A data catalog is a centralized registry that organizes and documents an organization’s data sets for easy discovery and use. It is essential for controlling the quality of the data present in your data assets, as well as “dark data”. In other words, the information assets that organizations collect, process and store in the course of their day-to-day work, but then no longer use… 50% of dark data makes up the world’s data assets: no less than 52% according to Statista, and up to 65% according to the Digital Decarb website. Logically, for informed decision-making, it is essential to rely on data that is correct, complete, up to date, coherent and understandable to all. This requires the implementation of a specific approach and tools, which can be found in the Data Catalog.
A data catalog enables you to manage your data efficiently, making it easier to discover, understand and use, while guaranteeing compliance and security. To achieve this, there are several essential stages: data scanning, analysis, classification, visualization, distribution and compliance.
Through audit probes of your structured or unstructured data sources (databases, Data Lakes, business APIs, Data Visualization or Data Lineage software, Data Catalogs, CSV files, messaging systems, etc.), a Data Catalog must be able to automatically extract knowledge from your data (through metadata and data analysis), thus facilitating research into your information assets within your organization. Metadata can be enriched manually by users in a collaborative way, or automatically thanks to Artificial Intelligence technologies (Machine Learning). This is the case, for example, with entity extraction or subject classification.
Finally, a central console for visualizing data assets will provide a 360° view, and the intuitive search interface will enable users to prospect for data by keywords, tags, classifications, etc. In this way, a Data Catalog represents a tool-based part of data governance, orchestrating and ensuring compliance with predefined organizational measures for each data processing activity.
Until recently, governance and data protection were seen as two independent objectives. But since the RGPD came into force, and driven by strong demand from individuals and organizations, data controllers must respond to the increased need for data protection while also meeting growing demands for transparency about how data is collected, aggregated, used and shared. To achieve these objectives, data controllers need to adopt solutions capable of better protecting data, and providing detailed reports on the use of this data with data mapping tools in particular.
By mapping and cataloguing all the data present within an organization, you can regain control of your data assets, while limiting the risks of security, non-compliance and poor information quality.
With the explosion in data volumes, it is becoming increasingly difficult to organize, secure and optimize the use of data. Knowledge and enhancement of data assets are increasingly important issues for CIOs, DPOs and CISOs. They are reinforced by numerous factors such as the RGPD, cybersecurity, digital sobriety, business processes exploiting data, the desire to make a data portal available or Open Data policies.
MyDataCatalogue is the Phoenix platform module dedicated to mapping and cataloguing your data assets. MyDataCatalogue enables you to manage your data efficiently, making it easier to discover, understand and use, while ensuring compliance and security. With MyDataCatalogue, identify, understand and visualize your data within a data catalog, efficiently and collaboratively!
MyDataCatalogue functions combine with other Phoenix platform modules to provide a solution for the entire data cycle, from identification to urbanization, governance and movement through processes.
With its Data Catalog and Data Discovery functions, MyDataCatalogue lets you define data access policies to ensure that only authorized people can view or modify sensitive information.
With regular, automated audits, ensure your compliance with data protection regulations, such as the RGPD, by easily identifying and documenting data sources.
Data modifications and accesses are traced, facilitating internal and external audits and ensuring complete transparency of data operations.
Data Discovery features automate metadata extraction and analysis, enrich data with AI, and offer an intuitive search interface for a 360° view of information assets.
You create a common knowledge base, enriched and accessible to all, enabling uniformity of the data used throughout the organization. You base your strategic decisions on controlled information, and reduce the risk of misinterpretation.
