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


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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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Proactive Preventative Maintenance: How IoT and Field Service Management Software Helps

FieldElite, our mobile workforce management software, has been key to several industries? return on investment. Whether it’s for plumbing, electrical, property management, cleaning, and maintenance, FieldElite has provided data centralisation for efficient management of these business activities. 

Field service management software is important to utilise current workload, and also helps resolve future issues. We’re talking about a proactive approach to preventative maintenance. 

How exactly do field service managements help in preventative maintenance? 

The answer lies in how field service management is interlinked with IoT in predicting future jobs for the mobile service industry.  

What is IoT? 

Simply put, the Internet of Things (IoT) is a network of devices and sensors connected to the internet. These ?things? (e.g. your smartphone or smartwatch) enable data to be sent and be received without human intervention.

Fundamentally, IoT is about devices being connected to the internet to allow remote monitoring

For many years now, remote monitoring for IT infrastructure has been widely used. 

What’s new that we’re experiencing right now is even the smallest devices ? individual light bulbs and sensors ? can have a network and internet connection, allowing entire systems to be monitored in great detail. 

Implementing IoT and accessing data can be challenging for most service organisations. However, when combined with predictive analytics and field management software, it can have a huge potential impact on individual businesses and the service industry as a whole. 

What is Preventative Maintenance? 

Preventive maintenance refers to regular, routine maintenance to help keep equipment up and running, preventing any unplanned downtime and expensive costs from unanticipated equipment failure. 

The goal of preventative maintenance is to decrease the likelihood of a machine or an equipment’s failure by performing regular maintenance. 

Preventative management can be very complex, especially for companies with a fleet of equipment or customers. It requires careful planning and scheduling of maintenance on equipment before there is an actual problem. 

Also, preventive maintenance is evolving. It’s not just about scheduling the same work every month to prevent failure anymore. Today, working smarter with better information about equipment conditions is critical to ensure maintenance is effective.

That’s where IoT and field service management software, like FieldElite, comes in. Together, they organise and carry out preventive maintenance needs for service industries. 

How IoT and FieldElite Helps in Preventative Maintenance

With FieldElite and IoT technology, you get the best in preventive maintenance management.

  • Evaluation of equipment or machines ? the condition of machines or equipment is evaluated in order to predict when maintenance needs to be performed. 
  • Automated work order ? automated time-based work order creation
  • Full condition-based plans allows you to do the following:
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    • Lower costs
    • Extend the life of your or customer?s assets 
  • Quicker reporting ? due to its efficient and automated nature, IoT and field service management software can reduce a field technician?s average report time from two weeks to two days, therefore boosting your cash flow! 

That’s the most important result a mobile service management software can produce (in connection with preventative maintenance). It’s cost-saving! This can be achieved over routine or time-based preventive maintenance, as tasks are only performed when they are needed. 

The Internet of Things (IoT) and field service management software is changing field service as we know it. 

Companies who adapt and utilise these technologies will benefit the most from the resulting competitive advantage of preventative maintenance. 

Start elevating every field service experience now!  

Our field service software, FieldElite helps you: 
  • Accepts jobs in the field
  • Automate appointment scheduling
  • Manage scheduled jobs 
  • Get real-time visibility into all operations
  • Have a clear and easy viewing of job locations 
  • Resolve field service calls faster 
  • Enable mobile workers to get the job done right
  • Keep customers updated at every step 
  • Create quotations and accept payments 
  • Analyse efficient reports from field technicians
  • Helps in proper preventative maintenance management. 

Learn how to schedule jobs to field workers with ease. Check out FieldElite

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Which KPI?s to Use in CRM

Customer relationship management emerged in the 1980?s in the form of database marketing. In those tranquil pre-social media days, the possibility of ?managing? clients may have been a possibility although Twitter and Facebook took care of that. Modern managers face a more dynamic environment. If you are one, then what are the trends you should be monitoring yourself (as opposed to leaving it to others).

If you want to drip feed plants, you have to keep the flow of liquid regular. The same applies to drip-feed marketing. Customers are fickle dare we say forgetful. Denizon recommends you monitor each department in terms of Relationship Freshness. When were the people on your list last contacted, and what ensued from this?

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Response Times relate closely to this. If your marketing people are hot then they should get a fast response to sales calls, email shots and live chats. It is essential to get back to the lead again as soon as possible. You are not the only company your customers are speaking too. Fortune belongs to the fast and fearless.

The purpose of marketing is to achieve Conversions, not generate data for the sake of it. You are paying for these interactions and should be getting more than page views. You need to drill down by department on this one too. If one team is outperforming another consider investing in interactive training.

Finally Funnel Drop-Off Rate. Funnel analysis identifies the points at which fish fall off the hook and seeks to understand why this is happening. If people click your links, make enquiries and then drift away, you have a different set of issues as opposed to if they do not respond at all.

You should be able to pull most of this information off your CRM system if it is half-decent, although you may need to trigger a few options and re orientate reporting by your people in the field. When you have your big data lined up speak to us. We have a range of data analysts brimming over with fresh ideas.

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