Data Points

๐Ÿ”— Data Point Overview

Data Points are relational connections between a field in one Kube and another field in a different Kube. This relationship allows for the search and visualization of all mapped data between the two Kubes, making data analysis more integrated.


Data Points Screen


๐ŸŒŸ Key Functions of Data Points

  • Relational Connections
    Data Points establish connections between fields in different Kubes, helping ARPIA create a comprehensive and holistic view of all available data.

  • Data Correlation
    By identifying relationships between different data models, ARPIA is able to access and manage interconnected data more effectively, improving analysis.

  • Artificial Intelligence Integration
    Data Points enhance the capabilities of DataAI by enabling ARPIA to extract insights and generate value from interconnected data using AI-driven analytics.


๐Ÿ“Š Visualization and Dashboards

Data Points play a crucial role in building Dashboards:

  • When creating a filter using one of the Kubes where a Data Point exists, you can apply this filter across the entire dashboard.
  • If the dashboard contains both Kubes connected by the Data Point, the filter will automatically apply to data from both Kubes, ensuring a unified view of the data.

By leveraging Data Points, ARPIA enhances data interconnectivity, allowing for more effective data visualization, filtering, and AI-driven analysis across Kubes.


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