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.

More Spreadsheet Blogs


Spreadsheet Risks in Banks


Top 10 Disadvantages of Spreadsheets


Disadvantages of Spreadsheets – obstacles to compliance in the Healthcare Industry


How Internal Auditors can win the War against Spreadsheet Fraud


Spreadsheet Reporting – No Room in your company in an age of Business Intelligence


Still looking for a Way to Consolidate Excel Spreadsheets?


Disadvantages of Spreadsheets


Spreadsheet woes – ill equipped for an Agile Business Environment


Spreadsheet Fraud


Spreadsheet Woes – Limited features for easy adoption of a control framework


Spreadsheet woes – Burden in SOX Compliance and other Regulations


Spreadsheet Risk Issues


Server Application Solutions – Don’t let Spreadsheets hold your Business back


Why Spreadsheets can send the pillars of Solvency II crashing down

?

Advert-Book-UK

amazon.co.uk

?

Advert-Book-USA

amazon.com

Contact Us

  • (+353)(0)1-443-3807 – IRL
  • (+44)(0)20-7193-9751 – UK

Check our similar posts

The Better Way of Applying Benford’s Law for Fraud Detection

Applying Benford’s Law on large collections of data is an effective way of detecting fraud. In this article, we?ll introduce you to Benford’s Law, talk about how auditors are employing it in fraud detection, and introduce you to a more effective way of integrating it into an IT solution.

Benford’s Law in a nutshell

Benford’s Law states that certain data sets – including certain accounting numbers – exhibit a non-uniform distribution of first digits. Simply put, if you gather all the first digits (e.g. 8 is the first digit of ?814 and 1 is the first digit of ?1768) of all the numbers that make up one of these data sets, the smallest digits will appear more frequently than the larger ones.

That is, according to Benford’s Law,

1 should comprise roughly 30.1% of all first digits;
2 should be 17.6%;
3 should be 12.5%;
4 should be 9.7%, and so on.

Notice that the 1s (ones) occur far more frequently than the rest. Those who are not familiar with Benford’s Law tend to assume that all digits should be distributed uniformly. So when fraudulent individuals tinker with accounting data, they may end up putting in more 9s or 8s than there actually should be.

Once an accounting data set is found to show a large deviation from this distribution, then auditors move in to make a closer inspection.

Benford’s Law spreadsheets and templates

Because Benford’s Law has been proven to be effective in discovering unnaturally-behaving data sets (such as those manipulated by fraudsters), many auditors have created simple software solutions that apply this law. Most of these solutions, owing to the fact that a large majority of accounting departments use spreadsheets, come in the form of spreadsheet templates.

You can easily find free downloadable spreadsheet templates that apply Benford’s Law as well as simple How-To articles that can help you to implement the law on your own existing spreadsheets. Just Google “Benford’s law template” or “Benford’s law spreadsheet”.

I suggest you try out some of them yourself to get a feel on how they work.

The problem with Benford’s Law when used on spreadsheets

There’s actually another reason why I wanted you to try those spreadsheet templates and How-To’s yourself. I wanted you to see how susceptible these solutions are to trivial errors. Whenever you work on these spreadsheet templates – or your own spreadsheets for that matter – when implementing Benford’s Law, you can commit mistakes when copy-pasting values, specifying ranges, entering formulas, and so on.

Furthermore, some of the data might be located in different spreadsheets, which can likewise by found in different departments and have to be emailed for consolidation. The departments who own this data will have to extract the needed data from their own spreadsheets, transfer them to another spreadsheet, and send them to the person in-charge of consolidation.

These activities can introduce errors as well. That’s why we think that, while Benford’s Law can be an effective tool for detecting fraud, spreadsheet-based working environments can taint the entire fraud detection process.

There?s actually a better IT solution where you can use Benford’s Law.

Why a server-based solution works better

In order to apply Benford’s Law more effectively, you need to use it in an environment that implements better controls than what spreadsheets can offer. What we propose is a server-based system.

In a server-based system, your data is placed in a secure database. People who want to input data or access existing data will have to go through access controls such as login procedures. These systems also have features that log access history so that you can trace who accessed which and when.

If Benford’s Law is integrated into such a system, there would be no need for any error-prone copy-pasting activities because all the data is stored in one place. Thus, fraud detection initiatives can be much faster and more reliable.

You can get more information on this site regarding the disadvantages of spreadsheets. We can also tell you more about the advantages of server application solutions.

Field service and improved visibility

A manager is someone who has control over a company. They are given the responsibility of overseeing what the company does and making important decisions. The manager is the most important person in the empire and needs to be in the know at all times. Not what happened a day ago but in real-time and from any place.

Information is necessary for this to happen. It needs to be concise, brief and straightforward. Ideally, access to job status, location information, customer information, notifications and location information should be on the palms of their hands.

To sum it all up, there should be fluid communication among personnel in the field. Information should be accessed easily from one place as it flows to another to maintain steady two-way communication. This is possible with automation meaning that no amount of data will be left unseen or unused because of paperwork that was never handed over or looked into, reducing the chance of misinformation or missing information to a minimum.

Ways improved visibility will help your business through Field Service

Organisations using field services will agree that improved visibility has more business benefits and the real question is what aspect needs improving rather than discussing the benefits.

Real-time visibility

Managers need to be in the know from anywhere at any time. The manager needs information about the company. The need not to be physically present to have an idea of what’s going on. They should know everything at all times, from what was planned for the day to real-time events.

All this information should be easily accessed from one central point and should contain everything about the company and other relevant information.

Extending the back office into the field

This two-way communication is virtually irreplaceable. At any time, the information should flow among technicians in the field and those in the back office. This will help to have a better idea of how to manage the workload and come up with solutions to some work-related issues.

Everyone in the team should be informed and be up to speed about real-time events. Keeping everyone updated improves visibility because they can make updates and decisions based on the kind of information they get.

No more lost paperwork

Managing paper trail can be quite a hassle for organisations. With tons of workload, there can be many delays meaning that some information might be missed or forgotten. People might also choose not to turn up for work for days on end and can affect how much info is processed. Some work can be left undone, and work not invoiced.

When organisations use field service management services, information is fed only once and everything else is done automatically. Say goodbye to lags or relying on last month?s data. Work will move faster because people will have more time to focus on important things rather than chasing an endless paper trail.

Business intelligence

Field service management technology will let you know what is being done in the field and with such an abundance of data, will make sound decisions for the business.

Every decision is hinged on cold facts. Information needs to be easily accessed and filtered into the right categories so that sound business decisions are made from the collected data.

Growing revenue

The abundance of real-time information and improved visibility can determine whether a business will grow or not. Each piece of information can show trends that are critical for any business to improve. Trends show how each sector is doing and sheds more light into specific areas that need a total overhaul. This may include improving customer service, products on retail or hiring more technicians.

Without information, a company is one step closer to going out of business. Every action should be geared to increase the revenue and this starts by making the right choices.

Visibility when working offline

Working offline is an issue that can affect visibility. Sometimes agents will need to work in areas that have little network coverage or are deep down working in tunnels or are around heavy machines and turbines. Field service solutions are built for the mobile environment and for workers who may find themselves in non-connected areas so that they can still use their device while offline. This makes sure that there is no loss of information while working in-field

Time-saving

Certainly, business is constrained to its environments and if the demand changes it should prove to be flexible enough to adjust to changes as they happen. Field service solutions operations like schedule need to update instantly. Once activities start rolling, nothing should create lags in the schedule so that operations flow seamlessly at all time.

Field workers can then make updates and document changes easily on the job site directly on their device by using responsive site menus, drastically saving time while feeding data and complete orders.

Improved customer service

It is not a clich? to say that the customer is always right. With real-time information, both field service and back-office technicians can improve customer relations and satisfaction. With a unified system of sharing information like the ERPs and CRMs, the field officer can know more about specific clients, their history and other data to know more about what should be done in current and future orders. This means that better decisions will be made for each customer.

How improved visibility benefits different parts of the organisation

Improved visibility in all areas of the business makes information more accessible. Here are some of the benefits that various sects of a business can get from improved visibility.

? The business owner
The manager owns the company and can access all information with just a single tap. A lot of data can be used to analyse the health of the venture. This includes revenue, inventory, customer surveys, employee hours, invoices and customer data.
Profitability is increased by putting more emphasis on customer satisfaction and improving the quality of end products and services.

? The service manager
The service manager can see what is going on in the field in real-time, and look into measures that can improve the productivity of staff members in various departments.
And with workflow automation, time-saving is at the maximum because there is less paperwork consequently improving scheduling and job completion rates.

? Service administrator/ dispatcher
For the team in the office, they can assign tasks faster. Scheduling is automatically done and updated in real-time. It eliminates the need for paperwork and leaves more time to be productive on other errands.

? The field technician
Improved visibility for a field worker means that they can do their best in any task. They can share or get critical information about orders and customers. This drastically improves job completion rates and customer satisfaction.

? HR
Live information can be used to track certain orders, the time it takes to complete orders, and the number of staff required in the organisation. Such data can be used in HR to reduce payroll errors and erroneous overtime costs.

? Finance
Field service management software can also benefit the finance team by automation of invoices. A work order can be tracked from start to the end and invoiced immediately to retain faster payments. Relevant data can be used to track revenue and expenditures, and costs.

Real-time visibility gives a company many solutions to manage the workload. In the end, visibility is also useful in increasing revenue and a smooth transition of information for the company.

Data Leakage Prevention – Protecting Sensitive Information

When DuPont lost $400 million in intellectual property, it wasn’t because a hacker from the other side of the world infiltrated their system. The information was simply stolen by a former employee. Alarmingly, data loss incidents are not always caused by deliberate actions.

A file containing personal information accidentally attached to an email and sent to multiple recipients; financial data stored in a USB pen drive, accidentally left in a restaurant; or bank account data of colleagues, inadvertently posted on a company website – these are also some of the everyday causes of data loss.

A report done by research company Infowatch regarding global data leaks in 2010 showed that there were actually more accidental data leaks in that year compared to intentional ones. Accidental leaks comprised 53%, while intentional leaks comprised 42% (the rest were unidentified).

But even if they ?only? happened accidentally, breach incidents like these can still be very costly. The tens of thousands of dollars that you could sometimes end up paying in civil penalties (as in the case when you lose other people?s personal information) can just be the beginning. More costly than this is the loss of customer and investor confidence. Once you lose those, you could consequently lose a considerable portion of your business.

Confidential information that may already be leaking out right under your nose

With all the data you collect, process, exchange, and store electronically every day, your IT system has surely now become a storehouse of sensitive information. Some of them, you may be even taking for granted.

But imagine what would happen if any of the following trade secrets fell into the wrong hands: marketing plans, confidential customer information, pricing data, product development strategies, business plans, supplier information, source codes, and employee salaries.

These are not the only kind of data that you should be worried about. You could also get into trouble if your sloppy IT security fails to protect employee or client personal information such as their names; social security numbers; drivers license numbers; or bank account numbers and credit/debit card numbers along with their corresponding PINs.

In some countries, you could face onerous data breach notification requirements and heavy fines when these kind of data are involved.

There are now more holes to plug

It’s not just the different varieties of sensitive electronic information that you have to worry about. Because these data can take on different forms, i.e. data-at-rest, data-in-motion, and data-at-the-endpoints, you also need to take aim at different areas in your IT system.

Sensitive information can be found ?at rest? in each of your employees? hard disks, in your servers, storage disks, and in off-site backup disks. They can also be found ?in motion? in email, instant messaging, social networking messaging, P2P file sharing, ftp, http, and so on.

That’s not all. Your highly mobile workforce may have already introduced yet another high-risk area into your system: data-at-the-endpoints. This includes USB flash-disks, laptops, portable hard disks, CDs, and even smartphones.

The main challenge of data leak prevention

Having been made aware of the various aspects of data leakage, have you already come to grips with the extent of the task at hand?

There are two major things you need to do here to prevent data leakage.

One, you need to identify what data you have that can be considered as sensitive/confidential information. Of course you have financial information and employee salaries in your files. But do you also store personally identifiable information? Do you have trade secrets that are stored in electronic form?

Two, you need to pinpoint their locations. Are they only on your hard disks and laptops? Or have they made their way to flash drives, CDs/DVDs, or portable HDDs? Are they being transmitted through email or any other file transfer media?

The reason why you need to know what your sensitive data are as well as where they are is because you would like all efforts of securing them to be as efficient and unobtrusive as possible.

Let’s say, as a way of protecting your data, you decide to implement encryption. Since encryption can consume a lot of storage space and significantly reduce performance, it may be impractical to encrypt your entire database or all your files. For the same reason, you wouldn’t want to encrypt every single email that you send.

Thus, the best way would be to encrypt only the data that really need encryption. But again, you need to know what data needs to be encrypted and where those data can be found. That alone is no simple task.

Not only will you need to deal with the data you already have, you will also have to worry about the data that will go through your systems during the course of your day-to-day transactions.

Identifying sensitive data as it enters or leaves your system, goes through your network, or gets stored in your file system or database, and then applying the necessary security actions should be done automatically and intelligently. Otherwise, you could end up spending on a lot of man-hours or, worse, wasting them on a lot of false positives and negatives.

Contact Us

  • (+353)(0)1-443-3807 – IRL
  • (+44)(0)20-7193-9751 – UK

Ready to work with Denizon?