Spreadsheet Fraud

To any company executive or business owner, the mere possibility of fraud can be enough to send alarm bells ringing – for good reason. In a prolonged recession, the last thing investors would want to discover is a huge, gaping hole where supposedly a neat profit should have been. Also to find out that such loss was brought about by deliberately falsified accounting and poor spreadsheet controls only makes the situation even more regrettable.

Why?

Because these losses would not have occurred had there been a stronger risk management program in place and more stringent quality control on critical data to begin with.

But given the nature of a spreadsheet system i.e. its sheer flexibility and easy accessibility, plus the fact that they were never intended to be enterprise-level tools, there are no hard and fast rules for auditing spreadsheets. Also because of the lack of internal controls for end user computing (EUC) applications, in this case spreadsheets, you can’t expect these systems to yield consistently accurate results.

In fact, most managers assume that major spreadsheet errors should result in figures that are blatantly out of touch with how things stand in the real world, making these errors easily detectable.

Well they assumed wrong. You’ll find cases where the losses ran to millions of dollars without anyone being the wiser.

In instances of fraud, the problem becomes more complicated as these errors are deliberately hidden and cleverly disguised, perhaps one erroneous cell at a time. Even if these cover-ups started out with smaller figures that may have had negligible impact on a company?s operation, the cumulative costs of these ?insignificant? errors multiply exponentially as the spreadsheets are reused and utilised as bases for other related reports.

While there is no generally accepted definition of the term ?spreadsheet fraud?, its quite easy to identify one when a case crops up. Fraud arising from spreadsheets are typically characterised by:

Fallacious inputs – correct figures are deliberately replaced with false values.

Erroneous outputs owing to data alteration – hyperlinks are linking to the wrong spreadsheets or cells; use of macros or special lines of code which are understandable only to the person who developed the code.

Concealment of critical information – can be done with easy ?tweaks? such as hidden rows and columns, using the same colour for both the font and the background, or hard coding additional values into a cell.

There is nothing really highly-sophisticated or technical in any of these methodologies. But without internal spreadsheet controls in place, it would take a discerning eye and a thorough review to catch the inconsistencies contained in a spreadsheet fraught with errors. Also, if these errors are knowingly placed there, the chances of finding them are close to nil.

Learn more about our server application solutions and discover a better way to protect your company from spreadsheet fraud.

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Spreadsheet Risk Issues


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Monitoring Water Banks with Telemetrics

Longstanding droughts across South Australia are forcing farmers to rethink the moisture in the soil they once regarded as their inalienable right. Trend monitoring is an essential input to applying pesticides and fertilisers in balanced ratios. Soil moisture sensors are transmitting data to central points for onward processing on a cloud, and this is making a positive difference to agricultural output.

Peter Buss, co-founder of Sentek Technology calls ground moisture a water bank and manufactures ground sensors to interrogate it. His hometown of Adelaide is in one of the driest states in Australia. This makes monitoring soil water even more critical, if agriculture is to continue. Sentek has been helping farmers deliver optimum amounts of water since 1992.

The analogy of a water bank is interesting. Agriculturists must ?bank? water for less-than-rainy days instead of squeezing the last drop. They need a stream of online data and a safe place somewhere in the cloud to curate it. Sentek is in the lead in places as remote as Peru?s Atacamba desert and the mountains of Mongolia, where it supports sustainable floriculture, forestry, horticulture, pastures, row crops and viticulture through precise delivery of scarce water.

This relies on precision measurement using a variety of drill and drop probes with sensors fixed at 4? / 10cm increments along multiples of 12? / 30cm up to 4 times. These probe soil moisture, soil temperature and soil salinity, and are readily re-positioned to other locations as crops rotate.

Peter Buss is convinced that measurement is a means to the end and only the beginning. ?Too often, growers start watering when plants don’t really need it, wasting water, energy, and labour. By monitoring that need accurately, that water can be saved until later when the plant really needs it.? He goes on to add that the crop is the ultimate sensor, and that ?we should ask the plant what it needs?.

This takes the debate a stage further. Water wise farmers should plant water-wise crops, not try to close the stable door after the horse has bolted and dry years return. The South Australia government thinks the answer also lies in correct farm dam management. It wants farmers to build ones that allow sufficient water to bypass in order to sustain the natural environment too.

There is more to water management than squeezing the last drop. Soil moisture goes beyond measuring for profit. It is about farming sustainably using data from sensors to guide us. ecoVaro is ahead of the curve as we explore imaginative ways to exploit the data these provide for the common good of all.

How To Get Started with your IT Compliance Efforts for SOX

There’s no question about it. For many of you top executives in the corporate world, all roads leading to a brighter future have to go through SOX compliance. And because the business processes that contribute to financial reporting (the crux of the Sarbanes-Oxley Act) are now highly reliant on IT systems, it is important to focus a good part of your attention there.

It is a long and arduous path to IT compliance, so if you don’t want your company to fall by the wayside due to inefficient utilisation of resources, it is important to set out with a plan on hand. What we have here are some vital information that will guide you in putting together a sound plan for SOX compliance of your company?s IT systems.

Why focus on IT systems for SOX compliance?

We’ll get to that. But first, let’s take up the specific portions of the Sarbanes-Oxley Act that affect information technology. These portions can be found in Section 302 and Section 404 of the act.

In simplified form, Section 302 grants the SEC (Securities and Exchange Commission) authority to come up with rules requiring you, CEOs and CFOs, to certify in each annual or quarterly financial report the following:

  • that you have reviewed the report;
  • that based on your knowledge, the report does not contain anything or leave out anything that would render it misleading;
  • that based on your knowledge, all financial information in the report fairly represent the financial conditions of the company;
  • that you are responsible for establishing internal controls over financial reporting; and
  • that you have assessed the effectiveness of the internal controls.

Similarly, Section 404, stated in simplified form, allows the SEC to come up with rules requiring you, CEOs and CFOs, to add an internal control report to each annual financial report stating that you are responsible for establishing internal controls over financial reporting.

You are also required to assess the effectiveness of those controls and to have a public accounting firm to attest to your assessment based upon standards adopted by the Public Company Accounting Oversight Board (PCAOB).

While there is no mention of IT systems, IT systems now play a significant role in financial reporting. Practically all of the data you need for your financial reports are stored, retrieved and processed on IT systems, so you really have to include them in your SOX compliance initiatives and establish controls on them.

Now that that’s settled, your next question could very well be: How do you know what controls to install and whether those controls are already sufficient to achieve compliance?

Finding a suitable guide for IT compliance

The two bodies responsible for setting rules and standards dealing with SOX, SEC and PCAOB, point to a well-established control framework for guidance – COSO. This framework was drafted by the Committee of Sponsoring Organisations of the Treadway Commission (COSO) and is the most widely accepted control framework in the business world.

However, while COSO is a tested and proven framework, it is more suitable for general controls. What we recommend is a widely-used control framework that aligns well with COSO but also caters to the more technical features and issues that come with IT systems.

Taking into consideration those qualifiers, we recommend COBIT. COBIT features a well thought out collection of IT-related control objectives grouped into four domains: Plan and Organise (PO), Acquire and Implement (AI), Deliver and Support (DS), and Monitor and Evaluate (ME). The document also includes maturity models, performance goals and metrics, and activity goals.

A few examples of COBIt’s detailed control objectives are:

DS4.2 – IT Continuity Plans
DS4.9 – Offsite Backup Storage
DS5.4 – User Account Management
DS5.8 – Cryptographic Key Management
DS5.10 – Network Security
DS5.11 – Exchange of Sensitive Data

By those titles alone, you can see that the framework is specifically designed for IT. But the document is quite extensive and, chances are, you won’t need all of the items detailed there. Furthermore, don’t expect COBIT to specify a control solution controls for every control objective. For example, throughout the control objective DS4 (Ensure Continuous Service), you won’t find any mention of virtualisation, which is common in any modern business continuity solution.

Basically, COBIT will tell you what you need to attain in order to achieve effective governance, management and control, but you’ll have to pick the solution best suited to reach that level of attainment.

Articles highly relevant to the one you just read:

Month End Accounting The Way It Should Be Today
Spreadsheet Woes ? Burden in SOX Compliance and Other Regulations
Spreadsheet Woes ? Limited Features For Easy Adoption of a Control Framework
How Internal Auditors Can Win The War Against Spreadsheet Fraud

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:

  • Make our call centre operation nimble
  • Reduce the average time to handle calls
  • Decide an average time to answer callers

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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