The Souza Cruz Group engaged Conjecto to improve the organization's talent retention indicators and increase accuracy in hiring and promotion processes. The project applied the People Insights framework to the group's Human Resources data, aiming to turn people management into an evidence-driven process.
Context
The group's HR department faced recurring challenges in keeping a motivated and productive team: high turnover, difficulty in proactively identifying employees showing signs of negative performance variation, and low accuracy in promotion processes. These factors directly impacted operational continuity and hiring costs.
Data sources
- SAP ERP (Human Resources): history of personnel movement, positions, salaries, performance reviews and employee records.
Applied solution
Conjecto implemented the People Insights framework, composed of:
- People Insights (PI) Engine: preparation workflows via Trifacta that process data from SAP HR, combined with inference models written in R.
- Visual analysis models in Tableau and Power BI, with model results and statistical analyses of personnel movement.
- Predictive models: Flight Risk Score (exit risk), Job Performance Predictor (support for recruitment, selection and promotion) and HR Data Correlation (correlation between employee attributes and performance).
Results
- Reduction in turnover indicators.
- Proactive identification of employees showing signs of performance decline.
- Greater accuracy in hiring and promotion processes.
- Increased confidence in leadership through data-driven decisions.
The project demonstrated how combining properly prepared HR data with predictive analysis models generates concrete gains in talent retention and productivity.