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Frank Gambino

mhigginbotham

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Overview


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version 9.08.01 includes the following improvements and new features:

  • A new Revenue Center Forecasting screen for both desktop and mobile.
  • An enhancement to the method by which forecast environments are applied.
  • User interface improvements to the Employee Maintenance screen.
  • Improvements to Budgeting functionality.
  • Improved performance and security for Budgeting reports.
  • Improved performance of Time & Attendance reports.
  • Ability to run End of Pay Period Reports for a specified date range.
  • Flexibility to have different flow plans based on special occurrences that affect guest demand for service. 
  • A new Punch Rounding work rule.
  • A new statistical calculation method used in forecasting business volumes.
  • Ability to add day count labels to schedules in the Scheduling screen.
  • Enhancements to the Manage Event Orders screen.
  • Improvements to the Mobile App Time Card.
  • New messages in the Time Clock.

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For more information on the new Revenue Center Forecasting screen, see the release notes on Revenue Center Forecasting screens in desktop and mobile.

Budgeting

Confirmation message when recalculating budget datasets  (13274)

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Note: The confirmation dialog box is not a default setting in WPS in 

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 and must be enabled by UniFocus. To enable this functionality, users must contact their UniFocus Configuration specialist.

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In this release, if a user is logged in to the Budgeting or Revenue modules, only the component with which that user is working is locked. Other users can log in and work with other components. If the session is disconnected and the user logs back in, he or she is prompted they are prompted to clear the lock. This improvement eliminates the need to contact UniFocus Support to unlock the session. 

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In this release, the Past Average method has been replaced with Trend-Adjusted Exponential Smoothing (TAES). Trend-adjusted exponential smoothing TAES is a forecasting technique that uses information regarding 1) average business volumes in the past , and 2) trends observed in volumes in the past (up-swing or down-turn) to develop a forecast of future demand. This new method improves upon the original method and works as follows:

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