Data-Driven Business

Data analytics is present in many organizations today, but is often limited to visually appealing reports, as they were used in financial controlling 20 years ago.

In the course of digital transformation, however, data analysis goes beyond transparency: used correctly, it forms the basis for data-supported process automation. AI models can not only measure customer emotions in digital communication, but also independently recommend solutions for specific problems. For example, customer inquiries can be answered automatically or prices adjusted dynamically.

The added value of data analytics lies in data-driven applications that evaluate complex situations in real time. “Advanced analytics” uses AI to process data in such a way that it is immediately relevant for action. MORESOPHY stands for actionable analytics in knowledge processing, especially for the automation of communication and testing processes with large amounts of data.