Athena – AI-Powered Data Quality & Governance Platform
Inconsistent Data, Inconsistent Decisions
Fragmented Master Data
- The same product or customer appears under multiple IDs, formats, and descriptions.
- Each system maintains its own version of “truth”, creating chaos.
Poor Catalog Quality
- Missing attributes, wrong categories, and inconsistent values reduce search relevance, conversions, and automation.
- Marketplace listings are rejected or underperform because of incomplete data.
Manual, One-time Cleanup
- Data teams periodically “clean” data in spreadsheets or one-off projects.
- Quality drops again as soon as new feeds, suppliers, and channels are added.
No Clear Governance
- No central rules for standards, taxonomies, validations, or approvals.
- Difficult to answer “which system is correct” during audits or analytics projects.
Athena solves this by delivering an AI-powered data quality and governance layer that continuously monitors, cleans, enriches, and standardizes your critical data.
Our Solution - Athena Data Quality & Governance Platform
Athena is an AI/ML-driven data quality accelerator that sits on top of your existing systems and continuously improves the quality of item, customer, and supplier master data.
What Athena does:
Detects Problems
- Duplicate items, customers, and suppliers
- Incomplete or inconsistent attributes
- Wrong taxonomy or category placement
- Conflicting values across systems
Fixes and Enriches Data
- AI-driven deduplication and golden record creation
- Attribute normalization and standardization
- Rule-based and ML-based attribute enrichment
- Image-to-attribute validation (for product catalogs)
Governs Data Lifecycle
- Central data-quality rules & policies
- Approval workflows and exception handling
- Continuous monitoring instead of one-time cleanup
- Audit-ready logs and dashboards
Think of Athena as an always – on “data hygiene & governance engine” for enterprise master data.
Architecture & Technical Approach
ERP / MDM
PIM / PLM
CRM & CDP
Supplier & marketplace feeds
eCommerce platforms
Data lakes / warehouses
Connectors / Ingestion Layer
1. Profiling & Rules Layer
- Data profiling (completeness, uniqueness, consistency, validity)
- Configurable rules (format, range, reference lists, mandatory fields)
2. AI/ML Quality Services
- Fuzzy matching & deduplication
- NLP-based description & title parsing
- Attribute extraction & normalization
- Image-to-attribute comparison (optional)
3. Governance Layer
- Golden record creation & survivorship rules
- Steward workbench for exceptions
- Approval workflows
- Versioning, lineage & audit logs
Publish & Integrate
Push cleansed and governed data back to ERP, PIM, CRM, marketplaces, and analytics platforms
Expose quality APIs and data services to downstream
AI-Driven, Scalable & System-Agnostic
Key Capabilities </span
AI-Powered Deduplication
Automatically detects and merges duplicate item, customer, and supplier records using fuzzy matching and ML models.
Attribute Cleansing & Standardization
Normalizes units, formats, naming conventions, and allowed values to keep catalogs and masters consistent.
Taxonomy & Category Governance
Ensures products are placed in the right categories, with rules for mapping new items from suppliers or feeds.
Data Profiling & Quality Scoring
Continuous scoring for completeness, accuracy, validity, and uniqueness at table, attribute, and domain levels.
Enrichment & Recommendation
Suggests missing attributes, preferred terms, and corrections based on patterns learned across your catalog.
Multi-domain Governance
Works across item, customer, supplier, location, and hierarchy data — not just product catalogs.
Ready to make your data trustworthy, governed, and analytics-ready?
See Athena in action on your own product, customer, or supplier data.
Business Benefits
Improved Product Discoverability & Conversion
Clean, complete, and standardized attributes boost search relevance, SEO, filters, and recommendations – driving higher conversions across digital channels.
Faster Item Onboarding & Marketplace Compliance
Automated validation and enrichment reduce manual effort and ensure new products go live faster with fewer listing rejections.
Single, Accurate Source of Truth Across Systems
AI-driven deduplication and governance create unified item, customer, and supplier masters for consistent data across ERP, PIM, CRM, and commerce platforms.
Better Pricing, Margin & Operational Decisions
Golden records and governed data strengthen analytics for margin analysis, forecasting, contract decisions, and quote-to-order efficiency.
Case Studies
Large B2B Landscape Supply Company (North America)
Athena unified and cleansed over 1M+ item, customer, and supplier records across ERP and eCommerce systems. AI-driven deduplication and validation improved catalog quality by 25% and reduced manual data cleansing effort by 70%, restoring trust in analytics and pricing decisions.
Large Home Improvement Retailer (North America)
Athena integrated with Stibo PIM to validate millions of SKUs in real time before entering downstream systems.The result: 45% higher attribute completeness, 80% less manual correction, faster seller onboarding, and improved search and product discovery across digital channels.
Connect with our experts
DJ Basumatari
Chief Executive Officer
Abhishek Jain
Director - Solutions & Innovation
