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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Spend more to reduce costs?

It is becoming increasingly important to not to analyse energy consumption for all utility types, be it electricity, gas, water, heat, renewables, oil etc. The bottom line is both operational efficiency and utility costs monitoring. In the long run, these are management strategies designed to drive energy costs downwards as a continuous improvement cycle and as a measure of reducing carbon emissions.

It is also getting increasingly easier for organisations reduce energy use and achieve this goal using technology without having to “remember” to do it yourself. Organisations can never go wrong by investing in energy management software. There are varied software options to choose from depending on the organisational objective.
Some of the energy management objectives that organisations may need to meet are:

? Establishing baseline energy use

? Carrying out Energy audits

? Monitoring and measuring energy performance against the energy policies of an organisation and objectives

? Achieving energy certification
Energy management software?s come in handy when an organization wishes to achieve either of the above objectives.

Use of energy management software?s also assists organisations in measurement and verification of energy consumption as well as Monitoring and Targeting. Measurement and verification is where a company quantifies energy consumption beforehand (baseline energy use) and after energy consumption measurements are implemented in order to verify and report on the level of savings actually achieved.

Organisations that wish to verify the energy savings achieved by building retrofits can use energy management software?s. This is an important objective for companies that wish to either satisfy internal financial accounting and reporting requirements, or to meet the terms of third-party contracts for project implementation and management. Monitoring and targeting is also made easier by use of software. This is critical as a management technique, regardless of whether an organisation has specific facility retrofits in order to keep operations efficient and to monitor utility costs.
Overall, an investment in energy management software, is worthwhile in the achievement of management strategies designed to drive energy costs downwards as a continuous improvement cycle.

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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Transformation to a process based organisation

Today’s global marketplace rewards nimble organisations that learn and reinvent themselves faster than their competition. Employees at all levels of these organisations see themselves as members of teams responsible for specific business processes, with performance measures tied to the success of the enterprise. As team members, they are “owners” of the process (or processes) to which they are assigned. They are responsible for both the day to day functioning of their process(s), and also for continuously seeking sustainable process improvements.

Transforming a traditionally designed “top down control” enterprise to a process-based organisation built around empowered teams actively engaged in business process re-engineering (BPR) has proven more difficult than many corporate leaders have expected. Poorly planned transformation efforts have resulted in both serious impacts to the bottom line, and even more serious damage to the organisation’s fabric of trust and confidence in leadership.

Tomislav Hernaus, in a publication titled “Generic Process Transformation Model: Transition to Process-based Organisation” has presented an overview of existing approaches to organisational transformation. From the sources reviewed, Heraus has synthesised a set of steps that collectively represent a framework for planning a successful organisational change effort. Key elements identified by Hernaus include:

Strategic Analysis:

The essential first step in any transformation effort must be development of a clear and practical vision of a future organisation that will be able to profitably compete under anticipated market conditions. That vision must be expected to flex and adjust as understanding of future market conditions change, but it must always be stated in terms that all organisational members can understand.

Identifying Core Business Processes:

With the strategic vision for the organisation in mind, the next step is to define the core business processes necessary for the future organisation to function. These processes may exist across the legacy organisation’s organisational structures.

Designing around Core Processes:

The next step is development of a schematic representation of the “end state” company, organised around the Core Business Processes defined in the previous step.

Transitional Organisational Forms/ Developing Support Systems:

In his transformation model, Hernaus recognises that information management systems designed for the legacy organisation may not be able to meet the needs of the process management teams in the new organisation. Interim management structures (that can function with currently available IT system outputs) may be required to allow IT professionals time to redesign the organisation’s information management system to be flexible enough to meet changing team needs.

Creating Awareness, Understanding, and Acceptance of the Process-based Organisation:

Starting immediately after the completion of the Strategic Analysis process described above, management must devote sufficient resources to assure that all organisation members, especially key managers, have a full understanding of how a process-based organisation functions. In addition, data based process management skills need to be provided to future process team members. It is not enough to schedule communication and training activities, and check them off the list as they are completed. It is critical that management set behavioural criteria for communication and training efforts that allow objective evaluation of the results of these efforts. Management must commit to continuing essential communication and training efforts until success criteria are achieved. During this effort, it may be determined that some members of the organisation are unlikely to ever accept the new roles they will be required to assume in a process-based organization. Replacement of these individuals should be seen as both an organisational necessity and a kindness to the employees affected.

Implementation of Process Teams:

After the completion of required training AND the completion of required IT system changes, process teams can be formally rolled out in a planned sequence. Providing new teams with part time support by qualified facilitators during the firsts weeks after start-up can pay valuable long term dividends.

Team Skill Development and Continuous Process Improvement:

Providing resources for on-going skill development and for providing timely and meaningful recognition of process team successes are two keys for success in a process-based organisation. Qualified individuals with responsibility for providing training and recognition must be clearly identified and provided with sufficient budgetary resources.

The Hernaus model for transformation to a process based organisation is both well thought out and clear. His paper provides an ample resource of references for further study.

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