Self-service data discovery
Self-service data discovery (SSDD) is an approach that enables users to independently find, understand, and use relevant data.
SSDD platforms provide users with an intuitive interface and easy-to-use tools that enable them to search, filter, visualize, and analyze data.
Self-service data discovery is a powerful tool that can help companies and organizations take better advantage of their data. SSDD can result in faster decision making, improved collaboration, and greater data transparency.
Benefits of Self-Service Data Discovery
- Democratizing data: SSDD enables everyone in the company to use data, regardless of their technical expertise.
- Speed up decision making: Users can quickly and easily find the data they need to make informed decisions.
- Increasing data transparency: SSDD promotes a better understanding of the data available in the company.
- Improving collaboration: Users can easily share data with others and analyze it together.
- Reduce costs: SSDD can reduce reliance on IT professionals in data analysis reduce and thus save costs.
Features of self-service data discovery platforms
- Search function: Users can search for data using keywords, metadata or search for other criteria.
- Data visualization: Data can be visualized in various formats, such as charts, tables, and maps.
- Data analysis: Users can filter, aggregate, and analyze data to identify patterns and trends.
- Collaboration: Users can share data with others and analyze it together.
- Data security: SSDD platforms must have features to ensure data security and data protection.
More information
- https://www.gartner.com/en/information-technology/glossary/self-service-analytics
- https://www.ibm.com/docs/en/order-management?topic=platform-accessing-self-service
Note: Our team benefited from the support of AI technologies while creating and maintaining this glossary.
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