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 1 ? Who Qualifies

The base criteria are any UK undertaking that employs more than 250 people and/or has a turnover in excess of ?50 million and/or has a balance sheet total greater than ?43 million. There is little point in attempting to separate off high polluting areas. If one corporate group qualifies for ESOS, then all the others are obligated to take part too. The sterling equivalents of ?38,937,777 and ?33,486,489 were set on 31 December 2014 and apply to the first compliance period.

Representatives of Overseas Entities

UK registered branches of foreign entities are treated as if fully UK owned. They also have to sign up if any overseas corporate element meets the threshold no matter where in the world. The deciding factor is common ownership throughout the ESOS system. ecoVaro appreciates this. We have seen European companies dumping pollution in under-regulated countries for far too long.

Generic Undertakings that Could Comply

The common factor is energy consumption and the organisation’s type of work is irrelevant. The Environmental Agency has provided the following generic checklist of undertakings that could qualify:

Limited Companies Public Companies Trusts
Partnerships Private Equity Companies Limited Liability Partnerships
Unincorporated Associations Not-for-Profit Bodies Universities (Per Funding)

Organisations Close to Thresholds

Organisations that come close to, but do not quite meet the qualification threshold should cast their minds back to previous accounting periods, because ESOS considers current and previous years. The exact wording in the regulations states:

?Where, in any accounting period, an undertaking is a large undertaking (or a small or medium undertaking, as the case may be), it retains that status until it falls within the definition of a small or medium undertaking (or a large undertaking, as the case may be) for two consecutive accounting periods.?

Considering the ?50,000 penalty for not completing an assessment or making a false or misleading statement, it makes good sense for close misses to comply.

Joint Ventures and Participative Undertakings

If one element of a UK group qualifies for ESOS, then the others must follow suit with the highest one carrying responsibility. Franchisees are independent undertakings although they may collectively agree to participate. If trusts receive energy from a third party that must do an ESOS, then so must they. Private equity firms and private finance initiatives receive the same treatment as other enterprises. De-aggregations must be in writing following which separated ESOS accountability applies.

Energy Cooperation Mechanisms in the EU

While the original mission of the European Union was to bring countries together to prevent future wars, this has spun out into a variety of other cooperative mechanisms its founders may never have dreamed of. Take energy for example, where the European Energy Directive puts energy cooperation mechanisms in place to help member states achieve the collective goal.

This inter-connectivity is essential because countries have different opportunities. For example, some may easily meet their renewable targets with an abundance of suitable rivers, while others may have a more regular supply of sunshine. To capitalise on these opportunities the EU created an internal energy market to make it easier for countries to work together and achieve their goals in cost-effective ways. The three major mechanisms are

  • Joint Projects
  • Statistical Transfers
  • Joint Support Schemes

Joint Projects

The simplest form is where two member states co-fund a power generation, heating or cooling scheme and share the benefits. This could be anything from a hydro project on their common border to co-developing bio-fuel technology. They do not necessarily share the benefits, but they do share the renewable energy credits that flow from it.

An EU country may also enter into a joint project with a non-EU nation, and claim a portion of the credit, provided the project generates electricity and this physically flows into the union.

Statistical Transfers

A statistical transfer occurs when one member state has an abundance of renewable energy opportunities such that it can readily meet its targets, and has surplus credits it wishes to exchange for cash. It ?sells? these through the EU accounting system to a country willing to pay for the assistance.

This aspect of the cooperative mechanism provides an incentive for member states to exceed their targets. It also controls costs, because the receiver has the opportunity to avoid more expensive capital outlays.

Joint Support Schemes

In the case of joint support schemes, two or more member countries combine efforts to encourage renewable energy / heating / cooling systems in their respective territories. This concept is not yet fully explored. It might for example include common feed-in tariffs / premiums or common certificate trading and quota systems.

Conclusion

A common thread runs through these three cooperative mechanisms and there are close interlinks. The question in ecoVaro?s mind is the extent to which the system will evolve from statistical support systems, towards full open engagement.

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