List of Avantas Workforce Analytics Customers
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Since 2010, our global team of researchers has been studying Avantas Workforce Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Avantas Workforce Analytics for Workforce Analytics from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Avantas Workforce Analytics for Workforce Analytics include: Mercy, a United States based Healthcare organisation with 45005 employees and revenues of $8.00 billion, Temple University Health System, a United States based Healthcare organisation with 10000 employees and revenues of $2.55 billion, ThedaCare, a United States based Healthcare organisation with 7000 employees and revenues of $1.20 billion and many others.
Contact us if you need a completed and verified list of companies using Avantas Workforce Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Avantas Workforce Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Mercy | Healthcare | 45005 | $8.0B | United States | Avantas | Avantas Workforce Analytics | Workforce Analytics | 2013 | n/a |
In 2013 Mercy engaged Avantas to deploy Avantas Workforce Analytics across its facilities in Oklahoma as part of a three-year workforce analytics and scheduling program. The initiative used Workforce Analytics to target optimization of HR processes, reduction of overtime, and improved staff deployment across clinical and support functions.
The implementation leveraged Avantas Workforce Analytics with configuration aligned to Avantas HELM methodology, and module usage such as Smart Square scheduling is inferred from the vendor's scheduling solution. Functional capabilities emphasized analytics-driven staffing models, automated scheduling workflows, and roster optimization to support nursing and frontline workforce planning.
Operational scope covered Mercy facilities throughout Oklahoma and affected HR, nursing staffing, workforce operations, and scheduling teams. The deployment focused on embedding analytics into day-to-day scheduling decisions and aligning shift coverage with forecasted demand across sites.
Governance and process changes were rolled out over the three-year engagement, instituting centralized scheduling controls and analytics governance to standardize workforce policies. The program delivered explicit outcomes reported by the engagement, including cost savings, reduced vacancy rates and turnover, and automated scheduling driven by the Avantas Workforce Analytics deployment.
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Temple University Health System | Healthcare | 10000 | $2.6B | United States | Avantas | Avantas Workforce Analytics | Workforce Analytics | 2021 | n/a |
In 2021, Temple University Health System implemented Avantas Workforce Analytics to centralize Workforce Analytics for HR and contingent staffing across the Philadelphia region. The deployment was executed in partnership with AMN and Avantas, aligning managed services and technology to support hospital staffing operations and local contingent labor programs.
The Avantas Workforce Analytics implementation focused on predictive scheduling and analytics capabilities, delivering dashboards for demand forecasting, shift-level scheduling insight, and contingent labor spend visibility. Configuration emphasized workforce planning workflows and analytics-driven scheduling policies, with predictive scheduling functionality informed by Smart Square inputs.
Integrations were established with the organization’s vendor management system and with Smart Square predictive scheduling, enabling a flow of contingent labor and schedule data into Avantas Workforce Analytics. Operational coverage targeted HR, contingent staffing managers, and the managed services team supporting Philadelphia-area sites, providing unified reporting for bill rate management and turnover monitoring.
Governance changes included embedding analytics into workforce planning and contingent staffing procurement processes, with AMN/Avantas supporting adoption and operationalization. According to AMN materials, the collaboration reported a 4.1% reduction in turnover and an 11% decrease in bill rate, outcomes used to validate the analytics-driven staffing model.
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ThedaCare | Healthcare | 7000 | $1.2B | United States | Avantas | Avantas Workforce Analytics | Workforce Analytics | 2016 | n/a |
In 2016 ThedaCare implemented Avantas Workforce Analytics to introduce Workforce Analytics capabilities that support HR and staffing operations across its Northeast Wisconsin hospitals and clinics. The deployment emphasized predictive workforce analytics and Smart Square scheduling to align staffing with patient volume across inpatient and ancillary units.
The implementation combined demand forecasting and schedule orchestration, with configuration focused on demand forecasting models and scheduling workflows tailored to inpatient nursing and ancillary staffing use cases. Avantas Workforce Analytics was applied to provide forecast-driven staffing recommendations and to operationalize Smart Square scheduling for shift coverage and workforce planning.
Operational coverage included inpatient and ancillary units and direct support for HR, staffing operations, and unit-level managers, with rollout activities oriented around scheduling and forecast adoption rather than system integrations. Vendor materials cited forecast accuracy as high as 97 percent, and the program explicitly centered on aligning staffing levels to patient volume through predictive analytics and schedule automation.
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