Exploratory data analysis for predictive modeling in healthcare—For the first time, decision-makers were able to clearly and intuitively understand what their data actually contained and where its limitations lay. Instead of reacting to isolated statistics or model diagnoses, stakeholders were able to directly assess where data was sufficiently comparable and where structural differences would hinder meaningful analysis. This transparency strengthened trust...

How STAT-UP helped an energy provider significantly reduce overproduction, lower operating costs, and noticeably cut CO2 emissions—District heating networks in Europe are operating well below their potential. Many networks were planned and built at a time when energy costs were low and buildings were poorly insulated. Their operating parameters have remained largely unchanged since then. Today, heat is produced and fed into the grid based on simple rules...

Wie STAT-UP den Vorstand und die Geschäftsleitung eines Einzelhandels- und Logistikunternehmens mit einem datenbasierten Entscheidungsinstrument ausgestattet hat, das dem Kunden ermöglicht, Investitionen gezielt zu steuern, Prozesse zu optimieren und aufkommende Probleme direkt in den Rohdaten zu erkennen. Die Methodik hinter unserer datenbasierten Vermögensvalidierung wurde von externen Wirtschaftsprüfern anerkannt und das Unternehmen konnte sein Sensor-Ökosystem schließlic

How STAT-UP took over the churn management for a german municipal utility - In a market where switching providers takes just a few clicks, customer retention has become the single biggest revenue lever for energy suppliers. A medium-sized German municipal utility was losing customers at an alarming rate — yet had no reliable way to identify who would leave next. Expensive sociodemographic profiling had failed to move the needle, and the data needed for smarter approaches was

Enabling data-driven innovation at Fraport - The arrival time prediction model shows the potential to reduce wait times for ground service providers by up to 60%—with a direct impact on operating costs and service quality. The retail model enabled a more systematic approach to flight positioning decisions and provided a quantitative basis for negotiations with airlines. Furthermore, the project demonstrated that a number of established decision-making rules were not supported

We are implementing our Scenario Simulation Platform for Jolt with components for microgeographic data, sociodemographic indicators and traffic flow analyses. It can be flexibly adapted to the infrastructure of different cities, identifies attractive locations and forecasts how demand and utilisation will develop. Numerous parameters are taken into account, such as transport logistics, loading hub capacities, travel times and demand trends.

STAT-UP hat für einen Kunden Wetterdaten ausgewertet - mit erstaunlichem Impact aufs Geschäft.

Das IDEA-Framework - Wirkungsorientiertes Planen, Monitoren und Evaluieren komplexer Technologievorhaben in Bildungskontexten

What influence does the weather have on the sales of our beverages? And what can we learn from this for our business? This was the question posed by a global beverage company. The management commissioned STAT-UP with an ambitious project. The aim was to develop a standardised method that could be used, among other things, to mitigate weather risks for the company's own business. STAT-UP received extensive sales data from the customer for the past few years from 13 European co