Bad supplier data has a cost. You’re already paying it.
Duplicates, stale hierarchies, and fragmented records quietly inflate spend and stall every initiative built on top of them. Atlas is the supplier data foundation that fixes the problem at the source.
See Atlas in action
The cost of doing nothing has changed.
Supplier data quality used to be an IT problem, now it’s a business risk.
Post-M&A volatility
Supply base consolidation through acquisition makes stale hierarchies a negotiation liability overnight.
Learn more →AI amplification risk
AI agents and copilots act on whatever supplier data they’re given. Duplicate, stale, or unverified records mean bad decisions, made faster and at scale.
Learn more →ERP and S2P migration risk
Migrations transfer vendor data; they don’t fix it. Duplicates, unresolved legal entities, and hierarchy gaps carry into the new system and put go-live and ROI at risk.
Learn more →Fraud exposure
Organizations lose an estimated 5% of revenue to fraud each year, and billing schemes account for 22% of asset misappropriation cases (ACFE, 2024).
Organizations that delay building a clean supplier data foundation are accumulating technical and compliance debt that compounds.
Your data is already telling you. Run the numbers.
Gartner puts the average cost of poor data quality at $12.9 million a year.1 This preview estimates one piece of it: duplicate records in your vendor master. The full calculator breaks your cost down across four categories.
These figures are illustrative estimates based on your inputs. The full calculator covers all four cost categories, and a free file assessment shows your actual duplicate rate.
One clean, connected supplier record. Every supplier.
Entity resolution
Resolve duplicates to verified legal entities and see true supplier counts and spend
Learn more →Hierarchy mapping
Parent, child, and ultimate ownership across corporate families
Learn more →No blind spots
Enrichment for every supplier, not just self-registered ones
Learn more →Firmographics and classifications
Revenue, size, ownership, and small business designations
Learn more →Bad data taxes every team differently
Procurement
Fragmented records hide your real spend with a supplier. Consolidate across corporate families and negotiate with full visibility
Learn more →Finance and AP
Duplicate payments start with duplicate records. Cut them off at the source and report with numbers you trust
Learn more →IT and data teams
Every connected system inherits the vendor master’s problems. Give them a clean foundation instead
Learn more →Legal and compliance
Ownership structures and exposure, visible before they become audit findings
Learn more →Go deeper
Watch the webinar: 2026 Best Practices for Supplier Data
Best Practices · Metrics & Reporting · Supplier Data
1 Gartner, Data Quality: Best Practices for Accurate Business Insights. Average annual cost of poor-quality data: $12.9 million. gartner.com/en/data-analytics/topics/data-quality
