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Experian: 25% higher win rates in one division, vendor-reported

Experian (credit data and analytics) reported this on 30 Sep 2026 in vendor case with a named customer (source). It belongs to the data and ontology layer.

What they built

Consolidated a division assembled from four acquisitions around one AI-driven revenue platform (Gong, per Gong's release), starting from three decisions to improve: coaching, continuity and renewal risk.

The result

25% lift in win rates.

The number covers one division; vendor-reported at Gong Celebrate '26.

The layer: data and ontology

Shared definitions of your metrics and records, used by both staff and agents.

  • One definition for every metric that matters
  • Linked objects across ERPs, CRM and documents
  • A log of human decisions and their reasons

Read the guide to data and ontology.

More cases on data and ontology

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  • 27 days

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    A recruiting and hiring agent in Microsoft Copilot Studio, grounded in the Celonis Context Model (process-mining data on how hiring actually flows), used by recruiters and hiring managers (source).

  • 2 months

    for a 1% forecast-error gain that last took a year

    A Genie-based research agent on Databricks that answers finance and store-operations questions about the labour-demand forecast, with explanations, replacing data scientists answering stakeholder emails (source).

We map how your company runs, pick the first processes with your leadership team, and put them on agents.