🚀

Release note - KAWA 1.27

1) Main Features

1.a) Enhanced Sharing for Dashboards, Datasources, and Sheets

We’re excited to introduce enhanced sharing capabilities, giving you more control over who can access and edit shared objects, such as Dashboards, Datasources, and Sheets within your workspace.

Here’s what’s new:

Updated Sharing Options

You can now share objects with specific teams and assign either VIEW ONLY or EDIT access to each team.

Additionally, you can define general access for all other members of the workspace:

  1. RESTRICTED: Only specified teams can access.
  2. VIEWER: Anyone in the workspace can view the object.
  3. EDITOR: Anyone in the workspace can edit the object.

These new options provide greater flexibility and security in managing access to your shared objects.

image

Permission Details

  • VIEW ONLY: Members can see the content but cannot make changes.
  • EDIT: Members can view and modify the content.

If you belong to multiple teams, you’ll receive EDIT access if at least one of your teams has been granted EDIT permissions for an object.

Changes for Sheets and Views

  • Edit Permissions for Shared Views: Users with EDIT access on a Sheet now have full control over all shared views of that Sheet. This includes the ability to publish views, which was previously only available to the Sheet owner.
  • View-Only Access for Sheets: Teams with VIEW ONLY access to a Sheet can see and temporarily modify views but cannot publish changes. They’re also restricted from editing certain configurations within the Sheet, improving control over shared content.

1.b) New AI Co-Builder Feature (beta)

We’re excited to introduce KAWA’s AI Co-Builder, a new feature designed to help you rapidly create custom data applications.

You can access it from the “Data sources” home page:

image

Steps:

  1. Step 1: Describe Your App and Prepare Your Data

    2. Simply describe the app you want to build and choose whether to use existing data or generate synthetic data with AI to get started.

  2. Step 2: Select Formulas

    3. The AI recommends relevant formulas based on your data to enhance your app’s functionality.

  3. Step 3: AI-Generated Python Algorithms

    4. AI suggests Python algorithms to detect advanced behaviors and automatically generates the necessary scripts for you.

  4. Step 4: Set Up Automations

    5. Create automations to trigger alerts, ensuring your team is notified whenever key events occur.

  5. Live App

    6. Once your app is ready, it goes live immediately. You can start interacting with the data, generating charts, and applying filters.

Please find below a video presenting how to create a Market abuse surveillance app with the AI co builder feature:

2) Improvements

This release comes with many bugfixes and a few major improvements:

  • Fix of date/datetime handling with ClickHouse
  • Ability to connect to tables in other ClickHouse databases