Spreadsheet Risks in Banks

No other industry perhaps handles such large volumes of critical financial data more than the banking industry. For decades now, spreadsheets have become permanent fixtures in the front-line reporting tool sets of banks, providing organised information when and where needed.

But as banks enter into a period of heightened credit risks, elevated levels of fraud, and greater regulatory scrutiny, many are wondering if continued reliance on spreadsheets is a wise decision for banks today.

The downfall of Lehman Brothers which eventually led to its filing for Chapter 11 bankruptcy protection on September 15, 2008, served as a wake up call for many institutions across the globe to make a serious examination of their own risk management practices. But would these reforms include evaluating the security of user developed applications (UDAs), the most common of which are spreadsheets, and putting specific guidelines as to when they can – or cannot be – used?

Banks and Spreadsheet Use

Banks have been known to utilise spreadsheets systems for many critical functions because most personnel are well-acquainted with them, and the freedom of being able to develop customised reports without needing to consult with the IT department offers flexibility and convenience. In fact, more than having a way to do financial budgeting and analysing customer profitability, even loan officers and trade managers have become reliant on spreadsheets for risk management reporting and for making underwriting decisions.

But there are more than a few drawbacks to using spreadsheets for these tasks, and the sooner bank executives realise these, the sooner they can adopt better solutions.

General Limitations

Spreadsheets are far from being data base systems and yet more often than not, they are expected to act as such, with figures constantly added and formulas edited to produce the presumably right set of reports.

In addition, data integrity is always a cause for concern as most values in spreadsheets are entered as manual inputs. Even the mere misplacement of a comma or a negative sign, or an inadvertent ?edit? to a formula can also be a source of significant changes in the outcome.

Confidentiality risk is also another drawback of the use of spreadsheets in banks as these tools do not have adequate?access controls to limit access to only authorised individuals. Pertinent financial information that fall into the wrong hands can lead to a whole new set of problems including the possibility of fraud.

Risks in Trading

For trading transactions, spreadsheets can prove to be of immense use – but only for small market volumes. As trade volumes increase and the types vary, spreadsheets are no longer a viable solution and may likely become more of a hindrance, with calculations taking longer in the face of bigger transaction amounts and growing transaction data.

And in trading, there is always the need for rigorous computational functions. Computing for the Value at Risk (VaR) for large portfolios for instance, is simply way beyond the capabilities of spreadsheets. Banks that persist in using them are increasing the risk of loss on those portfolios. Or, they can be opening up?opportunities for fraud?as Allied Irish Bank (in the case of John Rusnak – $690 million) learned the hard way.

Risks in Underwriting

Bankers who use spreadsheets as their main source of information for underwriting procedures also face certain limitations. Loan transactions require that borrowers? financial data be centralised and easily accessible to risk officers and lending officers involved in making decisions. With spreadsheets, there is no simple and secure way of doing that. Information can be pulled from different sources – individual tax returns, corporate tax documents, partnership documents, audited financial statements – hence there is difficulty in verifying that these reports adhere to underwriting policies.

Spreadsheet control and monitoring

Financial institutions which are having difficulty weaning themselves from the convenience and simplicity that spreadsheets offer are looking for possible control solutions. Essentially, they want to find ways that allow them to continue using these UDAs and yet somehow eliminate the?spreadsheet risks?and limitations involved.

Still, the debate goes back and forth on whether adequate control measures can be implemented on spreadsheets so that that the risks are mitigated. Many services have come forward to herald innovative solutions for better spreadsheet management. But at the end of the day, there really is no guarantee that such solutions would suffice.

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How Energy Conservation saved Fambeau River Paper

Rising energy costs caught this Wisconsin paper mill napping, and it soon shut down because it was unable to innovate. Someone else bought it and turned it around by measuring, modifying, monitoring and listening to people.

The Fambeau River Paper Mill in Prince County, Wisconsin USA employed 13% of the city?s residents until rising energy costs shut it down in 2006. Critics wrote it off as an energy dinosaur unable to adapt. But that was before another company bought it out and resuscitated it as a fleet-footed winner.

Its collapse was a long time coming and almost inevitable. Wisconsin electricity prices had grown a third since 1997, the machinery was antiquated and the dependence on fossil power absolute. So what did the new owners change, and is there anything we can learn from this?

The key to understanding what suddenly went right was the new owners? ability to listen. They requested a government Energy Assessment that suggested a number of small step changes that took them where they needed to go in terms of energy saving. These included enhancements in steam systems and fuel switch modifications. However they needed more than that.

The second game changer was tracking down key members of the old workforce and listening to them too. This combination enabled them to finally hire back 92% of the original labour force under the same terms and conditions – and still make a profit (the other 8% had moved on elsewhere or retired). The combined energy savings produced a payback plan of 5.25 years. Three years into the project their capital investment of $15 million had already clawed back the following electricity savings.

Evaporator Temperature Control $2,245,000
Hot Water Heat Recovery $2,105,000
Paper Machine Devronisers $1,400,000
Increased Boiler Output $1,134,000
Paper Machine Modifications; $761,000
Motive Air Dryer $610,000
Accumulator Savings $448,000
Densified Fuels Plant $356,000

In terms of carbon dioxide produced, the Fambeau River Paper Mill?s contribution dropped from 1 ton to 600 pounds.

How well do you know where your company?s energy spend is concentrated, and how this compares with your industry average; could you be doing better if you innovated, and by how much? Get these questions answered by asking ecoVaro how easy it could be to get on top of your carbon metrics. This could cost you a phone call and a payback on it so rapid it’s not worth stopping to calculate.

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What Kanban can do for Call Centre Response Times

When a Toyota industrial engineer named Taiichi Ohno was investigating ways to optimise production material stocks in 1953, it struck him that supermarkets already had the key. Their customers purchased food and groceries on a just-in-time basis, because they trusted continuity of supply. This enabled stores to predict demand, and ensure their suppliers kept the shelves full.

The Kanban system that Taiichi Ohno implemented included a labelling system. His Kanban tickets recorded details of the factory order, the delivery destination, and the process intended for the materials. Since then, Ohno?s system has helped in many other applications, especially where customer demand may be unpredictable.

Optimising Workflow in Call Centres
Optimising workflow in call centres involves aiming to have an agent pick up an incoming call within a few rings and deal with it effectively. Were this to be the case we would truly have a just-in-time business, in which operators arrived and left their stations according to customer demand. For this to be possible, we would need to standardise performance across the call centre team. Moving optimistically in that direction we would should do these three things:

Make our call centre operation nimble
Reduce the average time to handle calls
Decide an average time to answer callers

When we have done that, we are in a position to apply these norms to fluctuating call frequencies, and introduce ?kanbanned? call centre operators.

Making Call Centre Operations Nimble
The best place to start is to ask the operators and support staff what they think. Back in the 1960?s Robert Townsend of Avis Cars famously said, ?ask the people ? they know where the wheels are squeaking? and that is as true as ever.

Begin by asking technical support about downtime frequencies, duration, and causes. Given the cost of labour and frustrated callers, we should have the fastest and most reliable telecoms and computer equipment we can find.

Then invest in training and retraining operators, and making sure the pop-up screens are valuable, valid, and useful. They cannot do their job without this information, and it must be at least as tech-savvy as their average callers are.

Finally, spruce up the call centre with more than a lick of paint to awaken a sense of enthusiasm and pride. Find time for occasional team builds and fun during breaks. Tele-operators have a difficult job. Make theirs fun!

Reducing Average Time to Handle Calls
Average length of contact is probably our most important metric. We should beware of shortening this at the cost of quality of interaction. To calculate it, use this formula:

Total Work Time + Total Hold Time + Total Post Call Time

Divided By

Total Calls Handled in that Period

Share recordings of great calls that highlight how your best operators work. Encourage role-play during training sessions so people learn by doing. Publish your average call-handling time statistics. Encourage individual operators to track how they are doing against these numbers. Make sure your customer information is up to date. While they must confirm core data, limit this so your operators can get down to their job sooner.

Decide a Target Time to Answer Calls
You should know what is possible in a matter of a few weeks. Do not attempt to go too tight on this one. It is better to build in say 10% slack that you can always trim in future. Once you have decided this, you can implement your Kanban system.

Introducing Kanban in Your Call Centre Operation
Monitor your rate of incoming calls through your contact centre, and adjust your operator-demand metric on an ongoing basis. Use this to calculate your over / under demand factor. Every operator should know the value on this Kanban ticket. It will tell them whether to speed up a little, or slow down a bit so they deliver the effort the call rate demands. It will also advise the supervisor when to call up reserves.

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How Internal Auditors can win The War against Spreadsheet Fraud

To prevent another round of million dollar scandals due to fraudulent manipulations on spreadsheets, regulatory bodies have launched major offensives against these well-loved User Developed Applications (UDAs). Naturally, internal auditors are front and center in carrying out these offensives.

While regulations like the Sarbanes-Oxley Act, Dodd-Frank Act, and Solvency II can only be effective if end users are able to carry out the activities and practices required of them, auditors need to ascertain that they have. Sad to say, when it comes to spreadsheets, that is easier said than done.

Because spreadsheets are loosely distributed by nature, internal auditors always find it hard to: locate them, identify ownership, and trace their relationships with other spreadsheets. Now, we’re still talking about naturally occurring spreadsheets. How much more with files that have been deliberately tampered?

Spreadsheets can be altered in a variety of ways, especially if the purpose is to conceal fraudulent activities. Fraudsters can, for instance:

hide columns or rows,
perform conditional formatting, which changes the appearance of cells depending on certain values
replace cell entries with false values either through direct input or by linking to other spreadsheet sources
apply small, incremental changes in multiple cells or even spreadsheets to avoid detection
design macros and user defined functions to carry out fraudulent manipulations automatically

Recognising the seemingly insurmountable task ahead, the Institute of Internal Auditors released a guide designed specifically for the task of auditing user-developed applications, which of course includes spreadsheets.

But is this really the weapon internal auditors should be wielding in their quest to bring down spreadsheet fraud? Our answer is no. In fact, we believe no such weapon has to be wielded at all?because the only way to get rid of spreadsheet fraud is to eliminate spreadsheets once and for all.

Imagine how easy it would be for internal auditors to conduct their audits if data were kept in a centralised server instead of being scattered throughout the organisation in end-user hard drives.

And that’s not all. Because a server-based solution can be configured to have its own built-in controls, all your data will be under lock and key; unlike spreadsheet-based systems wherein storing a spreadsheet file inside a password-protected workstation does not guarantee equal security for all the other spreadsheets scattered throughout your company.

Learn more about Denizon’s server application solutions and discover a more efficient way for your internal auditors to carry out their jobs.

Spreadsheet Risks in Banks

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