Towerbank: Data-driven organizational development decisions
Context
Towerbank, a financial institution in Panama, needed to evolve their organizational development approach from one based on perceptions to one based on data. With 189 employees, they wanted to understand the true drivers of engagement and organizational climate to invest precisely.
Diagnosis
The complete Organizational MRI was applied to 189 employees. The analysis revealed patterns that traditional surveys failed to capture: disconnection between business and support areas, significant engagement differences by tenure, and opportunities for improvement in strategy communication.
Intervention
Advanced analysis methodology:
- K-Means clustering for team segmentation by engagement profiles
- Random Forest for identification of main engagement and satisfaction drivers
- Gradient Boosting to build an early turnover warning system
- Executive dashboard with actionable metrics for VP of Human Capital
Results
The data-driven analysis enabled the approval of $132,000 in organizational development budget, justified with quantitative evidence before the executive committee.
Employees analyzed
189
Budget approved
$132,000
Drivers identified
12 key factors
Analysis time
3 weeks
"For the first time, we were able to make organizational development decisions based on concrete data, not perceptions. The Machine Learning analysis revealed patterns we would never have detected with traditional surveys."
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