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

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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.

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Top 3 reasons to get into Multi-Channel Retail

Multi-channel retail, which nowadays understandably includes online channels, is something you just have to do this year. Every single day you put off doing it, the competition gobbles up market share that should have been yours. There are a number of reasons why even successful retailers are now going into multi-channel retailing. Here?s three of the most important ones.

1. You’ll get a BIG jump in sales

Not counting this year, which could be getting a big boost from major activities like the Queen?s Diamond Jubilee and the 2012 Olympics, sales of UK retailers have been experiencing tremendous growth particularly from their online channels. Already two years ago (2010), a number of UK retailers boasted significant increases in sales as a result of multi-channel retail initiatives. These retailers included:

  • Argos, which got a whopping ?1.9bn from multichannel sales back then;
  • House of Fraser, which reported a 150% jump in its online sales in just 6 months; and
  • Debenhams, whose profits rose by 20%

There were many others. Now, the reason I?m showing you 2010 figures is because online retail sales increased by 14% in 2011 and those same businesses still added to that growth. So, if only you had enough foresight and started expanding your business to the Web two years ago, you could just imagine what your sales would have been today.

The good news is that, it’s not yet too late if you start now. Here?s why…

2. Those numbers are going to keep on growing

We’re getting all sorts of predictions from leading researchers regarding the possible growth of the Internet economy. All these predictions have one thing in common. They all have a positive outlook. The Boston Consulting Group (BCG), for instance, predicts an average growth of no less than 10% per year in the G-20 nations.

3. Most online retailers aren’t doing it right yet

Although many retailers have already started bringing their business to the Web, most of them are doing it the wrong way. For example, many of them fail to integrate their offline and online channels. This is a serious shortcoming because it leads to customer dissatisfaction.

When a customer goes to your website and sees something he likes, you wouldn’t want him to drive all the way to your store only to find out that the item isn’t available there or, if the item is there, that it isn’t priced as he expected. The lack of multi-channel integration is very common among multi-channel retailers.

These inadequacies are actually good news because it means there are still many areas you can improve on. After improving on them, you can then highlight those areas as your key differentiators.

If you’re still looking for more reasons on why you should go into multi-channel retailing, read this post:

“5 Numbers Showing Why the Time to Invest on eCommerce in the UK is Now”

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A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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