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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Big Energy Data Management

Recent times have seen the advent of cloud based services and solutions where energy data is being stored in the cloud and being accessed from anywhere, anytime through remote mobile devices. This has been made possible by web-based systems that can usually bring real-time meter-data into clear view allowing for proactive business and facility management decisions. Some web based systems may even support multi utility metering points and come in handy for businesses operating multiple sites.

Whereas all this has been made possible by increased use of smart devices/ intelligent energy devices that capture data at more regular intervals; the challenge facing businesses is how to transform the large data/big volume of data into insights and action plans that would translate into increased performance in terms of increased energy efficiency or power reliability.

A solution to this dilemma facing businesses that do not know how to process big energy data, may lie in energy management software. Energy management software?s have the capability to analyse energy consumption for, electricity, gas, water, heat, renewables and oil. They enable users to track consumption for different sources so that consumers are able to identify areas of inefficiency and where they can reduce energy consumption, Energy software also helps in analytics and reporting. The analytics and reporting features that come with energy software are usually able to:

? Generate charts and graphs ? some software?s give you an option to select from different graphs

? Do graphical comparisons e.g. generate graphs of the seasonal average for the same season and day type

? Generate reports that are highly customisable

While choosing from the wide range of software available, it is important for businesses to consider software that has the capacity to support their data volume, software that can support the frequency with which their data is captured and support the data accuracy or reliability.

Energy software alone may not make the magic happen. Businesses may need to invest in trained human resources in order to realise the best value from their big energy data. Experts in energy management would then apply human expertise to leverage the data and analyse it with proficiency to make it meaningful to one?s business.

The General Data Protection Regulation & The Duty to use Encryption

The General Data Protection Regulation, abbreviated to GDPR, raised a storm when it arrived. In reality, it merely tightened up on existing good practice according to digital security specialists Gemalto. The right to withhold consent and to be forgotten has always been there, for example. However, the GDPR brings a free enforcement service for consumers, thus avoiding the need for third party, paid assistance.

The GDPR Bottom Lines for Data Security
Moreover, the GDPR has penalties it can apply, of the order that might have a judge choking on his wig. Under it, data security measures such as pseudonymisation (substitution of identifying fields) and encryption (encoding including password protection) have become mandatory. Businesses must further respect their client data by:

a) Storing it in a secure environment supported by robust services and systems

b) Having proven measures to restore availability and access after a breach

c) Being able to prove frequent effectiveness testing of these measures.

The General Data Protection Regulation places an onus on businesses to report any data breaches. This places us in a difficult situation. We must either face at least a wrist slap upon reporting failures. Alternatively, pay a fine of up to ?10 million, or 2% of total worldwide annual turnover.

The Engineered Weak Link in the System
Our greatest threat of breach is probably when the data leaves our secure environment, and travels across cyberspace to an employee, stakeholder, collaborator, or the client themselves. Since email became open to attack, businesses and individuals have turned to sharing platforms like Dropbox, Google Drive, Skydrive, and so on. While these do allow an additional layer of password protection, none of these has proved foolproof. The GDPR may still fine us heavily, whether or not we are to blame for the actual breach.

How Hacking is Approaching Being a Science
We may make a mistake we may regret, if we do not take hacking seriously. The 10 worst data hacks Identity Force lists are proof positive that spending lots of money does not guarantee security (any more than having the biggest stock of nuclear weapons). We have to be smart, and start thinking the way that hackers do.

Hacker heaven is finding an Experian or a Dun & Bradstreet that may have shielded 143 million, and 33 million consumer records respectively, behind a single, flimsy cyber-security door. Ignorance is no excuse for them. They should simply have known better. They should have rendered consumer data unreadable at individual record level. The hackers could have found this too demanding to unpick, and have looked elsewhere.

How Data Encryption Can Help Prevent Hackers Succeeding
Encrypting data is dashboard driven, and businesses need not concern themselves about it works. There are, however, a few basic decisions they must take:

a) Purge the database of all information held without explicit permission

b) Challenge the need for the remaining data and purge the nice-to-haves

c) Adopt a policy of encrypting access at business and customer interfaces

d) Register with three freemium encryption services that seem acceptable

e) After experimenting, sign up for a premium service and be prepared to pay

Factors to Consider When Reaching a Decision
Life Hacker?suggests the following criteria although the list is a one-size-fits-all

a) Is the system fast, simple, and easy to operate

b) Can you encrypt hidden volumes within volumes

c) Can you mass-encrypt a batch of files easily

d) Do all other files remain encrypted when you open one

e) Do files automatically re-encrypt when you close them

f) How confident are you with the vendor, on a scale of 1 to 10

It may be wise to encrypt all the files on your system, and not just your customer data. We are always open to a hack by the competition after our strategic planning. If we leave the decision up to IT, then IT, being human may take the easy way out, and encrypt as little as possible.

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A Definitive List of the Business Benefits of Cloud Computing

When you run a Google search for the “benefits of cloud computing”, you’ll come across a number of articles with a good list of those. However, most of them don’t go into the details, which nevertheless might still suit some readers. But if you’re looking for compelling business reasons to move your company’s IT to the cloud, a peripheral understanding of what this technology can do for you certainly won’t cut it.

Now, cloud computing is not just one of those “cool” technologies that come along every couple of years and which can only benefit a particular department.?What we’re talking about here really is a paradigm shift in computing that can transform not only entire IT infrastructures but also how we run our respective organisations.

I hate to think that some people are holding back on cloud adoption just because they haven’t fully grasped what they’re missing. That is why I decided to put together this list. I wanted to produce a list that would help top management gain a deeper understanding of the benefits of the cloud.

Cloud computing is one bandwagon you really can’t afford not to jump into. Here are ten good reasons why:

1.?Zero?CAPEX and low TCO for an enterprise-class IT infrastructure

2. Improves cash flow

3. Strengthens business continuity/disaster recovery capabilities

4. Lowers the cost of analytics

5. Drives business agility

6. Ushers in anytime, anywhere collaboration

7. Enhances information, product, and service delivery

8. Keeps entire organisation in-sync

9. ?Breathes life into innovation in IT

10. Cultivates optimal environments for development and testing

Zero CAPEX and low TCO for an enterprise-class IT infrastructure

Most cloud adopters with whom I’ve talked to cite this particular reason for gaining interest in the cloud.

Of course they had to dig deeper and consider all other factors before ultimately deciding to migrate. But the first time they heard cloud services could give them access to enterprise class IT infrastructures without requiring any upfront capital investment, they realised this was something worth exploring.

A good IT infrastructure can greatly improve both your cost-effectiveness and your capability to compete with larger companies. The more reliable, fast, highly-available, and powerful it is, the better.

But then building such an infrastructure would normally require a huge capital investment for networking equipment, servers, data storage, power supply, cooling, physical space, and others, which could run up to tens or even hundreds of thousands of euros. To acquire an asset this costly, you’d have to take in debt and be burdened by the ensuing amortisation.

If you’ve got volumes of cash stashed in your vault, cost might not be a problem. But then if you really have so much savings, wouldn’t it be more prudent to use it for other sales-generating projects? An extensive marketing endeavour perhaps?

A capital expenditure of this magnitude and nature, which normally has to be approved by shareholders, can be regarded as a high financial risk. What if business doesn’t do well and you wouldn’t need all that computing power? What if the benefits expected from the IT investment are not realised??You cannot easily convert your IT infrastructure into cash.

Remember we’re talking about a depreciating asset. So even assuming you can liquidate it, you still can’t hope to sell it at its buying price. These factors are going to play in the minds of your Board of Directors when they’re asked to decide on this CAPEX.

Incidentally, these issues don’t exist in a cloud-based solution.

A cloud solution typically follows a pay-as-you-go utility pricing model where you get billed monthly (sometimes quarterly) just like your electricity. ?In other words, it’s an expense you’ll need to pay for?at the end of a period over which the service’s value would have already been realised. Compare that with a traditional infrastructure wherein you’ll have to spend upfront but the corresponding value will still have to be delivered gradually in the succeeding months or years.

demand expense traditional infrastructure

From the point of view of your CFO, what could have been a CAPEX to acquire an asset that depreciates with time (and consequently reduces your company’s net worth), becomes a flexible operating expense (OPEX).?Truly, it is an operating expense that you can increase, decrease, or even totally discontinue, depending on what the prevailing business conditions demand.

demand expense cloud infrastructure

People who think they have done the math in comparing cloud-based and traditional IT infrastructures claim that, although they see how cloud solutions transform CAPEX into OPEX, they really don’t see any significant difference in overall costs.

However, these people have only gone as far as adding up the expected monthly expenses of a cloud solution over the estimated duration of an equivalent IT infrastructure’s effective lifespan and comparing the sum with that IT infrastructure’s price tag. You won’t get a clear comparison that way.

You need to consider all factors that contribute to the infrastructure’s Total Cost of Ownership (TCO). Once you factor in the costs of electricity, floor space, storage, and IT administrators, the economical advantages of choosing a cloud solution will be more evident. Add to that the costs of downtime such as: interruptions to business operations, technical support fees, and the need to maintain expensive IT staff who spend most of their time “firefighting”, and you’ll realise just how big the savings of cloud adopters can be.

Still not convinced? Well, we’re still getting started.?On our next post, we’ll take a closer look at the additional benefits of paying under an OPEX model instead of a CAPEX model.

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