Multi-project management: How companies optimize large amounts of data | Series: Spotlight

In a new article in our "Dataciders Spotlight" series, Stephan Offermann, consultant for cplace at Dataciders, reports on typical challenges faced by companies in the pharmaceutical and automotive industries.

One key problem is the sheer volume of data. Not only does this data need to be compiled completely and accurately, it also needs to be processed in such a way that it enables informed decisions to be made. Stephan shows how our teams of experts help customers to structure data in a meaningful way and make it usable.

Another issue that is becoming increasingly important is adaptability. As business processes are changing rapidly in many companies, flexible software solutions are needed that can quickly adapt to new requirements.

The use of artificial intelligence is also playing an increasingly important role: it helps to analyze extensive data sets efficiently and make them available at the right time.

Using a practical example from the automotive industry, Stephan explains how Dataciders contributed to departmental reorganization with a custom-developed feature. Where manual planning was previously necessary, a configurable solution now saves considerable time. This ensures that planners and controllers can continue to work with reliable financial data and make informed project decisions even after structural changes.