Features
Below are some of the features we are continuously adding new features so do keep checking
Key Features and Benefits:
Data Cataloging with Metadata Extraction:
Connectors to diverse data sources allow the VDA to perform efficient data cataloging. It automatically extracts metadata from these sources, providing analysts with a comprehensive view of available data assets.
The ability to understand data context enables analysts to make informed decisions and facilitates effective collaboration across the organization.
Assistive Templates for Data Modeling:
The VDA offers a collection of intelligent data modeling templates that can generate code for various analytical tasks. These templates significantly reduce development time and minimize the need for manual coding.
Additionally, analysts can leverage the VDA to generate metadata documentation automatically, ensuring that the analytical process remains transparent and well-documented.
NLP-Powered Dashboard and Chart Creation:
With the VDA's natural language processing (NLP) capabilities, analysts can effortlessly create interactive dashboards and charts. By simply providing key performance indicators (KPIs) in plain language, the VDA transforms them into visually appealing and insightful data representations.
This feature simplifies data visualization, making it accessible to analysts with varying levels of technical expertise.
Workbook Collection:
Document Workbook: Allows analysts to query documents using natural language. The VDA interprets user queries, swiftly retrieving relevant information from documents and presenting it in a structured manner.
Query Workbook: Facilitates SQL query writing for analysts through text-to-SQL functionality. Analysts can express their intentions in natural language, and the VDA automatically converts it into SQL code, ensuring accurate and efficient querying.
Expectation Workbook: Empowers analysts to perform data validation effortlessly. The VDA provides a range of expectations, enabling users to validate data against predefined criteria, enhancing data quality and accuracy.
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