Capturing Relationships or links between different data entities

Owned by PS Development
Dec 11, 2023
2 min read

In the realm of data management, the concept of capturing relationships or links between different data entities or records that are part of a 'case' plays a pivotal role. It revolves around the idea of creating and recognizing the connections between various data entities or records that collectively constitute a 'case'. This case could represent a myriad of things, such as a specific project, event, or any subject matter that necessitates the gathering and structuring of related data.

This involves the ability to identify and establish connections between different pieces of data that are related to the same case. For example, all documents, emails, transactions, and activities related to a specific project or client could be linked under one case.

In other solutions this involves linking analysis artifacts—such as reports, charts, or insights—with their originating source data, such as raw intelligence feeds or databases. This connection ensures that every analytical output can be traced back to its foundational data, providing context and validation for the intelligence conclusions drawn.

Key Functionalities for Capturing Case Associations

  1. Linking Related Data: The platform supports identify and link data records that are related to the same case. This could be based on common identifiers, keywords, subjects, or other relevant criteria.

  2. Data Relationship Management: The indexing pipeline identify and manage the relationships between different data entities; including creating, modifying, and displaying the associations.

  3. Metadata Management: Metadata is captured and manage helping to define and understand the associations between different data records.

  4. Search and Query Capability: Enhanced search functionalities facilitate easy retrieval of all data associated with a particular case. This might involve complex queries that can span multiple data types and sources.

  5. Visualization of Associations: Voyager provides visual tools and interfaces that map out and display the relationships between different data entities for easier understanding and analysis.

  6. Integration with Other Systems: Voyager’s pipeline supports integrating with other databases or systems where related data might be stored, ensuring comprehensive capture of all relevant associations.

  7. Audit and Compliance: Tracking changes and access to these associations for audit purposes, ensuring compliance with data governance policies and legal requirements.

Application in Data Governance

  • Enhanced Data Organization: Helps in organizing data in a more structured and meaningful way, centered around specific cases or projects.

  • Improved Data Accessibility and Analysis: By linking related data, it becomes easier for users to access complete information about a case and perform more comprehensive analysis.

  • Support for Decision Making: Facilitates better decision-making by providing a holistic view of all data related to a case.

Voyager is committed to delivering a data governance platform, and enhanced information retrieval solutions, that capture case associations. This supports effectively identifying, managing, and utilizing the relationships between different pieces of data that are related to specific cases. This capability is crucial for ensuring that data is organized and used in a contextually relevant manner, enhancing the overall effectiveness of data governance initiatives.