Developments in data science have allowed for optimal results in machine learning projects, as seen in the following graph:
The first phase of this methodology is to understand the data and prepare it by collecting, enriching and normalizing the information. By applying advanced data science techniques after gaining a thorough understanding of the data, a model is trained and fitted in a mathematical representation. Once optimized, the model is integrated with the relevant applications, which can be UREASON’s APM Solutions, ERP or CRM. The model is automatically tuned based on feedback from real-life situations.