Session

Elliott Energy Modernized Customer 360 with Databricks Native MDM + Dun & Bradstreet Enriched Data

Overview

ExperienceIn Person
TrackAnalytics & BI
IndustryEnergy & Utilities, Manufacturing, Retail & Consumer Goods
TechnologiesAI/BI, Databricks SQL, Delta Sharing
Skill LevelBeginner
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