Breaking Down Data Silos with Centralized Data Management

Vice President of Sales
Co-founder and COO

Most scientists follow a five-step data-management process during the life cycle of an experiment: plan, execute, analyze, process and report. Through this process, scientists interact with a variety of tools including Word, Excel, LABORATORY INFORMATION MANAGEMENT SYSTEM (LIMS), document management, inventory, instrument software, data reduction and report generation systems. Some of these solutions are highly valuable, highly automated solutions, while many are not. Generally, for every automated process, there is at least one manual process to copy, paste, transform and load data. Each time this is done there is risk that a mistake is made, which can lead to inaccurate data reporting. To mitigate this risk, laboratories conduct a manual review of this process to ensure data quality.

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