Disadvantages of Spreadsheets

Spreadsheets are flexible, inexpensive and easy to use. They are especially handy when it comes to beating report submission deadlines or making impromptu data computations. That’s why office workers, managers and even executives have made spreadsheets their go-to solution for such undertakings and more.

Spreadsheets have become so ubiquitous, that they’ve found their way into a wide range of applications including complex modelling, accounting reconciliations, market data analysis, work flow tracking and monitoring, analytical review and financial reporting.

Unfortunately, organisations heavy reliance on spreadsheets have made these User Developed Applications (UDA) into high-risk office tools. Simple spreadsheet errors like leaving out a negative sign or a cut-and-paste mistake have already caused million-dollar discrepancies. Also, when a fraudulent employee enters into the picture, the risks become unimaginable.

Think TransAlta?s spreadsheet cut-and-paste glitch (the company later called this a ?simple clerical error?) which caused the energy firm a whopping $24 million loss or Fidelity?s overstatement of its earnings owing to the omission of the minus sign on the spreadsheet of a $1.3 billion net capital loss.

In both cases and in many other similar spreadsheet fiasco, the errors played a major role in the organisation’s decision-making, leading to disastrous results including, but not limited to financial loss, shattered investor confidence and public embarrassment.

If these are scenarios your organisation can ill afford, then it’s time to ask yourself: Do the disadvantages of spreadsheets far outweigh their benefits to merit a call for total liberation from them?

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Spreadsheet woes – ill equipped for an Agile Business Environment


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Spreadsheet woes – Burden in SOX Compliance and other Regulations


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Failure Mode and Effects Analysis

 

Any business in the manufacturing industry would know that anything can happen in the development stages of the product. And while you can certainly learn from each of these failures and improve the process the next time around, doing so would entail a lot of time and money.
A widely-used procedure in operations management utilised to identify and analyse potential reliability problems while still in the early stages of production is the Failure Mode and Effects Analysis (FMEA).

FMEAs help us focus on and understand the impact of possible process or product risks.

The FMEA method for quality is based largely on the traditional practice of achieving product reliability through comprehensive testing and using techniques such as probabilistic reliability modelling. To give us a better understanding of the process, let’s break it down to its two basic components ? the failure mode and the effects analysis.

Failure mode is defined as the means by which something may fail. It essentially answers the question “What could go wrong?” Failure modes are the potential flaws in a process or product that could have an impact on the end user – the customer.

Effects analysis, on the other hand, is the process by which the consequences of these failures are studied.

With the two aspects taken together, the FMEA can help:

  • Discover the possible risks that can come with a product or process;
  • Plan out courses of action to counter these risks, particularly, those with the highest potential impact; and
  • Monitor the action plan results, with emphasis on how risk was reduced.

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

Could Kanban Be?Best for Knowledge Workers?

Knowledge Workers include academics, accountants, architects, doctors, engineers, lawyers, software engineers, scientists and anybody else whose job it is to think for a living. They are usually independent-minded people who do not appreciate project managers dishing out detailed orders. Kanban project management resolves this by letting them choose the next task themselves.

The word ?Kanban? comes from a Japanese word meaning ?billboard? or ?signboard?. Before going into more detail how this works let’s first examine how Japanese beliefs of collaboration, communication, courage, focus on value, respect for people and a holistic approach to change fit into the picture.

The Four Spokes Leading to the Kanban Hub

  1. Visualise the Workflow ?You cannot improve what you cannot see. The first step involves team members reducing a project to individual stages and posting these on a noticeboard.
  2. Create Batches ? These stages are further reduced to individual tasks or batches that are achievable within a working day or shift. More is achievable when we do not have to pick up where we left off the previous day.
  3. Choose a Leader the Team Respects – Without leadership, a group of people produces chaotic results. To replace this with significant value they need a leader, and especially a leader they can willingly follow.
  4. Learn and Improve Constantly ? Kaizen or continuous improvement underpins the Japanese business model, and respects that achievement is a step along the road, and not fulfilment.

The Kanban Method in Practice

Every Kanban project begins with an existing process the participants accept will benefit from continuous change. These adjustments should be incremental, not radical step-changes to avoid disrupting the stakeholders and the process. The focus is on where the greatest benefits are possible.

Anybody in the team is free to pull any batch from the queue and work on it in the spirit of collaboration and cooperation. That they do so, should not make any waves in a culture of respect for people and a holistic approach to working together. All it needs is the courage to step out of line and dream what is possible.

The Kanban Project Method ? Conclusions and Thoughts

Every engine needs some sort of fuel to make it go. The Kanban project management method needs collaboration, communication, courage, focus on value, respect for people and a holistic approach to work. This runs counter to traditional western hierarchies and probably limits its usefulness in the West.

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New Focus on Monitoring Soil

There is nothing new about monitoring soil in arid conditions. South Africa and Israel have been doing it for decades. However climate change has increased its urgency as the world comes to terms with pressure on the food chain. Denizon decided to explore trends at the macro first world level and the micro third world one.

In America, the Coordinated National Soil Moisture Network is going ahead with plans to create a database of federal and state monitoring networks and numerical modelling techniques, with an eye on soil-moisture database integration. This is a component of the National Drought Resilience Partnership that slots into Barrack Obama?s Climate Action Plan.

This far-reaching program reaches into every corner of American life to address the twin scourges of droughts and inundation, and the agency director has called it ?probably ?… one of the most innovative inter-agency tools on the planet?. The pilot project involving remote moisture sensing and satellite observation targets Oklahoma, North Texas and surrounding areas.

Africa has similar needs but lacks America?s financial muscle. Princeton University ecohydrologist Kelly Caylor is bridging the gap in Kenya and Zambia by using cell phone technology to transmit ecodata collected by low-cost ?pulsepods?.

He deploys the pods about the size of smoke alarms to measure plants and their environment.?Aspects include soil moisture to estimate how much water they are using, and sunlight to approximate the rate of photosynthesis. Each pod holds seven to eight sensors, can operate on or above the ground, and transmits the data via sms.

While the system is working well at academic level, there is more to do before the information is useful to subsistence rural farmers living from hand to mouth. The raw data stream requires interpretation and the analysis must come through trusted channels most likely to be the government and tribal chiefs. Kelly Caylor cites the example of a sick child. The temperature reading has no use until a trusted source interprets it.

He has a vision of climate-smart agriculture where tradition gives way to global warming. He involves local farmers in his research by enrolling them when he places pods, and asking them to sms weekly weather reports to him that he correlates with the sensor data. As trust builds, he hopes to help them choose more climate-friendly crops and learn how to reallocate labour as seasons change.

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