Case Study 1 : Data Cleansing

Case Study 1 : Data Cleansing

Client Background :

The client is one of the leading manufacturers and distributors in the Fertilizers and Industrial Chemicals sector having turn over around 10,000cr with 5 operating plants across India.  

With a rapidly expanding product portfolio and a high volume of material transactions YOY, their Material Master Data had grown inconsistently over time to around 93,258 SKU’s with a inventory value of 125cr, leading to inefficiencies across supply chain, inventory, procurement, and compliance processes. 

Challenges & Master Data Pain Areas

The client faced critical data quality issues, including: 

  • Duplicate material codes across SAP 
  • SAP material group mismatches 
  • Inconsistent naming conventions and formats 
  • Spelling errors & unstructured material descriptions 
  • Missing technical attributes in material master such as OEM, MPN, Size, UoM, and drawing/tag details 
  • Difficulty in identifying obsolete and non-moving inventory 
  • Lack of a central tracking & data quality governance mechanism 
  • Operational delays in procurement and inaccurate stock forecasting 

These challenges impacted business KPIs such as: 

  1. Inventory & Inventory carrying cost 
  2. Equipment Bill of materials (BOM) correctness 
  3. Material searchability and reporting reliability 

 

W2W Solution:

A Complete Data-Driven Master Data Quality Upliftment Approach 

Material Master Data Cleansing & Governance Platform is deployed by W2W with following Core Transformation Framework 

Project Stage 

Key Activities 

Data Cleansing  

Duplicate detection, phase-out spare identification (equipment/machine and technology), Conversion of OEM spares into standard spares 

Data Standardization 

Normalization of Category, OEM/MPN structuring, UoM, Size formats, Abbreviations, Tag numbers, Text Separator, etc. 

Design and implement string consistency based on customer requirements and MRO category standards 

Data Enrichment 

Technical Attribute such as OEM/MPN/Size/UoM etc., tags & drawing numbers, OEM equipment details.  

Implementation of attribute labels & value combination for long descriptions. 

Data Validation 

Technical Attributes verification from catalogues/drawings & through physical verification 

Inventory Reduction 

Identification and Classification of Non-Moving & Obsolete. 

Complete Identification of repetitive, and duplicate material codes (post-standardization and enrichment) 

MDM Support for Data Control, Data Governance & Sustainability 

MDM Tool Implementation Support including process design aligned with data standardization SOPs for new material code creation, integrated duplicate-check search functionality 

Continuous MDM tool support to govern and maintain data quality for new material code creation, sustained for over 6 years. 

S4 HANA Implementation Support 

SAP template-based data transformation, including mapping of material groups and sub-groups, material type, unit of measure (UoM), accounting data, and HSN codes, along with conversion of long material descriptions to meet template requirements. 

 

Results & Business Impact :

1. Material Master Data Complexity Reduction and Quality Improvements : 

  • 66% reduction in material codes i.e. 93,258 SKU’s reduced to 31,881 SKU’s 

  • 100% accuracy achieved for Data Standardization 

  • 85% accuracy achieved for Data Enrichment & Data Validation 

2. Inventory Optimization Impact :

  • Inventory volume reduced from 125cr to 114cr (approx. 9% reduction) through cleansing insights 

3. Data Sustainability Gains :

  • Governance controls enabled for new material code creation 

  • Continuous duplicate prevention workflows implemented 

  • YOY feedback loop established for ongoing accuracy monitoring 

  • Long-term master data reliability secured across the organization 

 

Key Outcomes Delivered :

  • Centralized Master Data Governance Model 

  • Accurate and structured Material Master Database 

  • Compliance-aligned OEM, MPN, HSN, and attribute, categories & group mapping 

  • Duplicate-free code creation control 

  • Reduced inventory waste and carrying cost 

  • Sustainable data processes for future scalability 

 

Conclusion 

By implementing W2W’s Material Master Data Cleansing and Governance Platform, the client successfully transformed its master data into a single source of truth, enabling higher accuracy, compliance, inventory optimization, and long-term operational reliability. 

This initiative now supports improved decision-making across procurement, supply chain, finance, and plant operations—creating a scalable model for continuous Master Data Quality Upliftment.