Wind Telecomunicazioni is a premier telecommunications company, currently the third largest carrier in the italian mobile market as well as the second landline carrier with revenues in excess of 4 bn euros.
Analytics Network has a long-standing partnership with Wind, with applications ranging from Value-Added Services propensity models to predictive analytics to prevent customer churn and so forth.
One of the more interesting applications involves the introduction of a mixed approach, using both business rules as well as predictive models to assess the risk of credit or fraud implications at the moment of new phone line activation.
As soon as a new request is filled in, no matter the channel being used, whether it’s through a direct official branch, a retail partner or online, the system evaluates the request in real-time, using historical data from the customer, if available, and all the gathered contextual information to provide accurate predictions of the level of fraud risk inside the request.
Outcomes from the risk assessment may result in either a fast-track recommendation for the cases, saving valuable time and money otherwise spent in reviewing the activation requests, information integration requests, or streamlining the request to auditors who can review the cases manually, knowing their time is well spent on the relevant instances, with only a minimal quota of false positives.
By using the real-time predictive analytics approach, Wind has been able to almost halve its load of case reviews while maintaining the same level of unveiled fraudulent requests.