Strategic Finance
The hidden cost of debt Print E-mail
Monday, 27 November 2006
Fair Isaacs looks at how organisations can take a more proactive approach to reduce losses associated with bad debt write-offs.

Bad debts can chip away at the most profitable business, so it's surprising that so many finance directors have been unsuccessful in bringing these under control. Those organisations in a retail environment, managing consumer debt on a massive scale, are particularly challenged. As the nation's consumer debt scales new heights and the amounts owed by consumers continue to grow - and as critical new regulations come into force - this challenge can only become steeper.

For many organisations, it is not just that they have been too reactive in the way that they handle customer debt, but that they have a poor grasp of the scale of the problem in their own company and how this is affecting the business. The business Web portal www.bizhelp24.com provides a stark illustration of the high cost of bad debt, noting that £5,000 in bad debt can have the net effect of a loss of £25,000 in net profit, because of the cost of processing, servicing and writing off that debt. This figure doubtless understates the true nature of the problem, as it does not take into account the cost associated with the bad lending investment.

Given that consumer debt in the UK has now broken through the £1 trillion barrier, according to the Bank of England, the ability to keep tighter control over these debts is becoming an imperative. As interest rates rise, economists suggest that this could spell a national economic disaster.

Our own research has found that, in the retail banking industry, organisations can substantially reduce losses associated with bad debt write-offs - by double digit percentages each year - by taking a more proactive, pre-emptive approach to debt collections and recoveries.

Yet, too few organisations are in a position to benefit from these kinds of savings today because of the way that their processes are structured, the information available to key decision makers, and the lack of profile that debt management has within their business.

To turn the situation around, they need to acknowledge debt and arrears management as a business discipline in its own right, and give it the visibility, management focus and levels of investment it so badly needs. While enlightened organisations in the banking and financial service sector are already reaping the rewards of strong credit risk management disciplines, in other industries this function is still too often regarded as the poor relation.

Even among many of the institutions that are already making great strides in this area, there persists a belief that collections is a simple process - a case of sending a letter asking for payment whereupon the customer duly obliges, or throwing more staff and force at the problem. Yet this does not take into account today's savvy consumers, who now allow their own payment hierarchies and preferences to influence how they prioritise their bill and debt repayments.

What can organisations do to regain control of the situation?


With the right investment - in IT, process re-engineering and staff training - companies could be identifying arrears and address debts much earlier and more effectively in the payment lifecycle. This, in turn, could lead to the following benefits: 

  • A reduction in the debts, especially substantial debts, being amassed by customers;
  • A reduction in bad debt write-offs;
  • Lower administrative costs associated with debt chasing (whether internal, by more efficiently engaging staff resources, or better allocating costs associated with using an external debt collections agency);
  • More accurate bad debt provisioning;
  • Improvement in customer satisfaction, as self-curing delinquencies receive a lighter touch from the creditor while consumers in arrears are reached while they still have more payment options at their disposal;
  • Stronger customer relationships;
  • A reduction in customer churn.

Yet this means monitoring and measuring customer payment records at a more detailed level - one that enables them to spot trends, predict risks more accurately, tailor credit arrangements to individual customers, and prevent minor arrears turning into bad debts through pre-emptive intervention. Indeed, this level of record keeping will be essential to Basel II compliance, so many organisations have little choice about whether they go down this route or not.

A more sophisticated approach to debt management ensures a better service to the customer too. The business of chasing payments that are in arrears, especially if these are consumer debts, is an uncomfortable one for both parties. If handled insensitively, this can result in a breakdown in the customer-supplier relationship.

The customer payment hierarchy is complex. Yet personalised treatment by a creditor can sway a customer's preferences, potentially resulting in a real location of payment share from the creditor that appears to have the strongest claim (such as a housing or vehicle related payment) to creditors such as credit card issuers that seem to have weaker claims but which have provided the customer with 'nicer' treatment.

What's more, the company providing the less aggressive treatment stands less chance of alienating the customer to a point where they switch supplier, giving the creditors with the most sophisticated use of data, analytics and software an important competitive advantage.

Much of the necessary data already exists; the problem is consolidating it so that it is easily accessible - and in a format that the relevant finance managers can easily interpret to make rapid, customised credit and debt-recovery decisions.

Once historical customer data is at a point where it can be analysed for trends in behaviour, organisations can begin to use this to predict customers' future payment patterns. As well as enabling companies to stop potential problems developing, this takes them a large step closer to their ultimate goal of customising their services to individual customers.

When it comes to 'grey area' customers - those with moderate account balances who represent modest risk - this capability really comes into its own. With a more sophisticated, discrete collections analytics capability, debt managers will find themselves in a better position to decide when to escalate an account to the collection queue, and how aggressive treatment should be, versus when to use discretion.

Investment of collection resources can now be prioritised too, based on the degree of return expected, instead of on the balance at risk, or the volume of accounts in queue. In other words, resource allocation can be defined based on payment potential instead of on delinquency potential. Clearly, just as there are some debts that will take care of themselves with no creditor intervention, there are some customer debts that would be cheaper to write-off. Intelligent data analysis helps organisations determine which these are so that no further effort - and money - is expended.

Whether you're a financial institution, mobile phone company, utility or retailer, the challenges and solutions will be the same: understand the cost of your debt management operation and its processes, and run this efficiently, and you stand to create competitive advantage and customer payment loyalty. Let it slide, and it could undermine the revenues that are being brought in by the sales department.

If you're among the great many British companies that are still fire fighting when it comes to debt management, the chances are your operations are costly and inefficient. The more customers you have, the worse the problem is likely to be.

As the UK strives to reduce consumer debt burden, more proactive, better informed credit and debt recovery decisions can only be a positive step forward.

Now that many companies' IT budgets are being unfrozen again as the economy begins to gather strength, instead of reacting to new industry regulations as the impetus for updating IT systems, organisations would do well to proactively investigate IT systems that can turn current internal restraints to their own commercial advantage.

Those that use IT investment to create more targeted and effective collections operations stand to experience direct financial benefits. The fact that they are also achieving compliance at the same time is an added bonus. While new financial regulations help provide a justification to bring new commercial functionality into existing systems, they do not themselves promise strong returns on investment capital, so organisations need to apply more thought if they want to get the most out of their new systems.

Analysts have predicted that Basel II will result in more investment in IT among financial institutions than was seen in the run up to Y2K, which is great news if it means more budget is being allocated to IT.

Yet many organisations are currently basing their investment decisions solely on compliance demands, and in so doing are short-changing themselves and their investors by not taking advantage of the competitive advantages that can result from better credit, collections and recovery management.
 

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