Written by Tamr
Getting a unified view of your customers is a huge challenge for most enterprises. That’s because there are so many different data sources that it’s impossible to integrate all of them using traditional rules-based approaches like MDM or ETL.
Littelfuse, a publicly traded $5b+ electronics manufacturer, recognized this challenge was preventing them from understanding their end customers, and in turn, from being able to reliably use data to create sales & marketing strategies. This problem became urgent as the company continued to experience double-digit growth, and realized the importance of using data to maintain that growth.
Littelfuse engaged Tamr after struggling to find a scalable solution with the flexibility to work within their current ecosystem. The goal: automate the unification of sales data from hundreds of distributors globally and make customer data a trusted asset for thousands of data consumers in sales, marketing, and IT.
In this 2-minute video, Ryan Stafford (EVP at Littelfuse) describes how Littelfuse implemented Tamr’s Agile Customer Mastering solution to achieve this goal. The result: dozens of brand new analytic insights fueled by unified, clean, up-to-date, data in less than 3 weeks.
After a successful implementation, Littelfuse now has an automated, scalable solution that meets the needs of their current environment and is resilient to change as the company continues its rapid growth. Further, the company now has a strong foundation of unified data and a core set of analytics to accelerate their digital transformation. Ryan describes this journey and the path ahead as:
“The Tamr team was very much committed to the success of the project, and they weren’t wedded to any particular methodology, so they were willing to adapt to our needs, and to work at a pace that suited our schedule. The biggest take away was realizing the value of the data that we have once we put it into a format that is accessible. And providing some foundational analytics as well as some disciplines around how we manage our master data will be key to our success going forward.”