Session
Elliott Energy Modernized Customer 360 with Databricks Native MDM + Dun & Bradstreet Enriched Data
Overview
| Experience | In Person |
|---|---|
| Track | Analytics & BI |
| Industry | Energy & Utilities, Manufacturing, Retail & Consumer Goods |
| Technologies | AI/BI, Databricks SQL, Delta Sharing |
| Skill Level | Beginner |
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
Session Speakers
Elizabeth Barrette
/General Manager Master Data Solutions
Dun & Bradstreet
Madhu Kudaravalli
/Senior Director, IT and Data Strategy
Elliott Group