List of ELMO Predictive People Analytics Customers
Sydney, 2000, NSW,
Australia
Since 2010, our global team of researchers has been studying ELMO Predictive People 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 ELMO Predictive People 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 ELMO Predictive People Analytics for Workforce Analytics include: University of Technology Sydney, a Australia based Education organisation with 4098 employees and revenues of $1.18 billion, PetSure, a Australia based Insurance organisation with 335 employees and revenues of $45.0 million, Donovan Group New Zealand, a New Zealand based Construction and Real Estate organisation with 80 employees and revenues of $20.0 million, Wellington Phoenix FC, a New Zealand based Leisure and Hospitality organisation with 120 employees and revenues of $15.0 million and many others.
Contact us if you need a completed and verified list of companies using ELMO Predictive People 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 ELMO Predictive People 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 | Insight Source |
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Donovan Group New Zealand | Construction and Real Estate | 80 | $20M | New Zealand | ELMO Software | ELMO Predictive People Analytics | Workforce Analytics | 2023 | n/a | In 2023, Donovan Group New Zealand implemented ELMO Predictive People Analytics to extend its ELMO platform analytics capabilities within the Workforce Analytics category. Donovan Group had already adopted ELMO Recruitment, HR Core, Onboarding and Learning Management to streamline manual HR and recruitment processes across its New Zealand and Australia operations, reducing administrative burden and speeding time to hire. ELMO Predictive People Analytics was configured to consume aggregated records from ELMO Recruitment and HR Core, enabling model-driven indicators such as flight risk scoring, retention insight generation, talent segmentation and scenario- oriented workforce planning consistent with Workforce Analytics functionality. The implementation aligned predictive outputs with existing learning and onboarding data to provide contextualized talent signals for HR and hiring managers. Integration work centered on the single ELMO tenant and native module linkages, with data flows from recruitment pipelines, employee master records and learning completions feeding the predictive engine. Operational coverage spanned HR, recruitment and talent management functions across Donovan Group New Zealand and Australia sites, surfacing manager- facing dashboards and HR analytical views for operational decision making. Governance emphasized role based access to analytics, phased activation of predictive models and embedding predictive signals into recruiting and retention workflows to inform interventions. The broader ELMO rollout had already reduced administrative tasks and accelerated time to hire through Recruitment, HR Core, Onboarding and Learning Management, while ELMO Predictive People Analytics provides an additional analytic layer intended to surface flight risk and retention signals for proactive workforce actions. | |
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PetSure | Insurance | 335 | $45M | Australia | ELMO Software | ELMO Predictive People Analytics | Workforce Analytics | 2024 | n/a | In 2024 PetSure implemented ELMO Predictive People Analytics. The deployment built on a broader ELMO rollout that included ELMO HR Core, Onboarding, Performance, Learning, Recruitment and Analytics to support rapid headcount growth, simplify onboarding to seconds and bring compliance training in-house across its Australian operations. The implementation encompassed core HR and talent modules, with configuration focused on automated onboarding workflows, integrated learning assignment for compliance courses and performance management workflows. ELMO Predictive People Analytics was adopted alongside ELMO Analytics, providing Workforce Analytics capabilities such as standardized dashboards, cohort analysis and predictive attrition modeling to surface workforce insights and retention signals. Operational coverage was concentrated on PetSure Australia, impacting HR, Talent Acquisition, Learning and Compliance functions. Data consolidation and consistent employee records enabled the Analytics and Predictive People Analytics modules to align hiring, training and performance data for cross-functional reporting and workforce planning. Governance and workflow restructuring centralized HR administration, standardized onboarding and performance processes and brought compliance training delivery in-house, reducing reliance on external training channels. Role based access and standardized configurations were instituted to govern analytics consumption and maintain data consistency across HR and talent teams. Outcomes explicitly realized include support for rapid headcount expansion, onboarding simplified to seconds and internalization of compliance training across Australian operations. Adoption of ELMO Predictive People Analytics is inferred from PetSure's use of ELMO Analytics and the vendor's predictive modules, positioning PetSure to use Workforce Analytics for retention and workforce insight workstreams. | |
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University of Technology Sydney | Education | 4098 | $1.2B | Australia | ELMO Software | ELMO Predictive People Analytics | Workforce Analytics | 2019 | n/a | In 2019, University of Technology Sydney collaborated with ELMO Software to develop and pilot ELMO Predictive People Analytics. The engagement targeted Workforce Analytics and was framed as an AI product development project in partnership with ELMO Cloud HR and Payroll. ELMO Predictive People Analytics creates a cloud based artificial intelligence layer across the entire employee lifecycle from hire to retire, delivering predictions and recommendations based on an organisation's HR and payroll data and business processes. Functional capabilities implemented during the UTS collaboration include predictive modelling for attrition risk, performance trend identification and workforce planning signals, alongside recommendation engines that surface actions for HR users. The implementation architecture integrated the predictive layer with ELMO Cloud HR and Payroll, enabling insights to flow into operational HR workflows and automated response mechanisms. Operational coverage was focused on HR and payroll business functions and designed for ELMO customers across Australia and New Zealand, using UTS as a development and pilot customer. Governance workstreams defined data inputs, model feeding cadence and rules for automated responses to ensure predictions could trigger actions or notifications within HR processes. The stated outcome from the project is to use the ELMO Predictive People Analytics capability to automate responses and actions, making employees more engaged and productive. | |
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Leisure and Hospitality | 120 | $15M | New Zealand | ELMO Software | ELMO Predictive People Analytics | Workforce Analytics | 2021 | n/a |
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Buyer Intent: Companies Evaluating ELMO Predictive People Analytics
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