Automated Data Discovery

Find The Data You Need Anywhere In Your Data Landscape, In Seconds.

Discovery Space is a feature within Octopai, a comprehensive data management platform, designed to provide users with a collaborative workspace for data exploration, analysis, and documentation. It serves as a centralized hub where data teams can collaborate, share insights, and gain a deeper understanding of their data assets.

With Octopai's Discovery Space, users can easily explore and analyze data from various sources, including databases, files, reports, and dashboards. This feature enables users to connect to different data repositories and access the underlying metadata, allowing them to gain insights into data structures, relationships, and business logic.

Within Discovery Space, users can perform a range of activities to enhance their data understanding and documentation efforts. These activities include:

1. Data Exploration:
Users can browse and search for specific data objects, such as tables, columns, or reports, across connected data sources. They can examine metadata details, preview data samples, and gather insights into the characteristics and content of the data.

2. Data Analysis:
Discovery Space empowers users to perform data profiling and analysis tasks. They can run queries, perform aggregations, apply filters, and visualize data to uncover patterns, trends, or anomalies within the data.

3. Collaboration:
Discovery Space promotes collaboration among data teams. Users can share their findings, insights, and analysis results with colleagues, facilitating knowledge sharing and cross-functional collaboration. Collaboration features may include commenting, annotations, and the ability to tag and notify team members.

4. Data Documentation:
Users can document their data exploration efforts within Discovery Space. They can add descriptions, annotations, and tags to data objects, providing contextual information and insights for future reference. This documentation assists in building a knowledge base of data assets and fosters data governance practices.

5. Data Lineage Visualization:
Discovery Space may include visual representations of data lineage, illustrating the flow of data from its sources to destinations. Users can explore the relationships and dependencies between data objects, facilitating data understanding, impact analysis, and troubleshooting.

Overall, Octopai's Discovery Space provides a collaborative environment for data exploration, analysis, and documentation.
By leveraging this feature, users can gain insights into their data assets, foster collaboration among data teams, and enhance data understanding and governance practices. With Discovery Space, organizations can effectively harness the power of their data, make informed decisions, and optimize their data management processes.

Systems Section:

1. Search Box
   Searches for any value across the BI landscape
2. Advance Search
   Search values using AND / OR when it comes to a non conclusive term or searching
   for more than one value
3. How Octopai Searches the Value
   Hover over the tag to know how Octopai searches the value

Detailed Level:

1. Column Filter Funnel
   Narrow down the search within a column
2. Export the list to Excel
   Use the information for your own purposes like pivot tables, workload & effort planning, etc.
3. Specific tool search
   Helps to search for a specific term within the open tool