Briefs

Miya Knights, Computing 10 Nov 2005

EDF Energy has reduced customer bad debt by 60 per cent after using data mining software to analyse its customers’ financial performance.

It has also used the technology to identify 1.7 million potential clients, by evaluating its criteria for new subscribers against data on UK householders.

Clifford Budge, EDF Energy customer insight manager, says the Clementine data mining software from SPSS has become an essential tool for examining data.

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By predicting which geographical areas are most likely to have a high concentration of unpaid bills, the new rules are helping EDF to cut 60 per cent of the bad debt that would otherwise be wiped from its balance sheet. The system also makes the process of collecting outstanding payments easier.

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