Tamr is the enterprise-scale data unification company trusted by industry leaders like Toyota, Thomson Reuters, and GSK. The company’s patented software platform uses machine learning supplemented with customers’ knowledge to unify and prepare data across myriad silos to deliver previously unavailable business-changing insights. Tamr makes it easy for data engineers to combine, master, and classify diverse data sources at scale. With a co-founding team led by Andy Palmer (founding CEO of Vertica) and Mike Stonebraker (Turing Award winner) and backed by founding investors NEA and GV, Tamr is transforming how companies get value from their data.
This white paper explains why traditional master data management (MDM) systems do not scale to meet the needs of large, multinational financial companies. It further explores a new MDM reference architecture that applies machine learning algorithms to the problem.