Our Approach
Predictive Analytics
The combination and processing of data from different sources creates completely new possibilities. These include, for example, maintenance logs, images, videos, sensor recordings and other sources in addition to transactional information. The combination of existing data with, for example, weather and environmental data builds new information services.
AI-based Tools
Artificial intelligence tools enable novel processing of these data and sources and allow value-added use of the knowledge generated from the analysis for the automation of tasks in your daily operations.
Data Mining and Machine Learning
Historical data, real-time information, statistical models and methods from the field of data mining and machine learning can be used to generate insights into current and future process and data characteristics. For example, methods for regression and classification such as algorithms for netural networks, Markov chains, decision trees or support vectors are used.
Precise Predictions
The focus is on examining individual behaviour and current needs. By further interpreting the insights gained in the predictive analysis as a basis for action, data flows are better understood. In addition, influences or customer feedback can be evaluated to optimise future offers.
Adaptability
The AI technologies and functions used can be adapted to the individual data situations and needs of providers, operators, municipalities and user groups.
Better Capacity and Sales Planning
The AI technologies and functions used can be adapted to the individual data situations and needs of providers, operators, municipalities and user groups.
Benefit from
- Integration and digitalisation of existing knowledge
- Reduction of risks and failures
- Real-time reactions to daily influences and anomalies
- early planning and scenario analyses
- Reliable and transparent recommendations for action
- Reduced workloads for decision-makers
- Integration possibilities in existing systems
