Methodology
Cleansing Capabilities
We don't just fix typos. We apply engineering logic and industry standards to transform your data into a strategic asset.
De-duplication
- Identify exact & fuzzy matches
- Consolidate stock across plants
- Link duplicates to a single Golden Record
Standardization
- Noun-Modifier-Attribute formatting
- Standardize abbreviations (e.g., ASSY, BRG)
- Consistent casing and punctuation
Normalization
- UOM Normalization (Box/BX/Case -> EA)
- Manufacturer name cleanup (3M vs 3-M)
- Special character removal
Enrichment
- Fill missing specs from datasheets
- Add UNSPSC & eCl@ss codes
- Identify obsolete items
Legacy Data Migration
- Extract from multiple legacy ERPs
- Map to new ERP structure (S/4HANA)
- Pre-load validation
Classification
- Assign commodity codes
- Spend analysis categorization
- Hierarchy building
The Cleansing Workflow
Data Profiling
Assess the health of raw data, identifying patterns and error rates.
Standardization
Define naming conventions, templates, and abbreviation rules.
Cleansing
Execute bulk cleansing, parsing, and attribute extraction.
Validation
Quality control checks by domain experts to ensure accuracy.
Golden Record
Final load of the single, trusted version of the truth.
The Impact of Clean Data
Inaccurate data costs businesses millions in duplicate purchases and operational downtime. Our cleansing service delivers immediate ROI.
- Eliminate 15-30% of stock through de-duplication
- Reduce procurement time with searchable catalogs
- Leverage spend analytics for better vendor negotiation
- Enable successful ERP migration (SAP S/4HANA)
- Prevent 'Maverick Buying' (off-contract spend)
Data Transformation Results
Duplicate Stock Reduction30%
Search Efficiency85%
Data Accuracy99.8%
Sectors
Industries We Serve
Manufacturing
Oil & Gas
Power & Utilities
Engineering & EPC
Automotive
Pharmaceuticals
Retail