List of HRForecast Customers
München, 80992,
Germany
Since 2010, our global team of researchers has been studying HRForecast 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 HRForecast 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 HRForecast for Workforce Analytics include: Deutsche Telekom, a Germany based Communications organisation with 201336 employees and revenues of $134.08 billion, Siemens, a Germany based Manufacturing organisation with 312000 employees and revenues of $84.55 billion, Ernst & Young, a United Kingdom based Professional Services organisation with 406209 employees and revenues of $51.20 billion, Continental, a Germany based Automotive organisation with 96426 employees and revenues of $46.60 billion, SAP, a Germany based Professional Services organisation with 110650 employees and revenues of $42.32 billion and many others.
Contact us if you need a completed and verified list of companies using HRForecast, 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 HRForecast 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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A1 Group | Communications | 17000 | $6.1B | Austria | HRForecast | HRForecast | Workforce Analytics | 2022 | n/a |
In 2022 A1 Group deployed HRForecast as a Workforce Analytics application to drive targeted workforce development for future Data Scientist and Big Data Engineer roles. The program was initiated by Business HR and Learning & Talent Acquisition to identify internal talent, map skill gaps, and create learner centric development paths across the organization.
The implementation created future oriented job profiles for Data Scientist and Big Data Engineer using analysis of global macroeconomic signals. HRForecast’s smartPeople skill platform was used to ingest and analyze unstructured employee data including CVs, certificates, and training records, register discrete skills, and persist skill profiles. Functional capabilities implemented include AI based skill matching to target profiles, automated skill gap analysis, personalized learning path generation, and interactive individual dashboards accessible via app and web.
Operational scope included more than 150 A1 employees who applied for the program and a cohort of 70 employees who commenced self motivated learning journeys toward the target profiles. The HRForecast deployment functionally connected talent identification, strategic workforce planning, and Learning & Development workflows, positioning HRForecast as the Workforce Analytics layer that surfaces hidden potential and candidates for future skill profiles within business units.
Governance changes emphasized a shift from traditional top down strategic planning to an AI supported, learner centric model that enables employees to steer their own development. Christian Göttinger, Head of Learning & Talent Acquisition, framed the approach as enabling individual development while allowing HR to target relevant candidates and offer tailored development and career steps for 70 engaged colleagues. The project produced transparency on employee competencies, automated competency evaluations, and a catalog of targeted learning paths to reduce skill gaps for future roles.
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Adidas | Retail | 46045 | $27.8B | Germany | HRForecast | HRForecast | Workforce Analytics | 2019 | n/a |
In 2019, Adidas implemented HRForecast. The HRForecast deployment addressed Workforce Analytics needs for Adidas, supporting HR and workforce planning functions within the retail organization.
The implementation leveraged HRForecast capabilities typical of Workforce Analytics, including predictive workforce planning, skills and competency analytics, scenario modeling for talent supply and demand, and dashboarding for workforce metrics. HRForecast was configured to provide centralized analytics and forecasting to inform succession planning and talent allocation decisions, aligning with standard workflows such as skills mapping, headcount modeling, and scenario simulation.
Operational coverage centered on HR and talent management teams, with the platform positioned to feed planning cycles and workforce governance processes. Adidas is listed as a customer on HRForecast's website, and the public customer listing does not enumerate integration partners or specific system connections.
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CMS LTF | Professional Services | 500 | $100M | United Kingdom | HRForecast | HRForecast | Workforce Analytics | 2019 | n/a |
In 2019, CMS LTF implemented HRForecast, deploying Workforce Analytics to develop strategic workforce planning for its professional services service lines. The engagement targeted increasing service line profitability by designing workforce architectures with higher leverage and by translating business scenarios into actionable workforce scenarios.
The implementation centered on an architecture-driven planning model in HRForecast that simulates business and workforce changes to quantify impacts on service line profitability. Core functional capabilities implemented included architecture optimization, architecture shaping, architecture scenario simulations, and architecture transformation, enabling scenario-based demand forecasting, gap analysis, and the definition of talent-management measures.
Operational scope covered service lines and planning units, with the model producing two transformation scenarios and identifying gaps between future workforce supply and demand. Business functions impacted included workforce planning, HR talent-management, and the planning units responsible for service line profitability, with defined inputs for recruiting, development, and promotion activities.
Governance and process restructuring focused on defining targets for talent-management areas and formalizing annual monitoring to track transformation progress. A stated project challenge was determining required recruiting and development targets to serve as measurable controls, which led to the establishment of yearly tracking across planning units.
Outcomes explicitly delivered to CMS included two scenarios for workforce transformation and increased transparency to optimize internal career paths and develop new career paths. HRForecast provided the simulation capability and analytical presentation needed to make the levers impacting performance plannable and controllable.
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Continental | Automotive | 96426 | $46.6B | Germany | HRForecast | HRForecast | Workforce Analytics | 2019 | n/a |
In 2019, Continental implemented HRForecast as a Workforce Analytics platform under the program named Big Data for Best fit to map the companys skill structure and align workforce capabilities with future business model requirements. The initiative targeted HR and executive planning, asking which visible and hidden skills exist, how they can be transferred to meet future demand, and what talent strategy is required to upskill the organization.
The deployment began with a data setup using Machine Learning algorithms to consolidate Continental company data into a standardized personal structure, this dataset formed the core analytical layer for skill profiling. An approach was developed to plan future needed skills on a detailed level, explicitly aligned with quantitative strategic workforce planning, and HRForecast was configured to evaluate current skill availability and identify future risks and potentials in the skill landscape.
Continental used HRForecast to run scenario simulation of future workforce structures and skill availability, the platform produced skill transformation requirements to close gaps between supply and demand. Outputs included evaluation of key skills in the labor market, guidance for the location choice of a global Software Hub strategy, and the appliance of competence data into further analyses across talent planning processes.
The workstream began with a pilot that expanded into multiple projects after executive endorsement, with Member of the Executive Board Dr. Ariane Reinhart citing increased transparency and actionable insight from the pilot. The engagement positioned HRForecast as the Workforce Analytics engine supporting Continental HR and strategic workforce planning, enabling a personnel structure designed to adapt dynamically to a volatile business environment.
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Continental Mexico | Manufacturing | 24000 | $6.0B | Mexico | HRForecast | HRForecast | Workforce Analytics | 2018 | n/a |
In 2018, Continental Mexico implemented HRForecast, a Workforce Analytics application to reduce attrition across its Mexican operations. The engagement focused on strategic workforce planning and attrition management for the automotive manufacturing workforce, with explicit goals to create transparency on attrition drivers and define target employee groups.
The implementation established a unified data model that integrated primary HR records and unstructured exit interview text, and configured machine learning algorithms to extract attrition drivers from narrative responses. HRForecast analytics modules were used to build an attrition model that scores employees, segments risk clusters, and supports location specific targeting and scenario analysis.
The project approach began with a data validation workshop to identify relevant data sources and translate exit interview narratives into analyzable input, then progressed to model training in an on premise analytics environment. A measures workshop brought HR leaders from sites across Mexico together to map cluster definitions to tailored interventions, allocate measures to locations, and define attrition targets and follow up activities for each site.
Continental Mexico used HRForecast analytics to convert unstructured exit interviews into actionable insights, derive location specific measures for identified attrition clusters, and create site level action plans for attrition reduction. Governance and process changes included structured workshops, defined follow up activities per location, and cluster based accountability for HR, supporting ongoing attrition management and strategic workforce planning.
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Transportation | 324136 | $6.6B | Germany | HRForecast | HRForecast | Workforce Analytics | 2023 | n/a |
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Communications | 201336 | $134.1B | Germany | HRForecast | HRForecast | Workforce Analytics | 2021 | n/a |
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Professional Services | 406209 | $51.2B | United Kingdom | HRForecast | HRForecast | Workforce Analytics | 2017 | n/a |
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Professional Services | 379 | $108M | Germany | HRForecast | HRForecast | Workforce Analytics | 2017 | n/a |
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Utilities | 1700 | $1.3B | Germany | HRForecast | HRForecast | Workforce Analytics | 2019 | n/a |
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