Littelfuse Discovers It’s True Customer Base Amid Dirty Data
Learn how they were able to master customer data coming from 200+ sources in a few weeks and gain rapid insights into their sales process.
Littelfuse, a $7bn multinational electrical components manufacturer, needed to get insights into its sales process and results—starting with understanding how many customers it actually had. With sales data coming from 200+ sources, it wasn’t easy. Nor was keeping up with constantly changing and disconnected data, particularly from distributors.
By moving to a modern, cloud-native data mastering solution, Littelfuse curated and enriched their customer data from internal sources and distributors, yielding an accurate, living dataset of true end customers.
Read this case study to discover how Littelfuse streamlined the sales process and identified cross-sell and upsell opportunities using Tamr. You’ll learn:
- How low quality data from distributors hid it’s true customer base
- What they were able to achieve at scale using machine learning
- Why executives now trust their business data to inform decisions
Register now to learn how you can accelerate analytic outcomes, prioritize key accounts, and make confident decisions with a modern, machine learning-driven data mastering solution.