Spreadsheet Woes – Limited Features For Easy Adoption of a Control Framework

Like it or not, regulations are here to stay and for a company to comply with them, its IT and financial systems will have to be equipped with a suitable control framework. One common stumbling block to such an implementation is a company?s over-reliance on spreadsheets.

Why is it so difficult to adopt controls for a system that’s reliant on spreadsheets? To understand this, let’s pinpoint some of the strongest, most powerful attributes of these User Developed Applications (UDA).

By nature, spreadsheets are the epitome of simplicity: easy to develop, easily accessible and easily altered. All computers in your workplace will most likely have them and everyone in your organization may be sharing them, making their own versions, and storing them in personal folders.

Sad to say though, these strengths are also control weaknesses and constitute the very reasons why spreadsheets require effective risk management.

Easy to develop. Being easy to develop, most spreadsheet systems are created by non-IT users who have limited knowledge on best control practices. Being constantly under time pressure, these ?developers? may also relegate documentation, security, and data verification to the back burner in favour of coming up with a timely report.

Easy to access. Information in a spreadsheet can be opened by practically anyone within the organization?s network. Who accessed what? And when? If anything goes wrong, it would be difficult to identify the culprit, and the failure to pinpoint responsibility for erroneous data could lead to bigger, more costly mistakes.

Easy to alter. Lastly, if the information is easy to access, then it can also be easily altered, consequently making reports more prone to both accidental errors and fraudulent modifications.

The rise of multimillion dollar scandals due to accidental and intentional spreadsheet errors have prompted regulatory bodies to publish guidelines for mitigating spreadsheet-associated risks. These controls include:

  • Change control
  • Version control
  • Access control
  • Input
  • Security and data integrity
  • Documentation
  • Development life cycle
  • Backup and archiving
  • Logic inspection/Testing
  • Segregation of duties/roles, and procedures
  • Analytics

In theory, these controls should be able to bring down risks considerably. However, because of the inherent nature of spreadsheets, such controls are rarely implemented effectively in the real world.

Take for example Security and Data Integrity. One of the most common causes of spreadsheet error is due to ?hardwiring?. This happens when values are inadvertently entered into a formula cell, naturally changing the logic of the spreadsheet.

As a way of control, cell locking can be applied on the formula cells to prevent users without the proper authority from making any changes. However, when reporting deadlines approach drawing spreadsheets to the forefront of data processing, more people are given access rights to the locked cells. Ironically, it is during these crunch times, when errors are most likely to happen.

Because the built-in features of a spreadsheet support none of the controls mentioned above, some companies are tempted to purchase control-enabling programs for spreadsheets just to continue using them for financial reporting. But although these programs can integrate the required controls, you?d still be interacting with the same complex and outdated interface: the spreadsheets.

Thus, these band-aid solutions may not suffice because the root cause of these problems are the spreadsheets themselves.

Learn more about our server application solutions and discover a better way to implement controls.

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Still looking for a Way to Consolidate Excel Spreadsheets?


Disadvantages of Spreadsheets


Spreadsheet woes – ill equipped for an Agile Business Environment


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Spreadsheet Woes – Limited features for easy adoption of a control framework


Spreadsheet woes – Burden in SOX Compliance and other Regulations


Spreadsheet Risk Issues


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Why Spreadsheets can send the pillars of Solvency II crashing down

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The sprawling New River Valley Volvo plant in Dublin, Virginia slashed its electricity bill by 25% in a single year when it set its mind to this in 2009. It went on to become the first carbon-neutral factory in 2012 after replacing fossil energy with renewable power. Further efforts rewarded it with zero-landfill status in 2013. ecoVaro decided to investigate how it achieved this latest success.

Volvo Dublin?s anti-landfill project began when it identified, measured and evaluated all liquid and solid waste sources within the plant (i.e. before these left the works). This quantified data provided its environmental project team with a base from which to explore options for reusing, recycling and composting the discards.

Several decisions followed immediately. Volvo instructed its component suppliers to stop using cardboard boxes and foam rubber / Styrofoam as packaging, in favour of reusable shipping containers. This represented a collaborative saving that benefited both parties although this was just a forerunner of what followed.

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The results of these simple, and in hindsight obvious decisions were remarkable. Every year since then Volvo has generated energy savings equivalent to 9,348 oil barrels or if you prefer 14,509 megawatts of electricity. Just imagine the benefits if every manufacturing facility did something similar everywhere around the world.

By 2012, the New River Valley Volvo Plant became the first U.S. facility to receive ISO 50001 energy-management status under a government-administered process. Further technology enhancements followed. These included solar hot water boilers and infrared heating throughout the 1.6 million square foot (148,644 square meter) plant, building automation systems that kept energy costs down, and listening to employees who were brim-full with good ideas.

The Volvo experience is by no means unique although it may have been ahead of the curve. General Motors has more than 106 landfill-free installations and Ford plans to reduce waste per vehicle by 40% between 2010 and 2016. These projects all began by measuring energy footprints throughout the process. ecoVaro provides a facility for you to do this too.

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Is Change Management a Myth or a Possibility

The theory that it is possible to manage organisational change (Change Management) in a particular direction has done the rounds for quite some time, but is it true about Change Management. Was Barrack Obama correct when he said, ?Change will not come if we wait for some other person or some other time. We are the ones we have been waiting for. We are the change that we seek.?
Or, was business coach Kelly A Morgan more on the button when she commented, ?Changes are inevitable and not always controllable. What can be controlled is how you manage, react to, and work through the change process.? Let us consult the evidence and see what statisticians say.

What the Melcrum Report Tells Us

Melcrum are ?internal communication specialists who work alongside leaders and teams around the globe to build skills and best practice in internal communication.? They published a report after researching over 1,000 companies that attempted change management and advised:

? More than 50% report improved customer satisfaction

? 33% report higher productivity

? 28% report improvements in employee advocacy

? 27% improved status as a great place to work

? 27% report increased profitability

? 25% report improved absenteeism

Sounds great until we flip the mirror around and consider what the majority apparently said:

? 50% had no improvement in customer service

? 67% did not report increased productivity

? 72% did not note improvements in employee advocacy

? 73% had no improved status among job seekers

? 73% did not report increased profitability

? 75% did not report any reduction of employee absenteeism

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There is a certain amount of truth in the old adage that says, ?You can lead a horse to water but you cannot make him drink.? Which of us has not said, ?Another flavour of the week ? better keep heads down until it passes? during a spell in the corporate world. You cannot change an organisation, but you can change an individual.

At the height of the Nazi occupation of 1942, French philosopher-writer Antoine de Saint-Exup?ry said, ?A rock pile ceases to be a rock pile the moment a single man contemplates it, bearing within him the image of a cathedral?. Psychology Today suggests five false assumptions change management rests upon, THAT ARE SIMPLY NOT TRUE.

1. The external world is orderly, stable, predictable and can be managed

2. Change managers are objective, and do not import their personal bias

3. The world is static and orderly and can be changed in linear steps

4. There is a neutral starting point where we can gather all participants

5. Change is worthy in itself, because all change is an improvement

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A McKinsey Report titled Change Leader, Change Thyself fingers unbelieving managers as the most effective stumbling stones to change management. To change as individuals ? and perhaps collectively change as organisations ? we need to ?come to our own full richness?, and as shepherds lead our flock to their ?promised land?, whatever that may be. Conversely, herding our flock with a pack of sheepdogs extinguishes that most precious thing of all, human inspiration.

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Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

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