It is typical for complex business applications that an efficient execution of tasks highly depends on the user’s experience. By monitoring the user’s behavior it is possible to support the learning progress, to avoid inefficient use, or to allow an early detection of misuse. USU Software AG intends to utilize the SAKE platform for monitoring, scanning, analyzing, and visualizing large-scale historical data as well as streaming data to provide an appropriate guidance of the user.
Central requirements are among others:
- Learning of efficient task processing based on the profiles of experienced users.
- Predictive failure detection and prevention.
- Automatic generation of optimal user actions.