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Effective data analysis is critical to provide scientists with actionable information and valuable insights. Although organizations are utilizing data analytics tools from a business intelligence perspective, there is the opportunity to leverage data even more and use it to drive decisions. Unfortunately, data is often not able to be fully utilized as it does not follow the FAIR (findable, accessible, interoperable and reusable) guiding principles for scientific data management and stewardship. Open standards from Allotrope, the Pistoia Alliance, and the American Society for Testing and Materials (ASTM) all help to “FAIRify” data, making it available for a wider use.
Once the power of data is unlocked, laboratories can begin to experience the full value of technological advancements, including predictive analytics, artificial intelligence, and machine learning tools. Developing configurable dashboards and utilizing powerful data analytics tools, as well as integrating data analytics capabilities throughout an entire workflow, can accelerate the discovery of new insights.
In this webinar, join Dr. David Hardy, from Thermo Fisher Scientific, as he reveals the benefits of data analytics and visualization tools, and explains how laboratories can effectively use these to optimize their data to drive efficiency and innovation.
Key learning outcomes
Dr. David Hardy is currently the manager of data analytics and visualization for the Digital Science division at Thermo Fisher Scientific. David joined Thermo Fisher Scientific in 2017 as a technical solutions manager, before transitioning into his current role in 2020. With over 10 years of experience in product management, David’s career has always been focused on software – with a focus on LCMS software development and now LIMS software solutions. David has a BSc in Chemistry and a Ph.D. in magnetic resonance spectroscopy from University of Leicester, UK, and completed his postdoc at AstraZeneca R&D.