Workforce analytics software helps you understand who works at your company, what they do, and why they stay or leave.
But most guides ranking these tools don’t actually help you choose. They list ten tools in a table, give each one a generic star rating, and move on.
The problem is that workforce analytics covers a lot of ground. Headcount planning is different from attrition prediction. Skills gap analysis is different from pay equity audits. The tool that’s great at one might be useless for another.
This guide breaks workforce analytics into four use cases: workforce planning, attrition and retention, skills and mobility, and DEI and pay equity. Within each, we look at which tools fit SMB (under 200 employees), mid-market (200 to 1,000), and enterprise (1,000+) teams.
Every tool mentioned has been verified against its official website and pricing page as of 2025-2026.
What Workforce Analytics Software Does With Your Data
Workforce analytics software pulls data from your HRIS, payroll, ATS, and engagement tools to show you patterns in your workforce.
The key word is “your data.” These tools don’t generate insights from nothing. They work with what you feed them.
If your HRIS has duplicate employee records or missing hire dates, your analytics will be wrong. If your payroll system and HRIS don’t sync, your compensation reports will have gaps.
Before buying any tool, audit your data sources. Clean data in a basic tool beats messy data in an expensive one.
Workforce Planning and Headcount Analytics Tools
Workforce planning answers questions like: How many people do we have? What does it cost? What happens if we add 20 people to engineering?
These tools focus on org chart visualization, headcount trends, cost overlays, and scenario modeling.
ChartHop
ChartHop is a people analytics and workforce planning platform.
Their website (charthop.com) shows quote-based pricing at scale, with startup pricing available. Third-party sources indicate starting pricing around $3 per user per month for smaller teams.
ChartHop’s analytics include org chart visualization with headcount and cost overlays, workforce composition analytics, compensation management, and scenario planning.
They’ve added an AI feature called “Ask ChartHop” that answers natural language questions about your people data.
ChartHop integrates with Workday, ADP, Greenhouse, and BambooHR.
For SMB and mid-market teams, ChartHop is the most affordable way to get into workforce planning. The org chart with cost overlays lets you model what happens to your budget when you add or remove roles. If you need deep attrition analytics or TA pipeline reporting, you’ll need something else.
Workday
Workday is an enterprise HCM platform with analytics built in.
Pricing is quote-based and enterprise-scale. Advanced features like Workday Prism Analytics and Workday People Analytics may require additional licensing.
Workday’s workforce analytics cover headcount trends, distribution, hiring, turnover, compensation, absence, and DEI. Prism Analytics lets you bring external data into Workday for analysis that combines HR and financial data.
Workday also offers predictive models for attrition risk.
For enterprise teams (1,000+ employees), Workday handles complexity that mid-market tools can’t. The cost is implementation time, which typically takes months, and the need for a dedicated team to configure and maintain the analytics.
Visier
Visier is a dedicated people analytics platform.
Pricing is quote-based, typically per employee per year. Visier does not publish public pricing.
Visier’s workforce planning tools include headcount analytics, workforce composition, scenario forecasting, and cost analysis. They also cover attrition, compensation, skills, engagement, and DEI in the same platform.
Visier integrates with Workday, SAP SuccessFactors, ADP, and Oracle.
Visier is what you buy when your HRIS reporting can’t answer leadership’s questions. It goes deeper than any HRIS out of the box. The catch is implementation. Visier requires data modeling, integration setup, and ongoing configuration. Budget for the people to run it, not just the platform.
Attrition and Retention Analytics Tools
Attrition analytics answers: Who’s leaving? Why? Who’s at risk?
These tools track voluntary vs. involuntary turnover, attrition by tenure and department, and predictive risk scores. If you are still calculating this by hand, our guide on the employee turnover rate and how to calculate and improve it is a useful starting point.
Visier (for Attrition)
Visier’s attrition analytics are among the deepest in the market.
The platform tracks attrition by tenure, role, location, manager, and performance. It offers predictive models that flag employees at risk of leaving based on patterns like compensation changes, manager transitions, and tenure.
For mid-market and enterprise teams, Visier’s attrition module is worth the investment if turnover is costing you money. For SMB teams under 200, this level of prediction is usually overkill. A basic turnover report from your HRIS will do.
SAP SuccessFactors
SAP SuccessFactors is an enterprise HCM suite that includes a Workforce Analytics module.
According to their website (sap.com), pricing is quote-based. You request a quote based on your company size, modules, and deployment scope.
SAP SuccessFactors Workforce Analytics covers workforce metrics like headcount, turnover, and composition. It also includes talent analytics for recruiting and retention, plus standard and custom reports.
The platform integrates with SAP SuccessFactors Employee Central as the core HRIS, but also connects to other systems.
SAP SuccessFactors makes sense if you’re already in the SAP ecosystem. The analytics module adds workforce reporting on top of your existing HR data. If you’re not already using SAP, the implementation scope is heavy for a standalone analytics play.
Workday (for Attrition)
Workday’s attrition analytics are part of its core HCM platform.
You get turnover reports, absence analytics, and predictive attrition risk models. The data comes from your Workday HRIS, which means it’s always current.
For enterprise teams already on Workday, the attrition analytics are included in your platform. You don’t need a separate tool unless you want deeper prediction than what Workday offers out of the box.
Skills Gap and Talent Mobility Analytics Tools
Skills analytics answers: What skills do we have? Where are the gaps? Who can move into new roles? This kind of visibility connects directly to improving employee retention through skill development programs.
This is a newer category. Most HRIS platforms don’t do this well.
Eightfold AI
Eightfold AI is a talent intelligence platform focused on AI-powered skills matching.
Pricing is quote-based and depends on modules selected (recruiting, internal mobility, skills intelligence, workforce analytics).
Eightfold uses AI to infer skills from resumes and profiles. It matches candidates to jobs, recommends internal career paths, and identifies skills gaps across your workforce.
The platform integrates with Workday, SAP SuccessFactors, and Greenhouse.
Eightfold is different from the other tools here because it’s not an ATS or an HRIS. It’s a talent intelligence layer that sits on top of your existing systems. If you have thousands of employees and want to match internal people to open roles, Eightfold does something the others can’t. If you just need headcount reports, it’s the wrong tool.
SAP SuccessFactors (for Skills)
SAP SuccessFactors includes talent management modules that cover performance, learning, and career development.
When paired with Workforce Analytics, you can track internal mobility rates, promotion patterns, and skills coverage by role. Staying current on skill assessment trends that enterprises need to know helps you frame what these numbers should tell you.
For enterprise teams already on SAP, this is a natural extension. For smaller teams, the complexity of implementing SAP just for skills analytics doesn’t make sense.
DEI and Pay Equity Analytics Tools
DEI analytics answers: How diverse is our workforce? Are we paying equitably across genders and ethnicities? The measurement gets easier when your upstream process is built to reduce hiring bias and promote diversity in the first place.
At 200+ employees, pay equity becomes a compliance concern, not just a nice-to-have.
UKG Pro
UKG Pro is an HCM platform with workforce management analytics.
Pricing is quote-based and typically bundled with UKG Pro modules. The cost depends on number of employees, sites, and analytics scope.
UKG Pro’s analytics include workforce composition, pay equity reporting, diversity metrics, and labor cost trends. The platform combines HR, payroll, and time data, which means your pay equity analysis draws from actual payroll transactions.
UKG Pro fits mid-market teams that want DEI and pay equity analytics connected to their payroll data. If you’re already using UKG for payroll, adding the analytics module gives you compensation insights without a separate tool.
Oracle HCM Cloud
Oracle HCM Cloud is an enterprise HCM platform with embedded AI and analytics.
Pricing is quote-based and depends on HCM Cloud edition and modules.
Oracle’s analytics include People Intelligence for workforce diversity and attrition mitigation, Workforce Operations Command Center for scheduling and absence analytics, and Oracle Fusion HCM Analytics for broader workforce reporting.
Oracle also offers Oracle Analytics for Cloud HCM, which provides self-service analytics across workforce composition, manager effectiveness, and compensation.
For enterprise teams already on Oracle, the analytics are part of the platform. The AI features are embedded, which means you get predictive insights without buying a separate tool.
Visier (for DEI)
Visier’s DEI analytics cover representation by gender, ethnicity, and role. The platform also includes pay equity analysis that compares compensation across demographic groups.
For teams that need rigorous pay equity audits, Visier’s compensation module is built for this. It handles the complexity of multi-region, multi-entity pay analysis that most HRIS platforms can’t manage.
When to Build Your Own Workforce Analytics With BI Tools
Sometimes the best workforce analytics tool isn’t an HR tool at all. It’s a business intelligence platform like Power BI or Tableau.
Power BI
Power BI is Microsoft’s business intelligence platform.
According to a Microsoft announcement on their Fabric Community blog (November 2024), Power BI Pro costs $14 per user per month as of April 2025.
Power BI connects to data from your HRIS, payroll, ATS, and other systems. You build dashboards from scratch or use templates. Common HR dashboards include headcount trends, attrition by department, hiring funnels, and DEI metrics.
Power BI works if you have someone who can build dashboards. It’s flexible and cheap compared to dedicated people analytics platforms. The tradeoff is that you’re building everything yourself. There are no pre-built workforce analytics models or benchmarks.
Tableau
Tableau is a data visualization platform owned by Salesforce.
Their pricing page (tableau.com/pricing) shows three license types: Creator, Explorer, and Viewer. Pricing is per user per month, with Creator being the most expensive tier.
Tableau connects to the same data sources as Power BI. You build visual dashboards for workforce metrics like attrition, hiring, and diversity.
Tableau’s visualizations are generally considered more polished than Power BI’s. But Tableau is more expensive, and like Power BI, you’re building everything from scratch.
Why BI Tools Are Different From Dedicated Workforce Analytics
BI tools give you total flexibility. You can build any dashboard, track any metric, and combine any data sources. This is the core promise of data-driven recruiting and how to use it for smarter hiring too.
What you don’t get is pre-built workforce analytics logic. Dedicated tools like Visier come with hundreds of pre-calculated metrics, industry benchmarks, and predictive models. With Power BI or Tableau, you have to build all of that yourself.
If you have a data team and want full control, BI tools are a good choice. If you want workforce analytics out of the box without building from scratch, buy a dedicated tool.
The Hiring Data Gap in Workforce Analytics
Most workforce analytics software tracks what happens after someone is hired. Turnover, engagement, compensation, performance. All post-hire metrics.
Very few tools capture structured data during the hiring process itself.
When someone leaves after six months, your attrition report shows the cost. Your engagement data might show they were disengaged. But can you trace back to their screening scores? Whether they were assessed for the right skills?
Most teams can’t, because hiring data lives in the ATS and workforce data lives in the HRIS. The two don’t talk to each other.
This is where Gappeo comes in. It’s an AI-powered candidate screening platform that captures structured data at the point of hiring: AI resume scoring, AI phone screening, behavioural assessments, and personality assessments. Much of this rests on talent acquisition automation that works and where it does not.
When that data flows into your HRIS, you can connect pre-hire signals to post-hire outcomes. Do candidates who score high on behavioural assessments stay longer? Does screening quality correlate with 90-day retention?
That connection turns workforce analytics from descriptive to predictive.
Common Mistakes When Buying Workforce Analytics Software
Buying before cleaning your data. If your HRIS has duplicate records and missing fields, no analytics tool will fix that. Clean your data first.
Confusing reporting with analytics. Reporting tells you what happened. Analytics tells you why. Most tools do reporting well. Few do real analytics.
Ignoring implementation costs. Enterprise tools often cost as much to implement as they do to license. Get implementation quotes before signing.
Buying for features you’ll never use. Start with the five questions leadership asks most. Buy the tool that answers those five best.
Not assigning an owner. Analytics tools without an owner become shelfware. Someone needs to maintain dashboards and share insights.
How to Choose Workforce Analytics Software
Step 1: List the five questions leadership asks most. Write them down. “Why is turnover high in engineering?” “Are we paying equitably?” These are your requirements.
Step 2: Check if your current tools answer them. You might already have the data. Exhaust what you have before buying new.
Step 3: Identify the missing data source. Is it skills data? Attrition prediction? Pay equity? The gap tells you which category to evaluate.
Step 4: Buy the tool that fills that gap. Don’t buy a platform that tries to do everything. Solve your most pressing blind spot first.
Step 5: Assign an owner before the tool goes live. A dedicated owner with a basic tool beats an expensive platform with nobody running it.
FAQ: Workforce Analytics Software
What is workforce analytics software?
Workforce analytics software collects and analyzes HR, payroll, time, and performance data to show patterns in your workforce. It helps with planning, attrition prediction, skills gaps, and pay equity.
How is workforce analytics different from HR analytics?
HR analytics focuses on HR processes like recruiting and performance. Workforce analytics is broader. It includes operational data like scheduling, staffing levels, and labor costs.
Can workforce analytics predict employee attrition?
Yes. Tools like Visier and Workday use historical patterns (tenure, compensation changes, manager transitions) to flag employees at risk of leaving. These predictions should be validated and used responsibly.
What data sources does workforce analytics software use?
Common sources include your HRIS, payroll system, ATS, time and attendance tools, learning platforms, and engagement surveys. Some tools also pull external labor market data.
How long does implementation take?
Basic dashboards can go live in a few weeks. Full implementation with integrations, predictive models, and data governance typically takes one to three months.
Is workforce analytics only for large companies?
No. While enterprise teams benefit most from predictive models, smaller companies can use tools like ChartHop for workforce planning and basic analytics. Start with a few high-impact metrics and expand from there.
About Gappeo
If you’ve read this far, here’s something worth knowing.
Most of the tools we covered track what happens after someone joins your team. Very few capture structured data during hiring itself. That means your workforce analytics has a blind spot at the very start of the employee journey.
Gappeo fills that gap. It’s an AI-powered candidate screening platform with AI resume scoring, AI phone screening, video interviews, skills assessments across 1,400+ job roles, behavioural assessments, and personality profiling.
Workforce analytics isn’t Gappeo’s core feature. But the screening data it captures at the point of hire becomes the foundation for predictive workforce analytics down the line.
If your team hires at volume, it might be worth a look. You can start free (no credit card required) or book a demo.
For more on building a hiring process that generates clean data, check out our guides on talent assessment software and recruitment automation tools for staffing agencies.
Workforce analytics tells you why the numbers move. Reporting is the layer that surfaces those numbers in the first place, and teams often shop for both at once. Our guide to HR reporting software and how to choose what fits your team covers where a spreadsheet still works and when a dedicated tool earns its keep.
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