Data Strategy and Data Science

We establish robust Data Strategy and governance frameworks, ensuring data quality for campaign execution and for data science and actuarial modelling.

Our work includes applying Predictive Modelling for sophisticated customer segmentation, Net Present Value (NPV), Contact Optimisation, and persistency analysis, directly integrating these insights into campaign targeting and product development.

We enhance analytical functions to enable profitability turnaround, as evidenced by successfully moving underperforming markets (e.g., one project, from an Internal Rate of Return (IRR) of -5% to a high of +18%), often challenging existing practices by using alternative methods (e.g., Strategic Segmentation).

We deliver demonstrable ROI by leveraging behavioural analysis to detect and bounce fraudulent online buyers, resulting in a 10% drop in one client’s claims ratio.

Furthermore, we enhance understanding of the customer journey through Single Customer View (SCV) solutions, web analytics, and omnichannel attribution to drive high-quality, data-informed marketing strategies.