Identify and visualize your data within a data catalog, improve your understanding, governance and security… and unleash the full potential of your data assets!
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More InformationA 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.
Wolfgang Wiesner
CTO
Build a trustworthy data foundation to enable AI-driven automation and reliable decision-making
A data catalog proves its value wherever teams struggle to find, trust or share information. Typical use cases include self-service analytics, where business users locate reliable data sets without IT support, and regulatory audits, where a data catalog documents the origin and processing of personal data. It also accelerates cloud migration projects by providing a complete inventory of all data sources before systems are moved. 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. In every scenario, the catalog turns scattered data into an accessible asset.
Wolfgang Wiesner
CTO
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. The core role of a data catalog is to create transparency: it answers the questions of what data exists, where it is stored, who owns it and how it may be used. This transparency delivers measurable benefits, including faster data discovery, reduced duplication of data sets, and lower compliance risks. Analysts spend less time searching for data and more time generating insights that support business decisions.
Wolfgang Wiesner
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 SoftProject platform modules to provide a solution for the entire data cycle, from identification to urbanization, governance and movement through processes.
Execute business processes with speed and reliability.
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dataspot — Metadata Management & Data Lineage
dataspot adds metadata management, lineage, and data quality impact visibility, showing where data Quality is measured and how issues propagate across the data Landscape
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Tools such as data catalogs, data lineage, data discovery, data quality analysis, master data management, a data repository, visualization and reporting are examples of tools for ensuring data quality.
The desire to tackle the dark data issue head-on comes up against numerous difficulties: the sheer volume of data involved, the lack of the necessary skills and availability of resources, the difficulty of coordinating teams between departments… Fortunately, solutions are now available to help organizations tackle the problem effectively. The data discovery platforms on offer make it easier to map the content of data assets, and to spot “cold data” more easily.
Data quality is crucial for informed decision-making, performance analysis, customer understanding, innovation and process optimization.
Data quality includes the accuracy, reliability, consistency and relevance of information to its intended use.
Users can easily find the information they need using keywords, tags and classifications. What’s more, metadata is automatically enriched using AI and machine learning, enabling entities to be identified, subjects to be classified, and contextual information to be added. With MyDataCatague, you benefit from a 360° view of your data, a better understanding of its structure and relationships within the organization, for easier analysis
Users can easily find the information they need using keywords, tags and classifications. What’s more, metadata is automatically enriched using AI and machine learning, enabling entities to be identified, subjects to be classified, and contextual information to be added. With MyDataCatague, you benefit from a 360° view of your data, a better understanding of its structure and relationships within the organization, for easier analysis.
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.
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