Decision Science is the art of utilizing insights and predictions derived from our data science applications and applying them to real-world scenarios that your business might face. Let’s dive into the specifics.
The popular Cross Industry Standard for Data Mining (CRISP-DM) advocates the following phases for a typical analytical project.
Most data science companies perform one or two of these phases at the most, leaving the rest for you to figure out. Intellitide on the other hand, excels in executing all these steps – making us a one-stop-shop for all your data processing needs.
These processes have to be perfectly executed in order to get reasonable insight. We have our best minds at work on these steps, and the result is data that is usable and organized — ripe for processing.
Our PhDs and Data Architects use years of expertise to apply suitable algorithms and statistical models to the data, giving insight that we use in our decision science processes.