Workforce Management Spend & Process Analysis


Understanding the current state of your contingent workforce management program—whether you are just starting or ready for expansion—is critical. So is having the right insight and expertise to move your program forward.

Knowing your contingent workforce management (CWM) program’s strengths and gaps is vital to getting the greatest value from your extended workforce today. It is also critical in planning strategically for your program’s future, including:

  • Deploying the right technology solution
  • Anticipating business and regulatory changes that will impact your Vendor Management System (VMS) configuration
  • Maintaining proper alignment of systems, processes, and procedures to meet your program goals

Today, an estimated 25 to 35% of the average company’s overall workforce is considered contingent. Research and advisory firm Ardent Partners predicts that by the end of 2020, nearly half of the total global workforce will consist of contingent workers.

Our Strategic Solutions team offers value-added services that can help you:

  • Improve processes
  • Mitigate risk
  • Significantly reduce program costs
  • Optimize system design and VMS configuration

With the right tools and insight to optimize your contingent workforce, you can more effectively meet changing and growing project and business requirements.

Our Spend and Process Analysis assessment helps you establish a baseline for your extended workforce program, whether you are launching a program or ready for expansion. Spend and process insights help you define and enhance your overall program quality and accelerate value realization.

Ensuring that your VMS is closely aligned with your program objectives will enable you to deliver greater program value across your organization. Outcomes of the Beeline spend and process assessment include:

  • Benchmark findings compared with best-practice benchmarks from our client community
  • Summary of process and spend control opportunities and recommendations
  • ROI model of potential benefits based on typical deployments
  • Recommended course of action
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