After a specific lab workflow has been finished and final reports have been released, the underlying data is rarely looked at again. This is wasted potential, because the sum of historical data captured within a LIMS database is a treasure trove of information, which can be an invaluable asset in further optimizing lab and business operations. Distinguishing signal from noise in big data to identify meaningful patterns is a challenge however, and requires smart aggregation and visualization of data entities. This process of investigating historical data is fortunately nowadays easier than ever, and no longer the exclusive domain of trained data scientists. Any lab technician and lab manager can be trained with little effort to apply modern business intelligence solutions to their LIMS data, and thus make the most out of their data to support smart decisions.
Learning objectives:
- Become aware of the potential of big data visualization and analysis for laboratories
- Learn how to drill down from data aggregates to discover meaningful patterns
- Get an idea of the use cases Business Intelligence solutions can support you with, like keeping track of KPIs or investigating historical data to identify bottlenecks
- Get a high-level understanding of how Business Intelligence solutions can be used to liberate your lab data to make it easily accessible within your IT landscape for other software tools
Speaker: Arne Baillière
Arne Baillière is a Business Consultant and Application Trainer at Abbott informatics, contributing to the STARLIMS Product Market Development.
Arne has previously worked at the Berlin Centre for Regenerative Therapies (BCRT) as a LIMS Administrator. After moving into the LIMS industry, he was active in Customer Support, and then went on to become Key Account Manager for DACH and Sales Representative for the Benelux. Arne supported customers and developers alike with LIMS implementations and development.