This service is designed to solve critical business challenges related to data accuracy, operational efficiency, and cost optimization. Organizations today struggle with inconsistent, duplicate, and unstructured data, which directly impacts decision-making, procurement efficiency, and overall business performance. Our approach ensures high-quality, clean, and reliable data systems.
What is Data Cleansing?
Data Cleansing (also called data cleaning or data scrubbing) is the process of identifying, correcting, and removing inaccurate, duplicate, incomplete, or inconsistent data from databases and systems to get accurate and reliable data for business operations and decision-making.
It ensures critical business data such as Material Master, Service Master, Equipment Master, Asset Master, Vendor master, Customer master, etc., is accurate, consistent, and reliable across all systems
⚠️ Why Master Data Gets Corrupted (Root Causes)
Organizations often struggle with poor data quality due to:
Duplicate Data Creation
Multiple users creating the same material or vendor records without validation.
Lack of Standardization
Different naming conventions used across departments/plants.
Manual Data Entry Errors
Human errors during data creation and updates.
Missing Attributes
Absence or Incomplete critical data fields.
Multi-location Operations
Different plants maintaining inconsistent/different data formats.
No Data Governance Framework
No ownership or approval workflow for master data.
📉 Impact of Poor Master Data Quality
Poor master data directly affects business performance:
Increased Procurement Cost
- Duplicate vendors/ Customer Codes
- Duplicate Material / Service / Equipment / Asset Codes
- Wrong Material / Services ordering
Excess or Dead Inventory
- Overstocking due to duplicate materials / Spares
- Inaccurate stock visibility
Delayed Procurement Cycle
- Incorrect or incomplete data slows PR to PO cycle
Poor Decision Making
- Inaccurate reports and analytics
Compliance & Audit Risks
- Inconsistent and unreliable data
These issues cost companies millions every year.
🛠️ Our Master Data Cleansing Solution
We provide a structured, technology-driven, and process-oriented approach to ensure data accuracy and usability across enterprise systems such as SAP and other ERP platforms.
Raw DataDuplicate, Inconsistent, Incomplete
CleansingAnalyze, Correct, Standardize
Cleaned DataAccurate and ERP Ready
Step-by-Step Master Data Cleansing Process:
- Business Consultation
- Input Data Collection & Analysis
- Data Assessment & Profiling
- Data Cleansing & Standardization
- Master Data Analysis
- Duplicate Analysis
- Obsolete Inventory Identification
- Active / Inactive Inventory Analysis
- Outdated & Phase-out Material Identification
- Missing Information & Description Analysis
- Self-Validation & Quality Checks
- Customer Review & Approval
- ERP Ready Clean Master Data
Benefits of Master Data Cleansing
Improved Operational Efficiency
Clean data and reduced errors
Cost Reduction
Lower inventory and procurement costs
Better Decision Making
Accurate reports and insights
Faster Procurement Cycle
Reduced delays in purchasing
Base for Data Governance Framework
Sustainable data quality management.
Industries We Serve
Tyre
Fertilizers
Industrial Chemicals
Plantations - Tea & Coffee
Carbon Black
Breweries & Distilleries
Wind Turbines
Automation
Safety Products
Engineering Tools
Engineering Instruments
Green Field Projects
Specialty ChemicalsWhy Choose Us for Master Data Cleansing?
- Domain Expertise in Master Data Management
- SAP & ERP Ready Solutions
- Industry-specific solutions
- Measurable Process Excellence
- Sustainable Data Quality & Governance
Case Study (Real Impact)
A leading manufacturing client achieved 66% SKU reduction in & 9% Inventory Reduction leading to improvement in procurement cycle time, and significant cost savings through our structured implementation approach.
Related Services
To strengthen your data ecosystem, explore:
- Master Data Enrichment
- New Code Development
- MRO Product Classification
- MRO Spend Analysis
- Onsite Data Collection
These services work together to ensure complete data accuracy and operational efficiency