Data Glossary & Data Catalog

The centrality of data in business process management has led to a proliferation of Data Management initiatives, often dictated by contingencies and without a coherent vision.

Misunderstandings between IT and Business generate conflicting relationships that, especially in the most complex realities, can cause the Shadow IT phenomenon. This means the creation of Information Silos and duplication of information, increasing costs and decreasing Data Quality.

The importance of data (not only personal data) has come to the attention of national and supranational government authorities and criminal organizations; the lack of knowledge of Data Assets and data management processes can lead to a compliance deficit, with deleterious effects in terms of economics, security and image for companies.

• Bringing order to the Data Repository is the objective of adopting a Data Catalog, while the Business Glossary enables the entire company to be made aware of the available information assets.
• The Business Glossary typically consists of a hierarchical structure, in the definition of which a multidisciplinary team participates: IT, Business, Compliance.
• The Data Catalog, on the other hand, can be fed manually, alongside project documentation, or automatically by crawling through Data Repositories.
• The linking of Data Catalogues and Business Glossaries allows the semantic meaning to be assigned to the data. This linking can also be done manually, or automatically by applying rules on Data and Metadata (Data Classification)

In the following example Quantyca supported a customer operating in the utilities market in the implementation of a Data Governance programme.

Blindata Platform collects metadata by crawling from the different storage components of the Data Platform (AWS Aurora, AWS Redshift, Hive, TDV).

Data Quality probes monitor the data residing on AWS Redshift, AWS DocumentDB, TDV.