Coupa Inspire 2026 — Breakout Partner of the Year

The procurement
data foundation
for trusted master data

AI-assisted master data management for material cleansing, vendor intelligence, duplicate resolution, and governed golden-record readiness. Move from spreadsheets to governed MDM operations.

🛡️ ISO 9001 & 27001 Certified
🤝 Coupa · GEP · ivalua Partners
🌐 5 countries
🤖 AI + Human-in-the-Loop

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Partners
Coupa
GEP
ivalua
🏆
Coupa Inspire 2026 New Breakout Partner of the Year, International
Certified
ISO 9001
ISO 27001
Global
🇸🇬 Singapore
🇮🇳 India
🇮🇩 Indonesia
🇬🇧 UK
🇿🇦 SA
📦 Material Intelligence
👥 Vendor Intelligence
🏷️ Taxonomy & Classification
🔗 Duplicate Resolution
👑 Governed Golden Records
🛡️ Stewardship Workflows
The Problem

Bad master data is costing you
more than you think

When material and vendor data is fragmented, inconsistent, and unmanaged, the damage is felt across procurement, analytics, and every transformation programme.

📋
Duplicate materials and vendors everywhere

Inconsistent descriptions, missing UOMs, and fragmented vendor records create invisible waste in sourcing, catalogues, and ERP systems — and nobody owns fixing it.

📊
Spreadsheet-driven stewardship that doesn't scale

Data quality reviews happen in Excel tabs, email threads, and ad-hoc calls. There's no audit trail, no governance, and no way to measure progress — until the next failed audit.

💸
Transformation programmes stalled at data readiness

ERP migrations, S2P rollouts, and spend analytics initiatives get derailed by dirty master data. Generic MDM tools weren't built for procurement's complexity — so cleansing takes months.

🛡️ Master data issues do not stay in the data layer — they directly affect cost, efficiency, compliance, and transformation outcomes.
Data Foundation

One platform for all your procurement master data

Governed intake, AI cleansing, classification, enrichment, deduplication, stewardship, and golden-record readiness — in a single operating model built for procurement.

Native request portal for online intake of new master data requests
Workflow orchestration: submit → review → approve → reject lifecycle
Role-based governance across requesters, stewards, approvers, and admins
Covers materials, vendors, taxonomies, attributes, duplicates, and golden records
Ingestion from ERP, procurement systems, spreadsheets, catalogs, PO & invoice history
Cognipurge MDM — Data Quality Overview
48,210
Material Records
↑ 1,240 ingested today
87%
Quality Score
↑ +4% this week
2,841
Golden Records
↑ 184 new this run
Hydraulic Hose — 3/8 ID × 25ft
MAT-00142 · UNSPSC: 40141604 · Vendor: Parker Hannifin
GOLDEN
Bolt hex head M10 × 30mm SS316
MAT-00891 · UOM: EA · Duplicate risk: HIGH
REVIEW
Acme Industrial Supplies Pte Ltd
VND-02291 · Tax: SG201234567X · Address: verified
ENRICHING
Safety Gloves Nitrile — Large
MAT-01034 · UNSPSC: 46181504 · Completeness: 96%
GOLDEN
AI Quality Engine

Rules-driven quality that never sleeps

AI-assisted quality checks run across every material and vendor record — detecting weak descriptions, missing attributes, anomalies, and near-duplicates before they reach your ERP.

Material master rules: noun/modifier logic, UOM standardisation, attribute completeness
Vendor master rules: name validation, tax/registration checks, address consistency
AI layer detects anomalies, conflicting values, and low-confidence classifications
Governance-aligned: every quality decision has an audit trail and reason code
ISO-aligned quality principles: accuracy, completeness, consistency, uniqueness, validity
AI Quality Engine — Material Record Analysis
87%
Overall Quality Score
MAT-00891 · Bolt hex head M10 × 30mm
⚠ 2 issues flagged for steward review
Description quality
95%
Attribute completeness
72%
UNSPSC classification
100%
Duplicate risk score
HIGH
UOM standardisation
90%
AI Suggestion: Material likely duplicates MAT-00103 (similarity 94%). Recommend steward review before golden record creation.
Duplicate Resolution

ML-assisted matching that understands procurement semantics

Cognipurge detects duplicates that generic tools miss — using noun/modifier similarity, vendor alias patterns, part number signals, and PO evidence to find near-matches with explainable reasoning.

Material signals: descriptions, synonyms, manufacturer & part numbers, UOM & spec alignment
Vendor signals: name normalisation, tax/registration, address similarity, parent-child indicators
ML clustering engine with weighted match rules and fuzzy/semantic similarity
Steward-controlled: approve, override, split, or reject every merge decision
Full audit trail with decision reason codes for every golden record merge
Deduplication Studio — Cluster Review
Showing 3 of 142 duplicate clusters flagged for review
Cluster #1 — Material · Confidence: 94%
Bolt Hex M10×30 SS316
MAT-00891 · Completeness 72% · Source: ERP
94%
match
HEX BOLT M10 L30MM STAINLESS
MAT-00103 · Completeness 91% · Source: Catalog
Cluster #2 — Vendor · Confidence: 88%
Acme Industrial Pte Ltd
VND-02291 · GST: SG201234567X
88%
match
ACME INDUSTRIAL SUPPLIES
VND-00812 · GST: SG201234567X
Golden Records & Governance

Trusted, governed records your ERP can rely on

Survivorship rules, steward-controlled decisions, and full audit traceability combine to produce golden records that meet both procurement and compliance requirements.

Survivorship rules: best-value selection by completeness and source priority
Steward Workbench with comparison view, duplicate reasoning, and approve/override controls
Audit & Explainability Engine: every decision logged with lineage and reason
Policy & compliance controls with role-based access across all stewardship functions
100% audit-ready: full traceability from source record to golden output
Golden Record Studio — MAT-GR-00142
👑
Golden Record — Approved & Published
Description
Hydraulic Hose 3/8 ID × 25ft SAE100R2
✓ Catalog (highest completeness)
UNSPSC
40141604 — Hydraulic hoses
✓ AI classification · 97% confidence
UOM
EA (Each)
✓ Standardised from 3 source variants
Vendor
Parker Hannifin Corp
✓ Golden vendor record VND-GR-00892
Merged from
3 source records
✓ Steward approved · J. Santos · 14 May 2026
Full audit trail · Decision reason captured · Lineage tracked · ERP-ready
How It Works

From fragmented data to governed golden records

A governed operating model for every stage of the master data lifecycle — without the spreadsheets.

1
Ingest your source data

Connect ERP systems, procurement platforms, spreadsheets, catalog extracts, and PO history. Cognipurge's Ingestion Studio captures and normalises data from all sources — no IT project required.

2
AI cleanses, classifies & enriches

The AI Quality Engine runs rule-based and AI-assisted checks across every record. Materials get UNSPSC taxonomy, enriched attributes, and duplicate flags. Vendors get normalised names, validated tax fields, and hierarchy signals.

3
Stewards review & approve

Low-confidence records route to the Steward Workbench for human review. Stewards see comparison views, AI reasoning, and confidence scores — then approve, override, or reject with a reason code captured in the audit trail.

4
Golden records published to ERP

Approved records consolidate into the Golden Record Repository — cleansed, classified, deduplicated, and governance-stamped. Ready for ERP, S2P, spend analytics, and catalogue systems.

5
Ongoing governance & stewardship

New master data requests flow through the Native Request Portal. Workflow orchestration, policy controls, and continuous quality monitoring keep data healthy — not just for a one-time cleanse, but as an ongoing operation.

6
Audit-ready at every stage

Every ingestion, quality decision, enrichment, duplicate merge, and golden record approval is logged with full lineage and traceability. 100% audit-ready output for compliance and governance requirements.

Business Impact

Business impact that drives real value

Cognipurge delivers trusted master data faster, with higher quality, lower cost, and measurable business outcomes.

60–80%
Faster Time to Trusted Data
Faster master data readiness vs. manual spreadsheet efforts
80–95%
Higher Data Quality
Improvement in data quality and consistency
40–60%
Lower Operating Cost
Reduction in manual effort and data operations cost
5–15%
Better Procurement Performance
Improvement in sourcing effectiveness and savings
100%
Audit-Ready Governance
Complete traceability with full explainability on every decision
🎯
Faster. Cleaner. Smarter. Governed.

Cognipurge helps enterprises turn master data into a strategic asset that drives efficiency, savings, and growth.

Purpose-Built

Generic MDM was not built for
procurement data reality

Procurement master data requires domain intelligence — not just generic record matching.

❌ Generic MDM Falls Short
Generic entity matching without procurement semantics
Heavy manual taxonomy work for every category
No understanding of noun/modifier logic or UOM complexity
Steward-dependent cleanup with no governed workflow
Basic survivorship logic — no evidence-based merge rules
Slow project cycles — months to cleansed, trusted data
✅ What Cognipurge Does Differently
Material & vendor-specific intelligence built into every rule
AI-assisted UNSPSC taxonomy & auto-enrichment
Noun/modifier extraction, part number signals, PO evidence
Evidence-driven cleansing with governed stewardship workflows
ML-assisted duplicate clustering with explainable merge decisions
Faster path to trusted data — weeks not months
🛡️ Purpose-built for materials, vendors, taxonomies, attributes, duplicates, and governed golden records.
Get Started

Stop living in spreadsheets.
Know your master data today.

30 minutes with us and you'll see exactly how Cognipurge fits your data environment — or we'll tell you honestly if it doesn't.

✉️ contact@cognivitilabs.com
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