Skip to main content

Release version 7.1.0

Release version 7.1.0 includes new features, improvements, and bug fixes.

Skypoint Dataflow:


  • Added IsolvedHcm import connector - New connector support added for IsolvedHcm in Dataflow > imports. Users can import data from IsolvedHcm tables to the Skypoint platform through a new connector support feature.


  • Display data lineage for transformation model - Data lineage is visualized as a Directed Acyclic Graph (DAG) of relationships between models in a dbt project. It represents the flow of data and transformations from the source table through the intermediate steps of data preparation in the models. This simplifies the understanding of the data pipeline and helps troubleshoot issues.
Skypoint Resolve:
  • Added support for Resident 360 - Resident 360 in Master Data Management (MDM) involves creating a comprehensive view of the residents. It provides complete and accurate information about the residents by integrating data from all relevant sources within an organization. You need to perform the activities in the following sections:
    • Types (add semantic labels)
    • Map (map tables and attributes)
    • Unify (add the master data type)
    • Profiles (select the master data and view profile details)

Skypoint Predict:

  • Categorization of topic modeling – Topic modeling categorization in Skypoint Studio allows you to organize the results of the topic modeling into custom categories. You can drag and drop the topics into categories, and these categories get updated. You can add a maximum of ten custom categories by clicking on the '+' icon.
  • UI changes for product recommendation model – The "Run inference" option is removed from the product recommendation model due to upgradation of Databricks runtime to 11.3 LTS for ML model pipelines.
Settings and administration:
  • Conversation mode for SkyPointGPT - SkyPointGPT supports conversation mode, stores and retrieves all conversations, and generates current results based on previously asked prompts and results within the chat. Also, users can give feedback using "Like" and "Dislike" icons.