Live Analytics

Forecasting for the future

Knowledge of the past and experience is no longer sufficient in today’s supply chain. Rather, planners need to have information about previous developments and events available live in the decision-making process—situationally and purposefully designed to answer technical questions. This requires the identification of trends, the calculation of probabilities, and the recognition of relationships between variables. Our technology makes it possible to quickly process data volumes from different sources. Using the relevant data, flexis Live Analytics captures correlations and patterns. Existing correlations are recognized and the actual situation is analyzed. The resulting findings form the basis for future updates.

Evaluate data in a structured way

flexis Live Analytics provides agile and quickly adaptable Business Intelligence functionalities within planning processes. Data is stored in-memory and enables the user to view and analyze it from different perspectives—even across multiple dimensions. Even very large data volumes can be processed quickly and efficiently.

flexis Live Analytics opens up new possibilities for real-time data evaluation through search patterns, regular expressions (RegEx), and statistics libraries. In addition to the analysis and updating of events along the supply chain, flexis Live Analytics allows the user to show and secure the link, for example to the start-up of new products. It is also possible to separately examine individual aspects such as the development of specific buyer groups.

Application and features

Live Analytics can be used for demand analysis, e.g. to identify market trends or to calculate demand based on volume programs and feature probabilities. It includes proactive congestion management based on potential events in the supply chain. With Live Analytics, patterns and relations can be detected automatically. The system integrates standardized libraries and thus offers users the ability to map the logic of Boolean algebra. Furthermore, the use of the R programming language allows the creation of forecasts and statistics.Live Analytics can be integrated into different IT landscapes without problems. If desired, the user can even define and analyze different option values.