Data Science

USE CASES

Predictive models

Predictive modeling can be used in practically every industry and function: From sales forecasting to risk assessment, production planning to vehicle maintenance forecasting (predictive maintenance).

Recommendation systems

Personalize your customer experience based on individual customer behavior and increase customer satisfaction and loyalty with the help of recommendation engines.

Optimization solutions

Discover with us solutions for the optimization problem in an operational context, be it dynamic pricing or operations research (e.g., process mining).

Text analysis

Increase customer loyalty by understanding the sentiment and aggregated opinions of your customers in social media, surveys, reviews and other text sources. This allows you to respond to customer feedback, identify trends and adapt your products and services accordingly.

Fraud detection

Detect fraudulent activity more effectively and take preventative action to minimize financial risk and build customer trust.

Clustering and segmentation

Segment your customers into meaningful groups and develop personalized approaches to meet their needs and increase customer satisfaction.

Image and video analysis

Recognize and classify objects or features in images or videos. This enables the automatic recognition of vehicles, buildings, animals, landscapes, etc.