MRO data cleansing: Clean master data with just a few clicks

Duplicate materials in SAP or IBM Maximo typically arise from a lack of standardization, incomplete data, and missing validation during material creation.

They often occur due to the following reasons:

•  Inconsistent naming conventions: The same spare part is entered differently across plants or users (e.g., abbreviations, languages, or formatting variations).
• Missing or incomplete key identifiers: If fields like Manufacturer Part Number (MPN) or manufacturer name are not maintained, users cannot reliably check if a material already exists.
• Decentralized material creation: Multiple teams or locations create materials independently without a unified governance process.
• No duplicate check before creation: Without automated validation or search checks, users unknowingly recreate existing materials.
• Poor searchability in your current systems: Inconsistent descriptions or lack of structured data make it difficult to find existing materials, leading users to create new ones instead.

Explore how to get and maintain reliable master data.

Duplicate materials increase downtime risk because they hide true stock levels across locations, making it difficult to find and use available spare parts when they are needed.

To reduce this risk, manufacturers should:

• Leverage software to identify and validate duplicates at scale: Use digital tools to detect duplicate materials based on multiple attributes, ensuring consistent validation and preventing duplicates from being created.
• Establish cross-site inventory visibility: Knowing what stock exists across all plants and storage locations ensures the right part can be located and used in time, avoiding unnecessary purchase
• Standardize on a single material: Redirect procurement to the validated material number and gradually phase out duplicates.
• Align maintenance planning: Ensure planners and technicians use the approved material number for future preventive maintenance jobs.

Discover how to safely reduce spare parts inventories.

You should identify affected assets, check for successors, and plan a controlled transition instead of immediately blocking procurement.

• Run a periodic check for End-of-Life (EOL) or Not Recommended for New Design (NRND) status on critical spares.
• Review technical specifications of suggested successor parts and let engineering confirm form-fit-function suitability.
• For high-risk items, evaluate a Last-Time-Buy (LTB) based on estimated remaining asset life.
• Update the material master with lifecycle status so buyers and planners see the risk before ordering.

See how to find the best suppliers for your MRO spare parts.

Standardizing spare parts data across multiple sites is difficult because data is typically fragmented across plants, systems, and teams, each using different naming conventions, structures, and processes. 

In addition, many ERP and CMMS systems (e.g., SAP, IBM Maximo) were not designed to enforce global data standardization or advanced duplicate detection. As a result, inconsistencies are not systematically prevented and often accumulate over time.

Manual data cleansing does not scale in this environment. As new materials are continuously created, inconsistencies quickly reappear without a consistent, system-driven approach.

To standardize spare parts data at scale, companies should:

• Define global data standards: Establish consistent rules for naming, descriptions, classification, and other attributes across all sites.
• Leverage software for automated matching and enrichment: Use digital tools to identify duplicates and harmonize materials based on multiple attributes.
• Centralize validation and decision logic: Ensure duplicate resolution, enrichment, and standardization follow the same rules across all locations.
• Enable cross-site visibility: Make materials and stock visible across plants to support consistent usage and reduce local variations.
• Embed governance through digital workflows: Use rule-based validation checks and role-based approvals to ensure consistent data creation, clear responsibilities, and prevention of new inconsistencies.

A lightweight approval workflow with clear responsibility for Manufacturer Part Number (MPN) validation is enough to prevent most new duplicates.

• Define one responsible role that checks new material requests against manufacturer data before release.
• Require mandatory fields such as manufacturer name and MPN for all externally sourced spare parts.
• Use a standardized template for material requests instead of free-text emails.
• Schedule a monthly review of newly created materials to catch patterns early.

Poor MRO data reduces spare parts availability and disrupts purchasing because it makes it difficult to identify, locate, and order the correct parts.

When master data is incomplete, inconsistent, or duplicated, it leads to:

• Reduced parts availability: Spare parts may exist in stock but remain hidden due to duplicate materials or inconsistent records across plants and systems.
• Incorrect or delayed purchasing: Missing or unclear identifiers (e.g., MPN, manufacturer) make it harder to order the right part quickly and accurately.
• Unnecessary purchase orders: Lack of visibility into existing inventory leads to reordering parts that are already available elsewhere.
• Longer maintenance lead times: Technicians and planners spend more time searching for or verifying parts, delaying repairs.
• Higher inventory costs: Duplicate materials and excess safety stock increase working capital and storage complexity.

Once duplicates are resolved and enrichment data is validated, changes can be pushed back into your ERP system through a direct API integration, not field-by-field manual updates. This means approved changes can be applied in controlled batches via structured change requests, keeping the process auditable and the risk of introducing new errors low.

Explore SPARETECH’s API solution for seamless integration.