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Improving Data Accuracy: Rules for Common Company Errors

Avatar of Narvin A.Narvin A.
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Q for Clay S. I source my data from Apollo.io & Zoom Info. Common data errors I see which are important to clean up are:

  1. 1.

    Some company names are totally wrong

  2. 2.

    Some sites are down

  3. 3.

    Company domain is different from email domain provided. some wrong email domains will re-route to the company domain, some are subsidiaries and some are totally wrong

  4. 4.

    Some sites are down

Can we set rules for these tendencies?

5 comments

  • Avatar of Channeled
    Channeled
    APP
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    👋 Hey there! Our support team has got your message - we'll be back in touch within 24 hours (often sooner!). If you haven't already, please include the URL of your table in this thread so that we can help you as quickly as possible!

    :arc:1
  • Avatar of Bruno R.
    Bruno R.
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    Hi Narvin, thanks for reaching out. Taking a look at this now.

    :sparkles-clay:1
  • Avatar of Narvin A.
    Narvin A.
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    I haven't created anything yet. SS is from g-sheets

  • Avatar of Bruno R.
    Bruno R.
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    Hi Narvin, I think your use case will be well served by Claygent, our AI web agent. I recorded a video explaining how this would work for your specific use-case: https://www.loom.com/share/ca77e1ef669b4d91afc896e1e8f01f86?sid=6bfd2e46-f6b3-4654-80e6-b81bd34ad06e I hope this was helpful. If there's anything else I can assist you with, please let me know!

    :sparkles-clay:1
  • Avatar of Channeled
    Channeled
    APP
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    Hi Narvin A.! This thread was recently closed by our Support team. If you have a moment, please share your feedback: