The customized predictive analytics solutions provided by SimCog follow a stepwise procedure. The chart on the right side depicts the procedure.
The first step to a prediction is the analysis and the refinement of existing data. This data is combined with structured external data, such as geodata, holiday seasons or weather. SimCog can additionally include unstructured (text-)data (e.g from social media, blogs, or news) if appropriate in your case of application.
From Pattern Recognition to a Simulation Model
The next step is a complex machine learning process to detect and verify linear and non-linear patterns in the data, resulting in a customized simulation model of the examined processes.
Recommended Action / Output
When the machine learning is completed, SimCog can predict important indicators (sales, visitor flows, etc.) for your business. This detailed causality analysis enables SimCog to assess the influence of individual variables, for instance to enhance marketing spend efficiency.
The safety of your data is provided in the SimCog analysis procedure.