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?

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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Finding the Best Structure for Your Enterprise Development Team

An enterprise development team is a small group of dedicated specialists. They may focus on a new business project such as an IoT solution. Members of microteams cooperate with ideas while functioning semi-independently. These self-managing specialists are scarce in the job market. Thus, they are a relatively expensive resource and we must optimise their role.

Organisation?Size and Enterprise Development Team Structure

Organisation structure depends on the size of the business and the industry in which it functions. An enterprise development team for a micro business may be a few freelancers burning candles at both ends. While a large corporate may have a herd of full-timers with their own building. Most IoT solutions are born out of the efforts of microteams.

In this regard, Bill Gates and Mark Zuckerberg blazed the trail with Microsoft and Facebook. They were both college students at the time, and both abandoned their business studies to follow their dreams. There is a strong case for liberating developers from top-down structures, and keeping management and initiative at arm?s length.

The Case for Separating Microteams from the?Organisation

Microsoft Corporation went on to become a massive corporate, with 114,000 employees, and its founder Bill Gates arguably one of the richest people in the world. Yet even it admits there are limitations to size. In Chapter 2 of its Visual Studio 6.0 program it says,

‘today’s component-based enterprise applications are different from traditional business applications in many ways. To build them successfully, you need not only new programming tools and architectures, but also new development and project management strategies.?

Microsoft goes on to confirm that traditional, top-down structures are inappropriate for component-based systems such as IoT solutions. We have moved on from ?monolithic, self-contained, standalone systems,? it says, ?where these worked relatively well.?

Microsoft’s model for enterprise development teams envisages individual members dedicated to one or more specific roles as follows:

  • Product Manager ? owns the vision statement and communicates progress
  • Program Manager ? owns the application specification and coordinates
  • Developer ? delivers a functional, fully-complying solution to specification
  • Quality Assurer ? verifies that the design complies with the specification
  • User Educator ? develops and publishes online and printed documentation
  • Logistics Planner ? ensures smooth rollout and deployment of the solution

Three Broad Structures for Microteams working on IoT Solutions

The organisation structure of an enterprise development team should also mirror the size of the business, and the industry in which it functions. While a large one may manage small microteams of employee specialists successfully, it will have to ring-fence them to preserve them from bureaucratic influence. A medium-size organisation may call in a ?big six? consultancy on a project basis. However, an independently sourced micro-team is the solution for a small business with say up to 100 employees.

The Case for Freelancing Individuals versus Functional Microteams

While it may be doable to source a virtual enterprise development team on a contracting portal, a fair amount of management input may be necessary before they weld into a well-oiled team. Remember, members of a micro-team must cooperate with ideas while functioning semi-independently. The spirit of cooperation takes time to incubate, and then grow.

This is the argument, briefly, for outsourcing your IoT project, and bringing in a professional, fully integrated micro-team to do the job quickly, and effectively. We can lay on whatever combination you require of project managers, program managers, developers, quality assurers, user educators, and logistic planners. We will manage the micro-team, the process, and the success of the project on your behalf while you get on running your business, which is what you do best.

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A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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Saving Energy Step 3 ? Towards a Variable Energy Bill

Do you remember the days when energy was so cheap we paid the bill almost without thinking about it? Things have changed and we have the additional duty of reducing consumption to help save the planet. This is the third article in our mini-series on saving energy. It follows on from the first that explored implementing a management system, and the second listing practical things to implement on the shop floor. These open up the possibility of the variable energy bill we expand on as follows.

If ?variable energy bill? sounds strange to you, I used the unusual turn of phrase to encourage you to view things in a different light. We need to move on from the ?pie chart? mentality where we focus on the biggest numbers like materials, facilities and labour, and zoom in on energy where we can achieve similar gains faster with less pain. But first, we need to see beyond the jargon that governments and consultants love, and get to grips with the reality that we can vary our energy bill and bring cost down.

As executives we recognise this, although other pressures distract us from accepting it as a personal goal. And so we delegate it down the organisation to a level where it becomes ?another crazy management idea? we have to follow to stay out of trouble. I read somewhere that half the world?s organisations do not have energy as a defined objective to monitor in the C Suite. No wonder commerce is only pecking away at energy wastage at a rate of 1% per year.

Find out where you are ?spending energy? and relate this to your core business. If there are places where you are unable to make a connection, challenge the activity?s right to exist. Following the energy trail produces unexpected benefits because it permeates everything we do.

  • Improved product design reducing time spent in factory
  • Streamlined production schedules reducing machine run times
  • Less wear on equipment reducing costly maintenance
  • A more motivated workforce that is prouder of ?what we do?

As you achieve energy savings you can pass these on in terms of lower prices and greater market share. All this and more is possible when you focus on the variables behind your energy bill. Run the numbers. It deserves more attention than it often gets.

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