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Papaya Brings AI to Cut HCM Data Syncs to One Day

Global payroll is a complex and challenging process, largely because so much of it has been handled manually for so long. And itu2019s not just the calculations of salaries, taxes, and benefits. Itu2019s all the moving parts of the process that make payroll the connection between all workforce management tools, particularly the data sync between your HCM and your payroll software.<br>read more @ https://hrtechcube.com/ai-cuts-hcm-syncs-to-one-day-with-papaya/

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Papaya Brings AI to Cut HCM Data Syncs to One Day

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  1. PAPAYABRINGSAITOCUTHCM DATASYNCSTOONEDAY Saygoodbyetopayrollsyncfrustrations.Papaya'sAI-poweredHCMCloudConnectorcutsdatasyncstoone day,bringingefficiencyandaccuracytoyourglobalpayrollprocess. hrtechcube.com

  2. Global payrollisa complex and challenging process, largely because so much of it has been handled manually for so long. And it’s not just the calculations of salaries, taxes, and benefits. It’s all the moving parts of the process that make payroll the connectionbetweenallworkforcemanagementtools, particularly the data sync between your HCM and your payroll software. TheHR-payrolldatasyncshouldbeautomatic.Butinreality, it’soneofthemostfrustratingpartsoftheprocess. Welearnedfromasurveyofpayrollprofessionalsthattheir HR-payrollsyncfailsabout15%of thetime.Andthat’seven withsomelevelofautomationconnectingthem. The reason is that automation is not really sufficient for the task. Payroll managers still need to identify and organize the HR datafields they will import. They choose categories like bank data, salaries, attendance, etc. Then they need to match software formats so that the data comes out just right. hrtechcube.com

  3. AIComestotheRescue AI must fill the gap in automation. And with Papaya’s HCM Cloud Connector, that’s exactly what’s happening. With our AI-driven HCM CloudConnector,allyou have todo isimplement a one-time mapping through the self-service interface, a process that can be completed in as little as one hour. That’s a 90% decrease in data implementationtime. And that might also be a conservative estimate. There are cases in the industry today when implementation takes as long as a year. In tech terms, that’s a near eternity. By the time it’s ready to use, it’s obsolete.Sogoingfrom oneyeartoevenasingledayisareasonto celebrate. hrtechcube.com

  4. ThankYou

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