ESOS Facts on a Page

The UK?s ESOS energy saving program stands for ?Energy Savings Opportunity Scheme?. Its purpose is to reduce demand – and hence fossil-based pollution at both ends of the supply chain. It currently applies to large UK companies only. However its guidelines are also valuable input to smaller firms voluntarily going greener.

The program threshold is 250 employees and / or turnover or at least ?UK50 million. This affects approximately 9,000 UK firms, with others below the threshold wondering whether the government plans to lower it. In essence, ESOS requires that qualifying businesses complete comprehensive audits of energy use and opportunities at least every fourth year.

The plan is carrot and stick. Compliant companies will probably uncover significant savings when they stop and measure. They may even unearth carbon credits they can sometime exchange for cash. Reactionary firms who try to duck the issue will feel Her Majesty?s wrath through stiff penalties. In time, they may find it harder to attract investors. If ESOS affects your company, then the wise thing could be complying by the first deadline of 5 December 2015.

To do so, you must conduct an energy audit and report it to the UK Environment Agency. This comprises

  1. Measuring total energy use across processes, transport and facilities
  2. Pie charting 90% of this to identify areas that are energy intensive
  3. Singling out cost-effective energy-saving projects in high use areas
  4. Submitting your report to the Environment Agency ahead of the deadline

ecoVaro recommends affected companies do not leave this to the last minute. While having ISO 50001 may exempt some from ESOS, the regulations are far from straightforward and it will take months to reach complete clarification. We would like to suggest a more balanced approach.

ESOS is a wonderful incentive to save energy costs while contributing to a better future for the kids. The Energy Savings Opportunity Scheme is precisely that. The cost of energy has crept up on us to the extent that we have to do something, government or no government.

Measuring energy consumption is as simple as installing meters at critical points in the flow, and you probably have many of them anyway. Once you have your data you no longer have to crunch the numbers. ecoVaro can do this for you and return the result in the form of handy graphs and spreadsheets.

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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.

The Better Way of Applying Benford’s Law for Fraud Detection

Applying Benford’s Law on large collections of data is an effective way of detecting fraud. In this article, we?ll introduce you to Benford’s Law, talk about how auditors are employing it in fraud detection, and introduce you to a more effective way of integrating it into an IT solution.

Benford’s Law in a nutshell

Benford’s Law states that certain data sets – including certain accounting numbers – exhibit a non-uniform distribution of first digits. Simply put, if you gather all the first digits (e.g. 8 is the first digit of ?814 and 1 is the first digit of ?1768) of all the numbers that make up one of these data sets, the smallest digits will appear more frequently than the larger ones.

That is, according to Benford’s Law,

1 should comprise roughly 30.1% of all first digits;
2 should be 17.6%;
3 should be 12.5%;
4 should be 9.7%, and so on.

Notice that the 1s (ones) occur far more frequently than the rest. Those who are not familiar with Benford’s Law tend to assume that all digits should be distributed uniformly. So when fraudulent individuals tinker with accounting data, they may end up putting in more 9s or 8s than there actually should be.

Once an accounting data set is found to show a large deviation from this distribution, then auditors move in to make a closer inspection.

Benford’s Law spreadsheets and templates

Because Benford’s Law has been proven to be effective in discovering unnaturally-behaving data sets (such as those manipulated by fraudsters), many auditors have created simple software solutions that apply this law. Most of these solutions, owing to the fact that a large majority of accounting departments use spreadsheets, come in the form of spreadsheet templates.

You can easily find free downloadable spreadsheet templates that apply Benford’s Law as well as simple How-To articles that can help you to implement the law on your own existing spreadsheets. Just Google “Benford’s law template” or “Benford’s law spreadsheet”.

I suggest you try out some of them yourself to get a feel on how they work.

The problem with Benford’s Law when used on spreadsheets

There’s actually another reason why I wanted you to try those spreadsheet templates and How-To’s yourself. I wanted you to see how susceptible these solutions are to trivial errors. Whenever you work on these spreadsheet templates – or your own spreadsheets for that matter – when implementing Benford’s Law, you can commit mistakes when copy-pasting values, specifying ranges, entering formulas, and so on.

Furthermore, some of the data might be located in different spreadsheets, which can likewise by found in different departments and have to be emailed for consolidation. The departments who own this data will have to extract the needed data from their own spreadsheets, transfer them to another spreadsheet, and send them to the person in-charge of consolidation.

These activities can introduce errors as well. That’s why we think that, while Benford’s Law can be an effective tool for detecting fraud, spreadsheet-based working environments can taint the entire fraud detection process.

There?s actually a better IT solution where you can use Benford’s Law.

Why a server-based solution works better

In order to apply Benford’s Law more effectively, you need to use it in an environment that implements better controls than what spreadsheets can offer. What we propose is a server-based system.

In a server-based system, your data is placed in a secure database. People who want to input data or access existing data will have to go through access controls such as login procedures. These systems also have features that log access history so that you can trace who accessed which and when.

If Benford’s Law is integrated into such a system, there would be no need for any error-prone copy-pasting activities because all the data is stored in one place. Thus, fraud detection initiatives can be much faster and more reliable.

You can get more information on this site regarding the disadvantages of spreadsheets. We can also tell you more about the advantages of server application solutions.

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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