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.

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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Energy efficiency- succeed and benefit

Energy is neither created nor destroyed; it is only transformed. This being the law of conservation of energy, and given that the process of transforming energy is inefficient resulting in loss of usable energy in the process of transforming one form of energy into another form, Energy Efficiency finds a home.
Talking of Energy efficiency, think of how much useful energy can be obtained from a system or a particular technology. It is also about the use of technology that requires a lesser amount of energy to carry out the same task.

Energy efficiency is the responsibility of both demand side and supply side. Supply-side energy efficiency refers to a set of actions taken to ensure efficiency through the electricity supply chain. Supply side efficiency measures are about efficiency in electricity generation; be it operation and maintenance of existing equipment or upgrading existing equipment with state-of-the-art energy-efficient generating equipment.

The demand side energy efficiency on the other hand refers to the actions taken to use less/demand less energy. Think of less energy usage in relation to improvement of energy efficiency in buildings, solar water heaters, energy efficient lighting systems such as Compact Fluorescent Lamps, conducting energy audits to identify potential energy saving opportunities, efficient water heating systems and the list is endless.

Success of energy efficiency is a win ? win to YOU-ME-US – the energy consumers, to THEM the energy producers and suppliers and to our precious ENVIRONMENT.
Gain to energy suppliers: – Less energy usage and better energy usage patterns among consumers consequently reduces the customer load which reduces losses on the supply side. Less energy loss creates capacity on the system to serve more customers.

Gain to you-me-us: – Less energy usage and better energy usage patterns Benefits the customer through reduced Electricity bills / $ savings through lower bills.

Benefits to the environment: – Usage of less energy reduces use of fossil fuels, hence reduction in GHG emissions hence conserving our environment. Companies look at means to make rational use of their least efficient generating equipment. The objective is to improve the operation and maintenance of existing equipment or upgrade it with state-of-the-art energy-efficient technologies. Some companies have on-site electricity generation alternatives and thus tend to consider the supply side in addition to demand-side energy efficiency.

Quality Assurance

 

There is a truism that goes “The bitterness of poor quality is remembered long after the sweetness of low price has faded from memory”.

While every consumer can probably relate to this idea, business enterprises offering goods and services are the ones that should heed this the most.

Quality Management Systems

The concept of quality was first introduced in the 1800’s. Goods were then still mass-produced, created by the same set of people, with a few individuals assigned to do some “tweaking” on the product to bring it to acceptable levels. Their idea of quality at that time may not have been that well-defined, but it marked the beginnings of product quality and customer satisfaction as we know it now.

Since then, quality has developed into a very basic business principle that every organisation should strive to achieve. Yet while every business recognises the importance of offering product and service quality, it is not something that can be achieved overnight.

If you’ve been in any type of business long enough, you should know that there is no “quick-fix” to achieving quality. Instead, it is an evolving process that needs to be continually worked on. And this is where the importance of having a workable Quality Management System (QMS) in an organisation comes in.

Whatever Quality tools and processes you need to implement the change needed in your organisation, we can help you with it. We are ready to work in partnership with your team to develop strategic systems which will produce significant performance improvements geared towards the achievement of quality.

What is a Quality Management System?

A Quality Management System is defined as the set of inter-related objectives, processes, and operating procedures that organisations use as a guide to help them implement quality policies and attain quality objectives.

Needless to say, the ultimate goal of every quality management system is to establish quality as a core value of the company among all employees, and across all products and services. Why? Because quality services make for happy customers, and satisfied customers ensure continued business for the company.

A Quality Management System does not stop with simply having a set of guidelines that the leaders of a company can easily have their organisation members accept and adhere to. Rather, effective QMS can be implemented when management provides a culture of pride and patience, which will inspire acceptance of individual and group responsibility.

In this manner, not only the heads of the organisation but the employees as well, will develop the desire to achieve company goals that will benefit:

  • All contributing teams;
  • The customers; and
  • The company as a whole.

Find out more about our Quality Assurance services in the following pages:

Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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