Organization actively embracing digitalization are facing major challenges such as i) the disparity of data sources and format; ii) managing large volumes of data while ensuring quality and consistency; iii) scalability of data infrastructures and iv) making data readily available for analysis and decision making, while ensuring security and compliance. SciY suite of digitalization solutions helps organizations, and their IT departments overcome these challengers, enhancing their ability to manage data, streamline process and support organization growth and drive innovation.
At the core of SciY Digitalization Suite, there is the Data Platform, integrating data from various scientific sources, including R&D, analytical chemistry, bioassay, enterprise systems, and robotics.
Manual data integration is time-consuming and error-prone, but SciY automates this process using data harvesters and parsers, currently handling 700 sources and expected to exceed 800 by year-end. Once ingested, data is standardized into human and machine-readable formats, making it ready for exploitation by data consumers such as experiment planning tools, ML/AI systems, and visualization dashboards. The application hub, through a set of APIs, ensures all data in the repository is accessible for further analysis, learning, and visualization, thereby enhancing knowledge and accelerating research, development, and market readiness.
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