Your consumer data is an invaluable source of insight and decision-making intelligence.

When combined with Dun & Bradstreet’s expertise in building automated analytic tools this data can deliver more effective customer acquisition, extract greater value from existing relationships, and optimise the way you extend credit.

Scorecard analytics

Dun & Bradstreet develops models that can automate, improve and reduce the costs of your decision making and customer management.

Accept and decline

Utilise the information collected during the credit application process, such as personal details, credit files and customer verification data, to inform decisions on whether to accept or decline a customer, and under what credit conditions.

Customer behaviour

Leverage payment history data to support ongoing customer management decisions, such as identifying customers for collections activity, marketing campaigns and ‘on the spot’ authorisation.

Credit use

Identify which applicants, at either end of the application process or during account review periods, are most likely to use a high amount of credit

Churn and profitability 

Identify which of your applicants are most likely to remain on the books, those which will move on quickly and undermine the cost of acquisition, and those which are likely to be the most profitable.