Case Study: Large Multinational Medical Devices, Pharmaceutical, and Consumer Packaged Goods Organization achieves rapid, scalable data unification for analytics with Tamr Inc.

Making ‘Competing On Analytics’ A Reality In Healthcare Using Machine Learning To Bring Order To Data Chaos

Large Multinational Medical Devices, Pharmaceutical, and Consumer Packaged Goods Organization faced chaotic, siloed data from thousands of global retail partners, internal ERP and finance systems, and third‑party enrichment sources that prevented reliable cross‑brand, channel and regional analytics. The company needed to uniquely identify and classify every product and customer (including a five‑tier, 38‑category product taxonomy) to feed its analytics platform, and chose Tamr Inc.’s human‑guided, machine learning data management solution to address the problem.

Tamr Inc. implemented a machine learning‑driven data unification and mastering capability that rapidly integrated internal and external sources, incorporated expert feedback, and classified products and customers at scale. The solution delivered unified, trusted datasets in days or weeks rather than months or years, met the organization’s aggressive deadlines, supports continual data refreshes, and enabled the team to add new sources quickly — unlocking granular analytics across pricing, sales trends and market share.