Over time, information changes in complex ways. For example, the classification of products into product groups or the pricing ranges of products by target group, sales channel, discount system and much more.

Business units are already planning future prices and price ranges, restructuring product groups, such as for own product groups with discounts for "Black Friday". This information can and is stored in the systems long before it is valid in reality.

In this session Dirk Lerner will give an insight into bitemporal data use cases and why they are important and fundamental to today's business requirements. Afterwards he visualizes the procedure of bitemporal historization of data using a simple example. Finally, Dirk presents the available technologies that have already implemented a (bitemporal) historization of data.