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Karyn (Foundation, Australia)

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  1. 65 votes
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    Karyn (Foundation, Australia) commented  · 

    The implementation of fuzzy matching or partial matching should be considered a critical development priority. This feature would significantly improve both time management and data cleanliness by streamlining the identification of similar or related records, even with minor discrepancies. This would reduce the need for manual review and correction, leading to more efficient processes and higher quality data. Additionally, for Australian customers, the ability to process AUS/NZ address formats is essential to ensure accurate and reliable data handling.

    Karyn (Foundation, Australia) supported this idea  · 
  2. 114 votes
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    Karyn (Foundation, Australia) commented  · 

    This development should be top priority. The current limitations in Omatic Cloud's address processing are causing significant inefficiencies and additional clean-up work for our organisation. We need advanced address processing to address data integrity concerns, enable historical tracking, and eliminate manual workaround. Additionally, for Australian customers, the ability to process AUS/NZ address formats is essential to ensure accurate and reliable data handling

    Karyn (Foundation, Australia) supported this idea  · 

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