Contingent workforce analytics: How to turn VMS data into strategic decisions

Contingent workforce analytics is the practice of applying analytic tools to the data in your vendor management system (VMS) to guide workforce decisions. Most VMS dashboards show spend, headcount, and activity by default. Strategic decisions require going further, to the questions that affect cost, quality, and competitiveness:

• Do you have the right workers in the right roles based on their skills?
• Which assignments are best performed by contingent workers, and which by statement of work (SOW)-based service providers?
• Are your staffing suppliers pricing their workers competitively?
• Are you missing out on savings from supplier discounts?

The sections below answer each one and show which VMS data to use.

Do you have the right workers in the right roles based on their skills?

This can be done if your VMS data captures skills, not just job titles, and lets you see them across departments, locations, and time. Analytics lets you match the skills each role requires against the skills your contingent workers actually bring.

Skills data supports several decisions:

• Core vs. contingent skills. Data on how often, how long, and where a skill is needed shows whether it’s a core skill better served by permanent hires, or one best supplied by contractors, consultants, independent contractors, or even AI agents.
• Hard and soft skills. A contingent worker should contribute from day one, which takes both technical expertise and the interpersonal skills to integrate with the team. Skills data helps you select for both.
• Timing. Alerts on demand patterns and assignment expirations let you act before gaps appear. If assignments are ending in one part of the business just as new requisitions open in another, workers can be redeployed, keeping their skills and knowledge in the organization.

Which assignments are best performed by contingent workers, and which by SOW providers?

Compare cost, performance, and outcomes across both models for similar work. Contingent workers are typically the right choice for work directed by your team, while SOW-based providers are best for defined projects with deliverables, milestones, and a fixed scope.

Your VMS data shows where each model performs better. Once work is under SOW, analytics help you:

• Track milestones to confirm they’re met on time and on budget
• Identify trends across projects
• Measure provider performance

This performance history also gives you leverage for negotiating better pricing on future projects.

Are your staffing suppliers pricing their workers competitively?

Supplier scorecards in your VMS answer this by comparing vendors on quality, cost, and efficiency using the same metrics. Without them, suppliers are often chosen on relationships or habit (“we’ve always used them”) rather than performance.

An effective scorecard tracks key performance indicators (KPIs) such as:

• Quality: how consistently a supplier delivers talent that meets requirements
• Speed: how quickly it fills requisitions
• Cost: the pay rates it offers workers and the bill rates it charges you

The relationship between pay rate and bill rate is the markup, and it varies widely by supplier, industry, job category, and skills scarcity. Markups on scarce skills can run well above those on common roles. Comparing markups across suppliers for similar roles shows who is pricing competitively and who isn’t, and gives you data to bring to rate negotiations.

Are you missing out on savings from supplier discounts?

You may be, if you can’t see whether the discounts in your supplier agreements are actually being applied. Volume, tiered, and other negotiated discounts only deliver value when spend is tracked against them.

VMS analytics helps you:

• Track spend by supplier against the thresholds in your agreements
• Spot gaps where spend qualifies for a discount but the savings don’t appear on invoices
• Strengthen negotiations by combining spend, scorecard, and markup data to show which suppliers earn more volume and which should improve their terms

How does a VMS support data-driven workforce decisions?

A VMS with built-in analytics turns raw workforce data into a strategic management tool. Instead of just reporting what happened, it lets you benchmark suppliers, track spend against negotiated rates, and measure project outcomes in one place.

Beeline Analytics is built for this, with configurable dashboards and KPIs that help you answer the questions above. See how it turns your contingent workforce data into decisions: request a demo.