Time to Build the Foundation to Improve Spend Analytics for Strategic Sourcing - DATAVERSITY

Tamr first brought its data unification technology to the market as a general purpose solution to help companies in their quest to become truly data- and analytics-driven enterprises, providing a next-generation means for them to clean and connect disparate data in an automated and scalable way. When DATAVERSITY spoke to Tamr co-founder Andy Palmer in late 2014 for an article on data curation, he discussed how using Machine Learning and semantic triple stores to address the enterprise data unification issue offered a great opportunity for businesses to gain 360-degree views of suppliers, customers, products, or whatever their needs might be to inform analytics and address hard business questions. At the time, he pointed to one unnamed enterprise that was putting the technology to work to optimize spending, making sure to get the best price for all products it buys across the entire company. Now, spend analytics for the cause of strategic sourcing is a primary use case that Tamr has settled on as giving businesses, large and small, the biggest opportunities for success from the holistic Data Management enabled by its technology. "Data is in the forefront for our customers like GE, Toyota Motors Europe, GSK and Thomson Reuters," says Nidhi Aggarwal, Global Lead of Strategy and Marketing at Tamr. "They understand the importance of data preparation and how that lets them become data-driven."