A block is a powerful data science engine that automatically translates raw data from connected internal and external sources in accurate predictions on a variety of business problems. Blocks can be used stand alone, but become even more powerful when combined with other blocks in a business solution. Blocks are programmed in such a way that they can easily be clicked together and interact with other blocks.
The incoming data will be processed and prepared for predictive analysis.
Most important variables will be selected and data reduced to computable size, while retaining most of the information in the data.
To ensure the accuracy of the outcomes the best statistic or machine learning model for your specific business goal will be selected.
The generated predictions will be validated and assumptions will be checked to assure maximum reliability.