Taking informed decisions for chemical developments based on laboratory intelligence created at R&D
Making better decisions is what drives the productivity and profitability of an organization. If you work for a company dealing with chemistry then making better decisions revolves around chemical identification, characterization, process-optimization; accelerated development and reducing cost!
In order to enable these activities, organizations have procured several different state-of-the-art equipment; which serve to aid scientists and researchers in their quest for the next breakthrough! However, in the process, the laboratory ecosystem has become highly heterogeneous; and this heterogeneous laboratory environment leads to several types of challenges.
- The data accumulated varies in nature, making data portability among the systems a major stumbling block.
- A crucial element for sound Research (R&D) is the ability (for laboratories) to extrapolate information from one system based on the experimental data obtained from another, for which there is no interoperability available.
- The interpretation of data into useful information is possible only on 1 computer whereas there are several beneficiaries waiting for it; and there are several such instruments.
- The knowledge hence generated becomes dependent on selected experts only and their perspective of data, due to lack of capability for multiple people can't collaborate.
- Most systems today are storing either the raw data or the final report; the context doesn't get captured and hence there are no easy answers.
- The biggest challenge is that when organizations are in front of tough questions; the answers take days (sometimes weeks) to arrive; partly because the knowledge wasn't generated and partly because it was not in presentable form.
Strategy to address these challenges with a new solution
This presentation will outline how new technologies can help organizations address all the above issues successfully. Importantly, it will save weeks of work; for generating enough knowledge and desired answers into a system using Unified Laboratory Intelligence. How to create a framework to improve chemical identification, characterization, and optimization for research efforts. By unifying the chemistry and analytical information in a live and interactive manner it is possible to create a ready to search internal reference which has all the context required to take an important decision.