Case Study: McGraw-Hill achieves 54% auto-approval and 7% reduction in bad debt with Dun & Bradstreet ERAM

A Dun & Bradstreet Case Study

Preview of the McGraw-Hill Case Study

Automated Scorecards Earn High Marks at McGraw-Hill

McGraw‑Hill, a global learning‑science and educational publishing company, needed an automated, centralized credit risk management solution that would integrate with its ERP and CRM (Salesforce) tools. Seasonal ordering and the growing shift to digital subscription models made fast, rigorous credit evaluations essential across tens of thousands of accounts while the company maintained a modest credit staff.

They implemented Dun & Bradstreet’s Enterprise Risk Assessment Manager (ERAM) to automate scorecards and credit decisions using D&B data combined with McGraw‑Hill’s own customer information. ERAM delivered real‑time decisions in Salesforce, boosted auto‑approval on new accounts from 0% to 54% (with early estimates of about 80% for existing accounts), improved portfolio reporting and visibility for executives, and contributed to a 7% reduction in bad‑debt write‑offs.


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McGraw-Hill

George Karpiw

Director of Credit & Collections


Dun & Bradstreet

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