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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2015 ESOS Guidelines Chapter 2 – Deadlines and Status Changes

The ESOS process is deadline driven and meeting key dates is a non-negotiable. The penalties for not complying / providing false or misleading information are ?50,000 each. Simply not maintaining adequate records could cost you ?5,000. The carrot on the end of the stick is the financial benefits you stand to gain.

Qualifying for inclusion under the ESOS umbrella depends on the status of your company in terms of employee numbers, turnover and balance sheet on 31 December 2014. Regardless of whether you meet the 2014 threshold or not, you must reconsider your situation on 31 December 2018, 2022 and 2026.

Compliance Period Qualification Date Compliance Period Compliance Date
1 31 December 2014 From 17 July 2014* to 5 December 2015 5 December 2015
2 31 December 2018 From 6 December 2015 to 5 December 2019 5 December 2019
3 31 December 2022 From 6 December 2019 to 5 December 2023 5 December 2023
4 31 December 2026 From 6 December 2023 to 5 December 2027 5 December 2027

Notes:

1. The first compliance period begins on the date the regulations became effective

2. Energy audits from 6 December 2011 onward may go towards the first compliance report

Changes in Organisation Status

If your organisation status changes after a qualification date when you met compliance thresholds, you are still bound to complete your ESOS assessment for that compliance period. This is regardless of any change in size or structure. Your qualification status then remains in force until the next qualification date when you must reconsider it.

Will UK Retailers Skim the Cream with ESOS?

The British Retail Consortium (BRC) was quick out on the starting blocks with an ambitious plan to cut energy costs by 25% in 5 years. Their ?25-in-5? initiative is chasing a target of ?4.4 billion savings during the duration. Part of this program involves ?cutting a path through a complex and inaccessible policy landscape?. BRC believes this drawback is making its members think twice about making energy efficiency investments.

The UK?s sprawling network of grocers, department stores and malls is the nation?s second most hungry energy customer, having spent ?3.3 billion on it in 2013 when it accounted for almost 20% of carbon released. If you think that sounds bad, it purchased double that amount in 2005. However the consortium believes there is still more to come.

It bases this assumption on the push effect of UK energy rates increasing by a quarter during the duration of the project. ?So it makes sense to be investing in energy efficiency rather than paying bills,? Andrew Bolitho (property, energy, and transport policy adviser) told Business Green. The numbers mentioned exclude third party transport and distribution networks not under the British Retail Consortium umbrella.

The ?complex and inaccessible policy landscape? is the reflection of UK legislators not tidying up as they go along. BRC cites a ?vast number of policies ? spreading confusion, undermining investment and making it harder to raise capital?. The prime culprits are Britain?s CRC Energy Efficient Scheme (previously Carbon Reduction Commitment) which publishes league tables and ESOS. Andrew Bolitho believes this duality is driving confused investors away.

The British Retail Consortium is at pains to point out that this is not about watering things down, but making it simpler for participating companies to report on energy matters at a single point. It will soon go live with its own information hub providing information for retailers wishing to measure consumption at critical points, assemble the bigger picture and implement best practice.

Ecovaro agrees with Andrew Bolitho that lowering energy demand and cutting carbon is not just about technology. We can do much in terms of changing attitudes and providing refresher training and this does not have to cost that much. Studies have shown repeatedly that there is huge benefit in inviting employees to cross over to our side. In fact, they may already be on board to an extent that may surprise.

The Better Way of Applying Benford’s Law for Fraud Detection

Applying Benford’s Law on large collections of data is an effective way of detecting fraud. In this article, we?ll introduce you to Benford’s Law, talk about how auditors are employing it in fraud detection, and introduce you to a more effective way of integrating it into an IT solution.

Benford’s Law in a nutshell

Benford’s Law states that certain data sets – including certain accounting numbers – exhibit a non-uniform distribution of first digits. Simply put, if you gather all the first digits (e.g. 8 is the first digit of ?814 and 1 is the first digit of ?1768) of all the numbers that make up one of these data sets, the smallest digits will appear more frequently than the larger ones.

That is, according to Benford’s Law,

1 should comprise roughly 30.1% of all first digits;
2 should be 17.6%;
3 should be 12.5%;
4 should be 9.7%, and so on.

Notice that the 1s (ones) occur far more frequently than the rest. Those who are not familiar with Benford’s Law tend to assume that all digits should be distributed uniformly. So when fraudulent individuals tinker with accounting data, they may end up putting in more 9s or 8s than there actually should be.

Once an accounting data set is found to show a large deviation from this distribution, then auditors move in to make a closer inspection.

Benford’s Law spreadsheets and templates

Because Benford’s Law has been proven to be effective in discovering unnaturally-behaving data sets (such as those manipulated by fraudsters), many auditors have created simple software solutions that apply this law. Most of these solutions, owing to the fact that a large majority of accounting departments use spreadsheets, come in the form of spreadsheet templates.

You can easily find free downloadable spreadsheet templates that apply Benford’s Law as well as simple How-To articles that can help you to implement the law on your own existing spreadsheets. Just Google “Benford’s law template” or “Benford’s law spreadsheet”.

I suggest you try out some of them yourself to get a feel on how they work.

The problem with Benford’s Law when used on spreadsheets

There’s actually another reason why I wanted you to try those spreadsheet templates and How-To’s yourself. I wanted you to see how susceptible these solutions are to trivial errors. Whenever you work on these spreadsheet templates – or your own spreadsheets for that matter – when implementing Benford’s Law, you can commit mistakes when copy-pasting values, specifying ranges, entering formulas, and so on.

Furthermore, some of the data might be located in different spreadsheets, which can likewise by found in different departments and have to be emailed for consolidation. The departments who own this data will have to extract the needed data from their own spreadsheets, transfer them to another spreadsheet, and send them to the person in-charge of consolidation.

These activities can introduce errors as well. That’s why we think that, while Benford’s Law can be an effective tool for detecting fraud, spreadsheet-based working environments can taint the entire fraud detection process.

There?s actually a better IT solution where you can use Benford’s Law.

Why a server-based solution works better

In order to apply Benford’s Law more effectively, you need to use it in an environment that implements better controls than what spreadsheets can offer. What we propose is a server-based system.

In a server-based system, your data is placed in a secure database. People who want to input data or access existing data will have to go through access controls such as login procedures. These systems also have features that log access history so that you can trace who accessed which and when.

If Benford’s Law is integrated into such a system, there would be no need for any error-prone copy-pasting activities because all the data is stored in one place. Thus, fraud detection initiatives can be much faster and more reliable.

You can get more information on this site regarding the disadvantages of spreadsheets. We can also tell you more about the advantages of server application solutions.

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