Return on Investment

Here are some real-life examples where Nt's solutions have achieved substantial return on investment.

	European mobile operator A combined fraud and credit risk management solution provides the operator with a total overview of their 'customer exposure', both on an individual level and for customer base as a whole Early warning of default - Early warning based on changes in customers' behaviour - Early identification of credit violations with predicted exposure Individual and dynamically changing credit limits - Actual exposure and accepted credit limit per customer calculated daily in accordance with each customer's behaviour - Credit limits automatically adjusted in line with customers' behaviour, e.g. 'good' customers rewarded with higher credit limits - Reduced false positive rates compared to fixed limit Improved and streamlined processes - All alerts concerning a customer presented into a single case for investigation - All cases related to a customer are stored in one place - No redundant information and provision of a single holistic view of customer
	US mobile operator Improved fraud cycle time - Year 1 52% reduction - Year 2 Additional 36% reduction - averaged 14 days - Year 3 Targeting 6 days - On Target Reduction in Users (analyts) - Year 1 36% initial reduction in users - Year 2 Additional 22% reduction in users - Year 3 Extend Improved Accuracy - Volume of confirmed alarms unprecedented Subscription fraud - largest fraud loss - Under control, using customer data and neural predictive analytics
	African fixed line operator This company's decision to buy Nt's solution was based upon estimated fraud savings of $11.5 million over 5 years - these savings were achieved at the end of year one! False Positive Rate - Existing rule-based legacy system : 1 out of 10 proven frauds - Nt's results peaked at 7 out of 10 proven frauds Fraud Detection Rate - Double the fraud now being detected - Previously unknown fraud being identified Subscription Fraud - Early detection - Out of over 3,000 switch-offs, only 5 reactivated
	European mobile operator Bad Debt Reduced - Bad debt dropped from 2.8% to 1.3% Improved Accuracy - 6 out of 10 fraud tickets confirmed fraud Improved Processes - Manual work in fraud department greatly reduced - Management reports available much faster, enabling rapid decision-making Proven Scalability - 2002 2.5m subscribers (17m CDRs per day) - 2006 44m subscribers (220m EDRs per day)