Spreadsheet Woes – Ill-Equipped for an Agile Business Environment

These days, crucial business decisions have to be made in a split second. However, the quality of these decisions hinges quite often on timely, insightful information and relevant business reporting.

How effective is your business reporting solution in providing you with the information you need at the time you need it?

Chances are, like 75% of small and medium businesses, your company is using spreadsheets. True, spreadsheets are the most common go-to solutions for on-the-fly forecasting, but they may not be your best option for presenting information that require consolidation and in-depth analysis and involve a lot of number crunching, especially with critical data at stake.

Furthermore, spreadsheet-based reports are rarely produced in a timely manner. In today?s fast evolving business environment where flexibility, mobility, and timeliness are the order of the day, this simply won’t do.

Let’s take a look at the particular areas where spreadsheets fall short when it comes to providing dynamic and sound financial reports:

Collaboration

With rapidly changing market conditions, organisations have to conduct budgeting, forecasting, and planning more often. Hectic schedules and geographical distances aren’t a hindrance though, because technologies like the Internet, advanced telecommunications and mobile devices can put instantaneous collaboration at everyone?s fingertips.

But collaborative activities in a dynamic setting can only succeed if all participating individuals are given secure, real time and simultaneous access to the same relevant information. This way, every change made is automatically consolidated and projected unto the bigger picture for everyone to digest.

Alas, spreadsheets aren’t built for this.

Cost Efficiency

Whether we’re in a recession or not, cost efficiency has to be taken into consideration. Are spreadsheets really the cost-effective solution?

Think ?time is money?. With the length of time needed to prepare data, establish controls, consolidate reports and distribute copies, you’ll realise how expensive spreadsheets actually are.

The ability to innovate in a changing economic environment and limited resources – a valuable derivative of agile practices – can give your company a very significant advantage. But dedicating so much time on spreadsheet management can strip your organisation of room for innovation.

Quality of Reports

Business empires rise and fall on the power of relevant information. At the end of the day, top management should assess their sources of key performance reports, planning tools and budgeting applications using these parameters:

  • Does your financial reporting system give you the right information right when you need it?
  • Do the reports allow you to look beyond the numbers to spot trends or forecast changes in the market?
  • Do they furnish enough significant data for you to make informed decisions in good time?

Spreadsheets weren’t designed to analyse data on the enterprise level. As a result, spreadsheet reports often take far too long to prepare and more importantly, may lack the dimension and depth that are crucial in decision making.

Data Reliability

We’re all familiar with the risks associated with spreadsheets. This error-prone UDA can provide inaccurate information simply because of a broken link, an incomplete range, a deleted number, or an incorrect formula. In an active business scenario where data manipulation has to be done under constant time pressure, the risk probabilities escalate.

As they always say, ?If anything can go wrong, it will?. With spreadsheets, a lot of things could go wrong. Is this the kind of tool you?d like to work with when making fast, crucial decisions? If you’re still using spreadsheets, then you?d best forget about dynamic reports and rolling forecasts.

Inability to adapt to personnel turnover

A key challenge in maintaining the spreadsheet system is picking up where another left off. A user would find it difficult to debug, revise, or analyse a spreadsheet system he developed himself and the process becomes doubly complicated if or when another person takes over.

Starting from scratch is painfully counterproductive, so that a newcomer has to spend hours figuring out the original entries in the spreadsheet and the reports it yields.

While no one is indispensable in any organisation, it’s pretty much accurate to say that if a spreadsheet ?developer? leaves, it could momentarily halt the production of key finance reports. In a fast changing business landscape, such failure to monitor performance at critical times could sound the death knell for your company.

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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Directions Hadoop is Moving In

Hadoop is a data system so big it is like a virtual jumbo where your PC is a flea. One of the developers named it after his kid?s toy elephant so there is no complicated acronym to stumble over. The system is actually conceptually simple. It has loads of storage capacity and an unusual way of processing data. It does not wait for big files to report in to its software. Instead, it takes the processing system to the data.

The next question is what to do with Hadoop. Perhaps the question would be better expressed as, what can we do with a wonderful opportunity that we could not do before. Certainly, Hadoop is not for storing videos when your laptop starts complaining. The interfaces are clumsy and Hadoop belongs in the realm of large organisations that have the money. Here are two examples to illustrate the point.

Hadoop in Healthcare

In the U.S., healthcare generates more than 150 gigabytes of data annually. Within this data there are important clues that online training provider DeZyre believes could lead to these solutions:

  • Personalised cancer treatments that relate to how individual genomes cause the disease to mutate uniquely
  • Intelligent online analysis of life signs (blood pressure, heart beat, breathing) in remote children?s hospitals treating multiple victims of catastrophes
  • Mining of patient information from health records, financial status and payroll data to understand how these variables impact on patient health
  • Understanding trends in healthcare claims to empower hospitals and health insurers to increase their competitive advantages.
  • New ways to prevent health insurance fraud by correlating it with claims histories, attorney costs and call centre notes.

Hadoop in Retail

The retail industry also generates a vast amount of data, due to consumer volumes and multiple touch points in the delivery funnel. Skillspeed business trainers report the following emerging trends:

  • Tracing individual consumers along the marketing trail to determine individual patterns for different demographics and understand consumers better.
  • Obtaining access to aggregated consumer feedback regarding advertising campaigns, product launches, competitor tactics and so on.
  • Staying with individual consumers as they move through retail outlets and personalising their experience by delivering contextual messages.
  • Understanding the routes that virtual shoppers follow, and adding handy popups with useful hints and tips to encourage them on.
  • Detecting trends in consumer preferences in order to forecast next season sales and stock up or down accordingly.

Where to From Here?

Big data mining is akin to deep space research in that we are exploring fresh frontiers and discovering new worlds of information. The future is as broad as our imagination.?

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Top 10 Disadvantages of Spreadsheets

Fraudulent manipulations in company Excel files have already resulted in Billion-Dollar losses. The main underlying reason behind this spreadsheet vulnerability is the inherent lack of controls, which makes it so easy to alter either formulas, values, or dependencies without being detected.


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1. Vulnerable to Fraud

Of all the spreadsheet disadvantages listed here, this is perhaps the most damaging. Fraudulent manipulations in company Excel files have already resulted in Billion-Dollar losses. The main underlying reason behind this spreadsheet vulnerability is the inherent lack of controls, which makes it so easy to alter either formulas, values, or dependencies without being detected.

2. Susceptible to trivial human errors

While fraud will always be a threat to spreadsheet systems, there is a more significant threat that should make you seriously consider getting rid of these outdated systems. And that is its extreme susceptibility to even trivial human errors. Missed negative signs and misaligned rows may sound harmless.

But when they damage investor confidence or cause a considerable loss of opportunity amounting to millions of dollars (Are we serious? Google up ?spreadsheet horror stories? to find out), you should understand that it?s time to move on to better alternatives.

3. Difficult to troubleshoot or test

So how about testing spreadsheets to mitigate the risks of items 1 and 2? Good luck. Spreadsheets just aren?t built for that. It?s not uncommon to have interrelated spreadsheet data scattered across different folders, workstations, offices, or even geographical locations.

Worse, even if you are able pinpoint the locations of every related file, tracing the logic of formulas from one related cell to another can take ages. It?s pretty obvious now how you?ll also encounter a similar problem when troubleshooting questionable data.

4. Obstructive to regulatory compliance

Combine items 1, 2, and 3, and what do you get? A big headache impacting regulatory compliance. There are number of regulations that have a serious impact on the use of spreadsheets.

Some of the many regulations that impact spreadsheet systems include:

And to think it looks like regulatory bodies are just getting warmed up. Over the last two decades, we’ve seen a surge in regulations that directly affect spreadsheet-based systems. Now, you tell me that you haven?t wished there was a better way to beat regulatory compliance deadlines. Well, if you?re still using spreadsheets, then there certainly is a better way.

5. Unfit for agile business practices

We’re now in an age when major changes are shaping and reshaping the business landscape. Mergers and Acquisitions, Management Buyouts, earthquakes, tsunamis, hurricanes, uprisings, climate change, new technologies, and so on. If your business is not agile enough to adapt to such changes, it could easily be left behind or even face extinction.

Spreadsheets are normally created by individuals who have not the slightest know-how regarding software documentation. In the end, spreadsheet files become highly personalised user developed applications. So when it?s time for a new person to take over as part of a large scale business change, the newcomer may have to start from scratch.

Read further about Implementing Large-Scale Business Change

 

6. Not designed for collaborative work

Planning, forecasting, budgeting, and reporting are all collaborative activities. In other words, plans, forecasts, budgets, and reports typically require information from different individuals belonging to different departments. In addition, the final documents are a result of multiple exchanges of data, ideas, and files.

Now, if your company?s offices are scattered throughout the country or if certain team members are separated by large distances, the only way to exchange data stored in spreadsheets is through email.

Experience will tell you that such a method of exchange is susceptible to duplicate and even erroneous data. Team members will tend to find it hard to keep track of similar files going back and forth, and sometimes even end up sending the wrong version.

7. Hard to consolidate

When it comes to simple data entry and quick ad hoc data analysis tasks, spreadsheets are highly favoured by end users. This has made them one of the most ubiquitous office tools on the planet. But as a consequence, data in spreadsheet-based systems are distributed throughout the organisation.

So when it’s time to generate reports, you’ll really have to go through a slow consolidation process. In most cases, end users would have to collect data from different files, summarise them, and submit the same to their department heads through emails, portable storage media (e.g. CDs or USB flash-drives), or by copying to a commonly shared network folder.

Department heads would have to undergo a similar process before submitting them to their own superiors. This has to go on until all the information reaches their organisation’s top decision makers. Throughout the entire consolidation process, data is subjected to numerous error-prone activities such as copy-pasting, cell entry, and range specification.

8. Incapable of supporting quick decision making

In a spreadsheet-based environment, extracting data from different departments, consolidating them, and summarising the information so that it could aid the company’s top brass in making sound decisions can be very time consuming.

And because we know how susceptible spreadsheets are to errors, everyone involved in the information processing has to be ultra careful to keep the integrity of the data intact. Hence it would be prudent to enforce double-checking as much as possible.

This extra but necessary exercise can further delay the process. So, when the final information arrives at the hands of the top executive, he may not have much time to work with. (Read about Business Intelligence)

9. Unsuited for business continuity

As mentioned earlier, data in spreadsheet systems are never kept in a single place. In fact, it’s the exact opposite. The worse thing about it is that they’re always in the hands of non-IT personnel, who are understandably not familiar with storage and backup best practices.

Thus, if a major disaster strikes, full data recovery can be very difficult if not impossible. As a consequence, even if the company has financial reserves, the absence of data (e.g. accounts receivable records, customer records, and inventory) to work on can prevent the company from making a quick restart.

10. Scales poorly

As an organisation grows, data in spreadsheet-based systems get more distributed; subsequently compounding the issues outlined above. It is absolutely not advisable for a large organisation to keep using spreadsheets.

 

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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amazon.co.uk

 

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  • (+44)(0)20-7193-9751 – UK
UK Government Updates ESOS Guidelines

Britain?s Environment Agency has produced an update to the ESOS guidelines previously published by the Department of Energy and Climate Change. Fortunately for businesses much of it has remained the same. Hence it is only necessary to highlight the changes here.

  1. Participants in joint ventures without a clear majority must assess themselves individually against criteria for participation, and run their own ESOS programs if they comply.
  2. If a party supplying energy to assets held in trust qualifies for ESOS then these assets must be included in its program.
  3. Total energy consumption applies only to assets held on both the 31 December 2014 and 5 December 2015 peg points. This is relevant to the construction industry where sites may exchange hands between the two dates. The definition of ?held? includes borrowed, leased, rented and used.
  4. Energy consumption while travelling by plane or ship is only relevant if either (or both) start and end-points are in the UK. Foreign travel may be voluntarily included at company discretion. The guidelines are silent regarding double counting when travelling to fellow EU states.
  5. The choice of sites to sample is at the discretion of the company and lead assessor. The findings of these audits must be applied across the board, and ?robust explanations? provided in the evidence pack for selection of specific sites. This is a departure from traditional emphasis on random.

The Environment Agency has provided the following checklist of what to keep in the evidence pack

  1. Contact details of participating and responsible undertakings
  2. Details of directors or equivalents who reviewed the assessment
  3. Written confirmation of this by these persons
  4. Contact details of lead assessor and the register they appear on
  5. Written confirmation by the assessor they signed the ESOS off
  6. Calculation of total energy consumption
  7. List of identified areas of significant consumption
  8. Details of audits and methodologies used
  9. Details of energy saving opportunities identified
  10. Details of methods used to address these opportunities / certificates
  11. Contracts covering aggregation or release of group members
  12. If less than twelve months of data used why this was so
  13. Justification for using this lesser time frame
  14. Reasons for including unverifiable data in assessments
  15. Methodology used for arriving at estimates applied
  16. If applicable, why the lead assessor overlooked a consumption profile

Check out: Ecovaro ? energy data analytics specialist 

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