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Structured data discovery

Every organization must know and protect the personal data involved in the company's business processes. Not only for the strategic advantage that a Data Governance program can provide to the company, but mainly because of the regulatory obligation with the entry into force of the General Law of Data Protection (LGPD).


However, in practice, large companies have in their computational park a great diversity of information systems that use, intensely, hundreds or sometimes thousands of databases that host information in structured format. Not to mention the recent, and growing, replication of data to Cloud environments that make it much easier to build and use this information for analytical purposes and for data science teams.


But how can the company, from the many systems and applications already in place, get a handle on the entire body of information that until then was relatively unknown? The answer is clear: with a good Data Governance program.


The first activity to be performed within this larger goal is data discovery. The component of the LGPD Suite that addresses this functionality is IBM InfoSphere Information Analyzer. It investigates and classifies all existing data assets in given structured data sources, using a set of more than 60 data classes that enable the identification of assets that store personal data or sensitive data.


Unstructured data discovery

Discovery of personal and sensitive data in unstructured data sources is handled by IBM StoredIQ. This component accesses, indexes, classifies and controls files and documents in a variety of formats, stored in the wide range of technologies that support these environments.
IBM StoredIQ supports file servers, mail servers, Ms-Office suite documents, and many others, including the ability to open and index content in files that are compressed.

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