Information analysis, management and decision intelligence (SBI) platform based on knowledge base
With the increasing number of external and internal information and intelligence acquisition methods, the increasing degree of automation of sample preparation and analytical testing methods, and the increasing emphasis on data and knowledge accumulation in the information age, almost every material science The data generated by the R & D process in related fields is growing exponentially, and how to quickly obtain valuable clues from these vast data and information to help people make reasonable decisions at all stages of research and development is an urgent need. An important issue to be solved. Pipeline Pilot, a process-based information mining, analysis and management platform, can quickly integrate various types of data at different stages of research and development and from different sources, including chemical structures, spectra, images, preparations from various instruments and samples or Various raw data collected in the synthesis stage, high-throughput screening data, etc., through the integration of rich calculation, simulation and statistics and other methods, these data are effectively managed and analyzed. At the same time, Pipeline Pilot can also be seamlessly integrated with the well-known data dynamic interactive analysis visualization and business intelligence software Spotfire, interactively analyze and mine the data, and find the key factors for reasonable decision-making.
The information mining, management and decision-making platform composed of Pipeline Pilot and Spotfire allows people to understand through a large number of data analysis, the most critical factors required to decide where to dig an oil well, the key process and key mechanisms and properties that affect the performance of the catalyst 1. How to discover and avoid costly small errors in the chip manufacturing process and the key processes and formula mechanisms involved in formula design.
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