The previously described core services, horizontal services and use cases are all data intensive and produce large quantities of user data (“Who has used which service, when, where and how?”). For the purpose of the analysis and optimization of marketing, business models, user interfaces, quality of the software and data, this user data (monitoring data) is collected for longer periods and is temporally analyzed with BI tools (trends, patterns, correlations). Particularly with mobility services, the geographical reference of events and the recognition of movement patterns in the analysis is of great importance. Present algorithms and database architectures reach their limits with very large datasets, so that current worldwide database research takes places under the heading of geospatial big data exploration.
TP5.1: Integration Platform for Temporal Geographic Data
TP5.2: Geospatial Big Data Exploration