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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2015 ESOS Guidelines Chapter 3 ? The ESOS Assessment

ESOS operates in tandem with the ISO 50001 (Energy Management) system that encourages continual improvement in the efficient use of energy. Any UK enterprise qualifying for ESOS that has current ISO 50001 certification on the compliance date by an approved body (and that covers the entire UK corporate group) may present this as evidence of having completed its ESOS assessment. It does however still require board-level certification, following which it must notify the Environment Agency accordingly.

The Alternate ESOS Route

In the absence of an ISO 50001 energy management certificate addressing comprehensive energy use, a qualifying UK enterprise must:

  1. Measure Total Energy Consumption in either kWh or energy spend in pounds sterling, and across the entire operation including buildings, industrial processes and transport.
  2. Identify Areas of Significant Energy Consumption that account for at least 90% of the total. The balance falls into a de minimis group that is officially too trivial to merit consideration.
  3. Consider Available Routes to Compliance. These could include ISO 500001 part-certification, display energy certificates, green deal assessments, ESOS compliant energy audits, self-audits and independent assessments
  4. Do an Internal Review to make sure that you have covered every area of significant consumption. This is an important strategic step to avoid the possibility of failing to comply completely.
  5. Appoint an Approved Lead Assessor who may be internal or external to your enterprise, but must have ESOS approval. This person confirms you have met all ESOS requirements (unless you have no de minimis exceptions).
  6. Obtain Internal Certification by one of more board-level directors. They must certify they are satisfied with the veracity of the reports. They must also confirm that the enterprise is compliant with the scheme.
  7. Notify the Environment Agency of Compliance within the deadline using the online notification system at snapsurveys.com as soon as the enterprise believes is fully compliant.
  8. Assemble your ESOS Evidential Pack and back it up in a safe place. Remember, it is your responsibility to provide proof of the above. Unearthing evidence a year later it not something to look forward to.

The ESOS assessment process is largely self-regulatory, although there are checks and balances in place including lead assessor and board-level certifications. As you work through what may seem to be a nuisance remember the primary objectives. These are saving money and reducing carbon emissions. Contact Ecovaro if we can assist in any way.

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:
    • Right-size your maintenance work
    • 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! 

CONTACT US

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  • We tailor a demonstration of our platform and solutions to align to your specific needs
  • We answer any questions and make sensible recommendations
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Big Energy Data Management

Recent times have seen the advent of cloud based services and solutions where energy data is being stored in the cloud and being accessed from anywhere, anytime through remote mobile devices. This has been made possible by web-based systems that can usually bring real-time meter-data into clear view allowing for proactive business and facility management decisions. Some web based systems may even support multi utility metering points and come in handy for businesses operating multiple sites.

Whereas all this has been made possible by increased use of smart devices/ intelligent energy devices that capture data at more regular intervals; the challenge facing businesses is how to transform the large data/big volume of data into insights and action plans that would translate into increased performance in terms of increased energy efficiency or power reliability.

A solution to this dilemma facing businesses that do not know how to process big energy data, may lie in energy management software. Energy management software?s have the capability to analyse energy consumption for, electricity, gas, water, heat, renewables and oil. They enable users to track consumption for different sources so that consumers are able to identify areas of inefficiency and where they can reduce energy consumption, Energy software also helps in analytics and reporting. The analytics and reporting features that come with energy software are usually able to:

? Generate charts and graphs ? some software?s give you an option to select from different graphs

? Do graphical comparisons e.g. generate graphs of the seasonal average for the same season and day type

? Generate reports that are highly customisable

While choosing from the wide range of software available, it is important for businesses to consider software that has the capacity to support their data volume, software that can support the frequency with which their data is captured and support the data accuracy or reliability.

Energy software alone may not make the magic happen. Businesses may need to invest in trained human resources in order to realise the best value from their big energy data. Experts in energy management would then apply human expertise to leverage the data and analyse it with proficiency to make it meaningful to one?s business.

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