Case Study: Large Biopharma Company achieves rapid instrument integration and unified, analysis-ready R&D data with Dotmatics Luma

Beyond JSON Centralizing, Modeling, and Aggregating Instrument Data to Enable Deeper Analysis

Large Biopharma Company was struggling to turn the heterogeneous output from thousands of laboratory instruments into analysis-ready data: simple JSON conversion left data siloed and inadequately modeled for nested, cross-context R&D analyses. The team engaged Dotmatics and evaluated Dotmatics Luma as a potential solution to automate acquisition, standardization, and deeper contextualization of instrument data.

Dotmatics implemented Dotmatics Luma to automate data ingestion, advanced parsing, and a flexible governed data model that harmonizes instrument output with other R&D data and streams it into nested analytical pipelines. The deployment exceeded expectations—Dotmatics connected 2,000+ instruments within six months (about 4x faster than planned) and now supports broad fleet and experiment diversity, enabling cleaner, faster analysis and improved researcher productivity.