Polaris is a data management platform that values data generation process as much as the resultant data.
Polaris is designed to establish a logical linkage between data sources, operator, metadata and the data itself. As a result data standardization, preparation, and processing are embedded into the system. Instant data processing, visualization and reporting are only some of the features of such a truly scalable solution.
We Architected Polaris to Facilitate Data Accessability
Polaris sits between the data production and processing environments and the visualization, statistical or machine learning tools used downstream. It is a data management platform designed to reduce data mining and preparation overhead significantly. Users have access to quick visualization and analysis tools to further reduce the data mining hassle.
Fully customizable interactive dashboard provides a snapshot useful information such as equipment status update, latest data uploads, overall storage status and more.
Connect data to data sources
Our data handling system speaks to your equipment. Live stream data or manually upload data to a centralized databased.
Data inflow is automatically standardized, optimized for storage and undergoes under integrity checks.
Full Access to Historical Data
Test and Manufacturing data are stored under corresponding work streams on a centralized database. Bundle your work streams into a coherent project full engineering analysis.
Archive data based on project, user, project team, date and etc.
Download & Analyze
Download filtered data for further analysis or use embedded algorithms for routine data analysis.
Work stream Management
Organize your project into work streams. Establish digital linkage between test/manufacturing data and corresponding work streams.
Project leads can monitor work streams and data inflow at real time.
Data production and corresponding samples and work streams are labeled within a manufacturing line.
Project leader and members have full access to the latest version of data as well as the historical versions as the project evolves.
Keep all required documentations such as instructions, processes, protocols and etc in a centralized location organized by projects.
Record user activities and system wide changes in the database.
Improve students' learning experience based on real-time, visual data that whole class can put to use. Students can see how their work compare to the class or historical data.
Automatically identify outliers and notify students about the results. No manual report handling or manual comparison against population.
Use built-in flexible graphing tools to visualize single or a stack of data from one or multiple projects.
Use our all-in-one platform for automatic data pre-processing and routine data analysis tasks.