ResourceLab Informatics
Reducing the distance between laboratory data and scientific insight
1 Sept 2026This whitepaper explores how Waters™ Data Intelligence Software helps laboratory data scientists and statisticians accelerate analysis by transforming fragmented analytical data into connected, analysis-ready datasets. Learn how improved access to contextualized data, metadata-rich analytics and cross-project visibility can reduce time spent on data preparation, strengthen statistical confidence, and support faster scientific decision-making. Discover how connected analytical environments help improve trend detection, preserve data integrity, enhance collaboration and increase scientific throughput across pharmaceutical development and regulated laboratory workflows.
Resource details:
Resource type: Whitepaper
Page count: 5
Read time: 8 mins
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Data MiningData mining is an important process for extracting information, patterns and trends from data. Data mining software, databases, reference materials and storage packages are available to process lab data.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.


