Elizabeth Barrette

Ebara Elliott Energy modernized customer data management using LakeFusion AI-powered Master Data Management natively on Databricks, enriched with Dun & Bradstreet data. The solution unifies customer data from ERP, CRM, billing, and manual sources into a single, trusted customer view.Previously fragmented data created duplicates and inconsistent reporting. LakeFusion uses AI-driven matching to create a clean, authoritative customer master, enabling trusted reporting across complex global hierarchies. Sales and account teams now rely on accurate, up-to-date customer profiles.Dun & Bradstreet enrichment adds firmographic, financial, and corporate hierarchy intelligence through D-U-N-S numbers directly in Databricks, enabling strategic account management and negotiations, improved prospect prioritization, and informed credit decisions, reducing operational friction and improving data confidence.This is an excellent example of both a data provider & Built on partner of Databricks

Hexagon’s internal systems made it challenging to effectively integrate acquisition data. They needed improved data hygiene and a persistent identifier that could link entities across disparate datasets. In this client case study, follow Hexagon’s journey with Dun & Bradstreet to achieve trusted, actionable data—anchored in the D‑U‑N‑S® Number—and learn how they evolved from flat files to an agent-ready ecosystem.