Case Study: International Pharmaceutical Company achieves faster data connections and a cultural shift to better data quality and accessibility with Tamr Inc.

For Pharmaceutical Company, Tamr Enables Faster Data Connections and Drives a Cultural Shift Around Data Quality and Accessibility

International Pharmaceutical Company was struggling with critical research data trapped in tens of thousands of spreadsheets — more than 100,000 distinct attribute names, millions of rows and inconsistent labeling across global labs — which made it slow and costly to find and reuse compound, assay and reaction data. To solve this, the company engaged Tamr Inc., using the Tamr system (machine learning plus expert sourcing) to standardize, integrate and prepare disparate lab data for analysis.

Tamr Inc. automatically matched 86% of source attributes in the initial deployment and, with expert sourcing by a 40-person team, improved mapping by roughly another 10 percentage points; the project reduced attributes requiring manual review from about 400 to 56 (an ~86% reduction). Beyond these measurable gains, Tamr Inc. enabled faster data connections and a cultural shift: data owners began proactively improving data quality, allowing faster, data-driven decisions to accelerate and lower the cost of new product development.