Data Governance

MRO Data Cleaning for a Leading Automotive Manufacturer

A major Indian manufacturer of steering and suspension systems, operating across 15+ plant locations. The company deals with large volumes of indirect materials used for maintenance, repair and operations (MRO), which had grown unstructured over time.

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Results & impact

37,000+

MRO items cleaned and enriched

Built consistency

across all 15+ plant locations, aligning naming and formatting

65%

of items enriched with missing specifications, technical attributes and standardized descriptions

Improved data usability

in ERP systems, enabling faster material search and selection

15%

duplicate entries removed, enhancing accuracy and avoiding redundancy

10%

potential inventory reduction by eliminating duplicate and obsolete materials

Improved data usability

in ERP systems, enabling faster material search and selection

Business Challenge

The client maintained a vast MRO database with over 37,000+ item records. The data was inconsistent, incomplete and lacked standardized descriptions—leading to:

Difficulty in identifying correct materials across plants.

Repetition and redundancy in item creation.

Poor visibility into actual material usage.

Inefficient search and selection in ERP systems.

Solution & Execution

Data Discovery & Assessment

Collected item master data across all plant locations
Analyzed existing patterns, inconsistencies and gaps in descriptions
Grouped materials into categories (electrical, mechanical, tools, consumables, etc.)

Description Standardization & Enrichment

Applied structured naming conventions (Noun–Modifier–Specifications)
Removed inconsistencies in units, spellings and abbreviations
Enriched descriptions with missing technical attributes (like size, material, rating, capacity, etc.)
Created logical hierarchies and classification for each item group

Consistency Building Across Plants

Aligned similar items across plants to a common format
Eliminated duplicate entries by merging items with identical technical parameters
Ensured plant-specific variations were appropriately mapped without redundancy