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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).

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Where do we employ data cataloging?

Increasing the speed of work in the Data Science area by sharing knowledge combining available data and business terminology

Risk management; by identifying sensitive data and personal data in the systems and the compliance of their processing with applicable regulations

Verification of the compliance of unstructured data processing with the company's security policies, in particular IT security policies

Where do we start and where are we heading?

WE DEFINE POLICIES, RULES AND BUSINESS TERMINOLOGY

WE CLASSIFY DATA AND ASSIGNING DATA OWNERS

WE IMPROVE DATA CONSISTENCY AND QUALITY

WE PROVIDE A COMPLETE SET OF BUSINESS INFORMATION