We use Data Science to improve business efficiency and create additional value by means of data, developing predictive analyses to generate insights and maximize customers’ business, mitigate risks, increase self-service channels’ retention, and minimize callbacks and complaints. Our value proposition focuses on performance (propensity models, people analysis), reduced cost per interaction, and machine learning to enable the AI platform.
Use of the Stress-o-meter, a statistical model without parallel in the market that identifies and categorizes complaints filed over all kinds of channels.
Digital Voice tool for mass analysis of data collected from interactions on voice channels and to spot opportunities for improved indicators and processes.
Predictive analyses to generate insights and maximize customers’ business.
Improved business performance through predictive models and people analysis.