Benefitting from innovative artificial intelligence (AI) and machine learning technologies, ELMO Predictive People Analytics uses historical data to create models that can predict what’s likely to happen in the future – such as identifying employee flight risks at an individual, departmental and organisational level. With this knowledge, employers can take action to reduce regrettable loss and employee churn, thus saving on new hire costs.
Employee Flight Risk Predictions
Obtain employee flight risk insights and identify potential regrettable loss with ELMO’s artificial intelligence (AI) and machine learning technology
Data Aggregation and Visualisations
Extract and process data from various ELMO systems to create easily understandable graphs and charts
‘Hire to Retire’ Insights
Use multiple configurable dashboards at a central location to view HR and predictive metrics from across the employee lifecycle
Key Benefits
- By analysing data from across the employee lifecycle, deep insights can be obtained relating to compliance, productivity, engagement, and more.
- With templated dashboards and data visualisation in the form of graphs and charts, users can easily track workforce behaviour patterns and identify areas for improvement
Features
Get Employee Flight Risk Predictions
Identify risk early and apply targeted employee engagement
Compare data across your organisation for cross-functional analysis
Data Aggregation and Visualisations
Cutting-edge AI and machine learning modelling
Rapid implementation, with zero configuration required
Customised and Shareable Dashboards
Build your own dashbaords with insights relevant to you
Gain a holistic view of the employee life cycle across your organisation
Good alone, better together
Solutions by ELMO
ELMO offers a comprehensive suite of cloud HR & payroll software solutions that can be configured to whatever your organisation requires, and are available within a single dashboard and single user interface. We can help your organisation streamline HR & payroll process to increase productivity, efficiency and reduce costs.
