How To: Understanding Payroll Issues to Improve Performance
Much has been made of data and analytics in recent years, with nearly every service provider promising software updates and capabilities that offer greater analytics to help your operations, whether in global payroll, HR, finance, or another core function. However, there is an important distinction to be made between better reporting and actual analytics.
Reporting is essential for recording end results, seeing whether goals were met, and tracking basic metrics like the total number of payslips processed.
Analytics, in contrast, leverages real-time and in-process data to help users understand when and why errors occur, spot trends over time, and identify opportunities for improvement. CloudPay is committed to providing industry-leading analysis resources to customers, and an integral component to this is our payroll issues dashboard.
In this brief how-to video, we’ll walk you through the dashboard, demonstrating how users can track the total number of issues during payroll processing, and even identify precisely when and where the problems occurred. You’ll see how users can then go deeper into the data, identifying issues by country, by region, by type—and even discover the root cause of the issue, right on the screen.
These advanced metrics help tell the true story of your global payroll performance, and enable your team to partner with CloudPay in identifying opportunities for real, long-term improvements that will elevate the accuracy and efficiency of your payroll process and results.
See what else you can do to better understand and improve your overall global payroll process and results by viewing the rest of our how-to video series, including Do More with Your Gross-to-Net Data, Setting Tolerances for Faster Data Validation, Benchmarking Your Payroll Performance, and more.
And for additional insight into trends and opportunities in global payroll and HR today, check out Payday, the Global Payroll Podcast. Now available on all leading podcast platforms, including iTunes, and at paydaypodcast.net.