ESUP HRMS Project Work Stream
Vision and Principles

The HRMS upgrade project vision and principles were developed in Spring 2012 at the beginning of the Enterprise Systems Upgrade Program (ESUP), and continue to guide the HRMS system design, consultation, decision-making, change management, communications, and training.

HRMS Project Work Stream Vision
  • Develop a robust system to meet core University needs in the areas of employment records management, benefits administration, and payroll processing
  • Effectively integrate with other business units to support University responsibilities
  • Provide state-of-the-art functionality to support the complex environment in which the University operates
  • Improve business processes for the benefit of the overall organization
  • Provide easily accessible reporting to support decision-making at all levels of the University
  • Provide a user-friendly and intuitive system
  • Ensure easily-managed, consistent, and accurate data


Operating Principles

  • Understand the value and uses of HR data: maintain only useful enterprise data at the enterprise level
  • Simplify and clarify policies and rules at all levels and reduce redundancies across the system
  • Reduce system support costs and streamline business processes by utilizing PeopleSoft delivered functionality when possible
  • Identify and resolve repetitive systemic errors and eliminate costly work-arounds
  • Leverage the system to maximize value-added functionality; ensure the system has sufficient flexibility to adjust to future needs or different levels of risk management
  • Adopt common definitions that are consistent across the system (e.g., primary role), and require use of those definitions
  • Design reporting and data entry to the mainstream workforce, and reduce exceptions in the system to ensure a high level of data integrity
  • Hold business process owners accountable at the appropriate level for "clean" PeopleSoft data (i.e., data entered into PeopleSoft should be entered by individuals trained to specific standards) 
  • Perform work, including data entry, at the level that optimizes accuracy, functionality, and performance
  • Ensure alignment with all other work in the area of metrics and reporting, especially Institutional Research
  • Retain and produce data to ensure legal compliance, to measure OHR against best practices and strategic goals, to support decision-making at all levels of the University, and to produce meaningful reports for oversight