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Governance Best Practices
  • Announcements

    Announcements

             
    Meredith Bailey6 days ago
    Notifications Reimagined: Slack Integration and Notification Center
                     
    Hey Collibra Community, We're excited to launch two powerful upgrades to bring data governance directly into your workflow: Collibra for Slack and our new Notification Center . This means less inbox clutter, fewer missed tasks and more efficient collaboration. With our new Slack Integration, you can: Receive real-time alerts on mission-critical tasks. Reply directly to comments and assessments from within Slack. Search and share data assets without switching apps. With the new in-app Notification Center, you can: Centralize and manage all platform notifications in one place. Personalize your alerts by frequency, type, and channel (Email, Slack, and soon, Teams!). Star important items so you never lose track of key updates. These new features are all about making data governance more intuitive and efficient.  Want to get started? Head over to our documentation or view our demo video to see the integration in action
                                           
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  • Knowledge base

    Knowledge base

             
    Mudireddy Obulamma26 days ago
    How to achieve Automated process for identifying the Business Terms for Critical Data elements .
                                             
    Can you guys suggests me the approach to identify the Business terms for Critical Data elements in automated way. And also is it possible to generate auto definitions or descriptions for data attributes ,entities and business terms by using Collibra AI or any . Please provide some examples and the process to follow , really it will be needful
                                           
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  • Collibra Tip Tuesday

    Collibra Tip Tuesday

             
    Simla Sivanandan27 days ago
    Supercharge Your Data Documentation with Collibra AI!
                     
    Struggling to keep your data asset descriptions up-to-date? Let Collibra AI take the reins! With Collibra AI, you can: Automatically generate descriptions for Columns, Tables, Database Views, and Data Sets. Bulk-generate column descriptions within a Table asset in just one click. Maintain control - existing descriptions remain untouched unless you choose to update them. This feature is available in the latest UI and is exclusive to cloud environments. Remember, AI-generated descriptions are suggestions - you have the final say to review and approve them. Ready to enhance your data documentation? Dive into the details here: Collibra Product Resource Center.
                                           
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  • Data Quality & Observability

    Data Quality & Observability

             
    emiliawalencik11 month ago
    Asset Quality Page
                             
    Hello there, Can anyone guide me on how to set up the aggregation path and relations to view different charts representing various quality dimensions? I'm failing to do so, I have no idea where I'm making a mistake. This is the quality tab view I currently see: This is the aggregation path I created: This is a traceability diagram:
                                           
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  • Best practices

    Best practices

             
    Julie Prigge2 months ago
    Best Practices for Archiving Assets in Collibra
                     
    What best practices have you implemented to archive obsolete assets? After time, Obsolete assets clutter current assets and our stewardship teams are looking for solutions to archive those into a separate area to keep current assets clean. How have you used Collibra to do this and what policies or procedures have you established?
                                           
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  • Classification

    Classification

             
    allisonwojcik2 months ago
    Classification- Case Sensitivity
                             
    We have started using the classification with regex for Column names. So far the majority has been promising. But we are facing issues with case sensitivity. The documentation points out- You don't need to worry about capitalization in your regular expression because regular expressions are not case sensitive. But we are seeing inconsistencies where columns in some cases are lower case and some are upper case- same spelling. Lower is captured, upper is not? I have opened a ticket. But wondering what others are seeing. Ex. CLIENT_NAME vs Client_Name vs client_name. Both Client_Name vs client_name are classified correctly, but not CLIENT_NAME.
                                           
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