records for consistency across ERP and procurement.
Apply consistent naming conventions, units of measure, and classification systems such as UNSPSC, E-Class, or ISO 8000.
Cross-check supplier, manufacturer, and part attributes to ensure accuracy and eliminate discrepancies.
Add missing attributes like material group, technical specifications, and manufacturer part numbers.
Without proper cleansing, organizations face:
Clean, validated data supports:
Sharecat Data Services specializes in MRO Data Cleansing and Standardization, using proven frameworks and automation tools to align MRO data with global standards like ISO 8000 and E-Class.
Sharecat’s expertise helps organizations prepare their data for SAP S/4HANA migrations, digital twins, and predictive maintenance—ensuring business-ready data at scale.
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