Impairment

Bad debt books contain a mix of debt ranging from individuals who have fallen behind with their payments to fraudsters who have never had an intention to repay. The challenge is to identify which debt has the highest probability of successful collection and allow your teams to focus their efforts accordingly. Within the industry;

• collections books can typically contain up to 15 per cent hidden fraud;
• debt needs to be correctly identified and categorised across all product lines such as overdrafts, home loans and personal loans;
• identification and prioritisation of the debt is required to facilitate effective collection;
• people in debt typically have many creditors and frequently only have funds to make repayments to one or two lenders;
• correct strategies need to be identified to maximise the probability of repayment.

Detica NetReveal^® extracts actionable intelligence from your bad debt data, allowing you to detect, manage and prioritise debt networks. This minimises the impact these networks have on your cash flow. Using advanced social network analysis techniques to link people, events and key elements within your data, it can identify previously unknown targets and related hidden networks.

For more information, please download the Detica NetReveal^® for Impairment factsheet from the knowledge centre