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.
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Trusted by 58% of the Fortune 100
~85% automated match rate
239M+ legal entities across 145 countries
Why now
The cost of doing nothing has changed.
Supplier data quality used to be an IT problem. It is now a business risk.
Regulatory pressure
CBAM, CSRD, modern slavery acts, and evolving sanctions regimes require auditability at the legal entity level, the verified company behind the vendor record, not just the record itself.
Post-M&A volatility
Supply base consolidation through acquisition makes stale hierarchies a negotiation liability overnight.
Audit exposure
Duplicate payments and unresolved vendor identities are now a top-five finding in AP and procurement audits.
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 not saving money. They are accumulating technical and compliance debt that compounds.
What is bad data costing you
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.
Duplicate records
Wasted maintenance spend
Recoverable with Atlas
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.
The fix
One clean, connected supplier record. Every supplier.
Entity resolution
Resolve duplicates to verified legal entities and see true supplier counts and spend
Hierarchy mapping
Parent, child, and ultimate ownership across corporate families
No blind spots
Enrichment for every supplier, not just self-registered ones
Firmographics and classifications
Revenue, size, ownership, small business and sustainability designations
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
Finance and AP
Duplicate payments start with duplicate records. Cut them off at the source and report with numbers you trust
IT and data teams
Every connected system inherits the vendor master’s problems. Give them a clean foundation instead
Compliance and risk
Ownership structures and exposure, visible before they become audit findings
Works with your stack: SAP Ariba Oracle Coupa Workday
Stop paying for bad data.
Join the supplier data foundation trusted by 58% of the Fortune 100
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
