Dubai, 26 June 2012 - NeuString, the leading supplier of actionable business data analytics software for mobile operators, has updated its functionality on already successful software, to enable operators to negotiate mutually beneficial discounts for international roaming on an individual subscriber level. The IMSI (International Mobile Subscriber Identity) discount feature allows mobile operators to put a cap on data usage at the customer's request.

This enables the customer to travel abroad with their own mobile phone and put a cap on their data usage, daily, weekly and monthly. This ensures that there is a maximum price that the subscriber will be charged. The benefit of this to mobile operators is that they can now compete against local WiFi, as well as avoiding their customers buying local SIM cards in their destination country.

The updated functionality from NeuString enables automatic calculations to be made for roaming partner settlement, in real time. In turn, it simulates the financial impact of applying these models on subscriber rate cards. It has proved to be a catalyst for increasing roaming usage, while complying with telecommunications regulatory requirements. It enables operators to investigate the financial impact of these models, and once implemented the NeuString products will ensure hassle free settlement between roaming partners.

The new feature is already being utilised by operators in Asia, with increasing interest across the Middle East and Europe.

Nikolaj Chris Jensen, Product Director for NeuString, commented: "NeuString has invested a significant amount of resources into improving the data models to ensure the continuous market leading response time. This new feature benefits not only the operators, but answers the concerns of customers too. It removes the risk of unexpected charges on their bills when travelling abroad."

Through utilising NeuString's products, the IMSI discount feature enhances the subscriber's roaming experience by delivering a tailored individual plan. Subscriber behaviour can be anticipated and pre-emptive action can be taken, which in turn reduces churn.

-ENDS-