From declining a credit card transaction for risk or fraud, to loan approval, product quality control and anything where data plays a role, automated analytical models are what drives digital transformation.
The steps from data to discovery to deployment are a continuous loop in the analytics life cycle, driven by teams of business analysts, data scientists and development operations experts.
With time-to-value always in mind, one goal is to intelligently automate and speed up processing wherever possible. One key aspect of solving the processing problem is called massively parallel processing (MPP), which increases the speed of running analytical models through large complex data, allowing your modelers to be up to 100x more efficient.