The optim*um service
- Predictive analytics enables forecasting of a target value based on a model that has been trained on historical data, mostly in the form of time series.
- Predictive analysis therefore goes one step further than business intelligence, in which data is mainly presented individually and then linked.
- Examples of possible application cases or forecast models include the accident risk of an insured person, the user figures of an app, or the viewing figures for TV and radio programs.
What makes *um better?
We believe there is no such thing as a ready-made solution. We work together with our clients to find the right solution for them, whether that is B2C or B2B. Based on the company and economic data of the client, we implement data analysis processes to detect hidden patterns and relationships. In addition, we collaborate with our clients to identify and tap into new, helpful data sources from outside of the company. We consider and analyze all the data with a view to providing clients with a better understanding of their own processes and their market environment.
Our Big Data Team possesses extensive sector-spanning experience in the field of data science and machine learning. With a mix of mathematicians, psychologists, physicists and computer scientists, the team is able to examine the various facets of a data problem from a wide range of angles. We stay on the cutting edge of research and do not shy away from technical innovations.