From business
problems to clarity.

Our projects demonstrate how InfoSan approaches real-world business problems using data, analytics and decision support. The business need determines the solution.

PROJECT 01

FLEET MANAGEMENT • PREDICTIVE ANALYTICS

Vehicle Maintenance Prediction

A predictive maintenance pilot exploring whether vehicle usage and condition information can identify vehicles that may need maintenance before failure. The analysis highlighted the importance of reported issues, brake and battery condition, maintenance history, accident history and service history.

50,000vehicle records
6key indicators
Proactivemaintenance focus
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PROJECT 03

RETAIL • CUSTOMER ANALYTICS

Retail Customer Churn Prediction

A customer-retention analytics project exploring customer behaviour and identifying patterns associated with customer churn. The analysis examined customer characteristics, engagement and purchasing behaviour to identify factors that may indicate an increased likelihood of customers leaving, providing a solution for proactive customer retention.

5,630customers
19features
0.999Random Forest ROC-AUC
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Technical implementation and supporting work can be explored through the project's development repository. The focus here is the business problem, the resulting clarity and the value created.