Modern companies and their managers face the challenge of making decisions every day. And the more extensive these decisions are, the more data is included in the decision-making process. This is no problem as long as the required data is complete, correct and available in the required format. But what if decisions require heterogeneous data that first have to be collected, selected, linked and interpreted? Then either sufficient resources are needed and tied up to perform this often labour and time-consuming work. Or data extraction is delegated to specialists who can find relevant data for individual decisions in a short time from a wide variety of sources and in sometimes unmanageable amounts of data and filter it out. In this way, they create the basis for informed decisions and often virtually priceless business benefits.