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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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:

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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.

  1. 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.
  1. 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.
  1. 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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Measure it to manage it with smart meters

Measure it to manage it. This saying applies perfectly to energy management. Effectively managing energy use is virtually impossible with unreliable measurement devices in place or worse still, no measurements at all. Smart meters are a smart way to measure energy and water usage giving you more control over the amount of energy or water usage.

Smart energy meters:
Smart meters are indeed a smart way to get insight into your energy use which brings more security and a better environment. They can also enable you to get Smart Energy Reports that are a personalised guide to energy efficiency.

Other benefits of smart meters:

? You are able to generate simple graphs and charts showing you where you use your energy and money

? Consumption of gas and electricity is broken down. This implies that one can be able to view their spending at a glance

? Smart meters track consumption on a monthly basis enabling you to compare your own consumption against other similar households

? By tracking energy consumption and spending over time, one can be able to view the history and assess the impact of their energy efficiency measures over a particular period

Smart water meters:
Smart meters are not only used for measuring energy use, they are also used to measure water usage efficiency. Water efficiency is essential for management of sustainable water resources.

Water resources have been diminishing over time posing a challenge for water users and water suppliers to seriously look for ways to manage water efficiency. The need for accurate, adequate and reliable measurement and monitoring practices of water consumption in organisations can therefore not be overlooked.

Timely collection and analysis of water use data, and relaying this data in a timely manner to the water user, can result in significant changes in water use behaviour. Other benefits include instant detection of areas where water wastage is occurring e.g. leakages hence action is taken to save water. Similar to energy data, water data collected by smart metering systems is also vital in designing water efficiency and recycling systems as well as the improvement of demand management policies and programs.

The use of smart meters to monitor water consumption enables users to analyse, and interpret the data collected. This feedback enables users to change their behaviours.

How to create a custom form with Field Elite

A common requirement for most Field Service Workers is to complete various forms and paper based inspection checklists when visiting customer sites and remote area locations.  Often the data collected is often used in collaboration efforts across multiple teams and organisations. 

Using paper forms, binders, cameras, and filing cabinets can make this process complicated, frustrating, and often, near impossible.

If you consider that, even though we are entering the third decade of the new millennium and despite the proliferation of Smart Phones and Tablet computing an incredibly large percentage of field service teams are still making use of paper based systems!

Read more about the benefits of digital forms data collection

Field Elite Customised forms

Field Elite enables Field Service organisations to easily create their own customised forms which can be attached jobs. 

The creation of forms can be done using the Web Based Administration Portal which is provided as standard to all customers when signing up for an account.

To access the form builder from Side Navigation navigate Settings –> Form Templates –> Create Form


You will then be presented with Form Builder utility which will contain an Empty Default Form and a list of fields types you are able to insert.

There are a variety of fields you can use to create all manner of forms. There is no restriction on the number of fields or field types you can choose to create forms suitable for your purpose.

If you can think it you can create it

In the example, we’ll work through, we are going to create a Simple Conference Room Inspection  Report, to be used by Facility Managers to assist in carrying room inspection reports for conference centres.

To add fields to your form simply Drag and Drop the fields onto the form.

Once you have completed adding which fields you require to your form and you are satisfied with the layout.

Select Settings tab to provide a meaningful name for your form.

You can also select a Form Layout you wish for your form.  For the purpose of this post we are going to leave it as Vertical.

Once you are satisfied with your form you can select Save Form 


Once your form has been saved it will be available for selection when defining jobs in the system.

Summary

It is really easy to define custom forms using the Field Elite from templates module.  The Form Template module enables you to create any manner of forms your organisation may require.

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