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Data Governance
  • Asset Management

    Asset Management

             
    Grant Rollerson12 days ago
    Asset Completeness - Articulation & Trust
                     

    Hi Looking for similar stories and solutions. Articulation is a great idea. It builds TRUST about an asset, 'at a glance' (perfect to live in the At a Glance side-pane!). The problem is its really limited. It only works on 1) Status value  2) Attribute existence . So, you can't assess it against Roles or Relationships or Validation Results et cetera. We have Trusted Business Reporting  in Marketplace but it doesn't "feel" strategic and isn't a complete fit, not even close.   My thinking at the moment is to 1) Remove Articulation Score from At a Glance (you can do this by removing all A.S. Rules) and then 2) add a local Attribute - something like " Asset Completeness " - and have it be updated via a Workflow, triggered easily enough via asset change &/or schedule. Actually, I build it and it worked quite nicely; run Validation workflow (i.e. refresh Validation) then test the Asset and score accordingly output score to attribute "Asset Completeness" For testing just used mnemonic/textual but of course you could have a fuel gauge or Olympic medals etc. Now ... be nice to be able to put it in the At-a-Glance! Does anyone have any experience of this or input? Cheers Grant Here's a picture of the Swan River

                                           
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  • Data Governance

    Data Governance

             
    Meredith Bailey1 month ago
    The secret to trusted AI? It's your semantic layer
                     

    As we all scale AI initiatives, one question keeps coming up: How do we ensure our AI is trustworthy and not just hallucinating? The secret isn't just better models; it's better data context. That's why we've just published a new in-depth blog post on the most critical component for successful AI: the semantic layer . In this post, you'll learn: A simple definition of what a semantic layer is. Why it has become mission-critical in the age of AI. How it delivers tangible value like true data democratization and trustworthy AI. Check it out and let us know what you think: https://www.collibra.com/blog/the-secret-to-trusted-ai-it-s-your-semantic-layer

                                           
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  • Data Governance

    Data Governance

             
    aniruddha Shinde2 months ago
    Architecture pattern for Data Reconciliation
                     

    Hi , I am working on use case where I have source system as S4/HANA and my target database is SAP Datasphere. I am looking for architecture pattern where my requirement is to figure out data mismatch between Source & target system , the data mismatch could be in terms of no of records count difference , data mismatch between source and target database. Can you please help me how Collibra can help me achieving this my objective. Appreciate your help.

                                           
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  • Data product

    Data product

             
    Aarthi Shankar2 months ago
    Need help with Data Product capability
                     

    Hi, I am new to Collibra and trying to understand how to set up Data Products. Can anyone please help me with that. I did go through the documentation, but I don't think I fully understand it. Any help is much appreciated.

                                           
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  • Announcements

    Announcements

             
    Community_Lauren Papagalos2 months ago
    Collibra named a Leader in the 2025 Forrester Wave™ for Data Governance Solutions
                             

    Collibra is a Leader in the 2025 Forrester Wave™ for Data Governance Solutions. Check out the complete Forrester report to see why Collibra is a Leader. Read the report here

                                           
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