Cataloging and classification of data are especially important today. We observe massive rise in volumes of data gathered by most organization and their use for ever deeper analyses and correlation seeking.
Knowledge about what data is in the possession of the organization, where it comes from, how it is processed, where it is stored, who is responsible for it, gives analysts in the relatively young field of data science an opportunity to save a lot of time for data searching and information about its availability. The saved time analysts will be able to spend on insightful, in-depth analyzes having a direct impact on increasing the effectiveness of the company's business activities. The essence of modern business is to use the full potential of the data as soon as possible (the so-called indirect data monetization).
Where do we employ data cataloging?