2015 – What’s ahead for UK Business?

According to reports just in, the global environment industry is down. Less money is available for what some CEO?s still see as grudge expenditure, and many U.S. agencies are seeking soft budget cuts. The UK is proving to be an exception following the announcement of ESOS, and EcoVaro does not expect the May elections will have much impact in this regard.

ESOS calls for mandatory energy assessments in companies above a certain size, and requires specific proposals to cut consumption. There is no indication of compulsory follow-through, although it is clear the Environment Agency hopes rising electricity prices and the prospect of monetary savings will do the trick.

It is an open question whether the Tory government would have interfered with commerce to this extent, were it not for the European directive that enforced it. The overall goal is to cut EU energy consumption across the board by 20% by 2020. Energy consultants are rubbing their hands in glee. EcoVaro?s response is to provide cloud-based software.

We will be interested to see how many UK companies make the first deadline of 5 December 2015, in the light of reports that half the 9,000 firms affected appear not to even know that ESOS exists. Some will no doubt pay last-minute lip service. Those with an eye on their own sustainability will grasp the Energy Saving Opportunity Scheme with both hands.

The initial ESOS deadline was always going to be a challenge. Some big corporates have stolen a march albeit egged on by green stakeholders. The next challenge comes in June 2015 with the implementation of the European Union?s ?Waste Catalogue? of hazardous substances, and rules for their disposal. We hope a new ISO 14001 will arrive soon and pull the loose threads together.

The introduction of carbon trading late this year brings further opportunities to increase profits through wise stewardship. Auditable metrics are essential for this.

EcoVaro can assist by processing your raw data. We provide this service on a virtual cloud. In return, you can get advice on optimising the quality of your graphs for presentations. 

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How AI Helps Improve Field Service

Its seems that with the current rate of technological innovation that these is something new every single day.  Therefore, you’re always looking forward to a new technological innovation that’s going to help you make your business operations more efficient and automated.

One of the most fascinating milestones in the field of technology is the integration of Artificial Intelligence (AI) in business. In one way or the other, AI gives a glimpse of machine supremacy that allows computers to perform tasks that were initially performed by humans. 

Are machines going to completely replace people in the workplace?

Of course, not.  Technologies like AI and Machine Learning are designed and meant to support employees in doing their tasks too boost their productivity.

AI is predominantly used to eliminate jobs and tasks that humans find boring, demotivating or monotonous. In some cases AI is also used to do jobs that are considered dangerous for humans to preform.

Previously the most common implementations for AI were all about gaming, entertainment, and advanced science,  now it’s spreading into a number of industries including the field service industry.

FieldElite – Field Service Software , can help you optimise the day-to-day operations of your business.

AI in field service management will enhance you business capabilities with:

  • Information Sharing
  • Real Time Updates
  • Automated Workflows
  • Digital Form Data Collection
  • Data Analysis

Improved Customer Service

For Service Based companies, customer retention is vital. Primarily because It can be 5-25 times more costly to acquire a new customer than it is to retain an existing ones.

Therefore customer retention should be a primary focus.? The good news is that by making use of AI you can implement services It can be 5-25 times more costly to acquire a new customer than it is to retain an existing one.

Staying on top of and ensuring you satisfactorily address and meet you customer demands and expectations can be a daunting task.? It can also be an expensive one,? especially for small field service based businesses like :

  • Heating & Plumbing Engineers
  • Electrical Contractors
  • Fire Safety Inspectors
  • HVAC Engineers
  • Facility Management
  • Building, Construction & Trade

Implementing Artificial Intelligence and Machine Learning to automate mundane and repetitive customer administration tasks will enable your staff to be free to provide additional value added tasks for your customers. Making your customers happier.

?Think about the active Chatbots. You can always get complaints directly from customers and address them right away.??

If at any point the customer is unhappy with your services, they can always raise the issue via the Chatbots. Since the bots contain necessary customer information, you can always get back to them and fix the issue at hand.?

With AI in field service, you can solve problems before they arise, or what is otherwise known as predictive maintenance,? In that way, you’ll have better customer relations because you’ll be able to address your customer concerns before they even become aware of them.

Improved Productivity

Scheduling tasks and managing the workforce isn’t a walk in the park. It goes beyond assigning tasks to your team members in the field and giving them deadlines to meet. Whether it’s a small firm or a big organisation, it’s quite difficult to organise the workforce.?

However, adopting Artificial Intelligence can iron out the difficulties most field organisations face in scheduling and managing tasks. Some years back, most firms relied on human intelligence to dispatch jobs to the right people based on given conditions. This was quite difficult, especially that it wasn’t always successful. But thanks to AI. With field service apps like FieldElite scheduling tasks and managing workforce is only a few clicks away.?

What’s more? There?s no room for error. Therefore, you’ll always match the right people for the job. Again, your team will always get tasks on time. That means, the job completion rate will go up, and hence the workforce becomes more productive.?

Predictive Maintenance

Usually, most business operations are based on ?solve the problem as it occurs?, which is just OK. However, it’s not always safe to wait until a problem occurs so that you solve it. Prevention is better than cure, and that’s why Artificial Intelligence comes handy in Field Service.

Using FieldElite Workforce Management Software , you don’t have to wait until something breaks.? Utilizing AI in field service enables you to proactively address field service needs and prevent unforeseen failures and interruptions.?

The ability to predict field service needs through field service apps like FieldElite enables you to make more accurate forecasts. In this way, resource planning is made easier, and as such, you’ll have smoothly running workflows. Again, by taking care of unforeseen circumstances in advance, you’re flexible enough to take care of the unexpected. And that means the overall productivity of your business will go up.

Job Management

Most field service jobs involve multiple stages that can take several days to complete. In addition to this, more often than not, you have to coordinate lots of equipment and contractors at the same time. All these can’t be achieved solely by human efforts. For more successful outcomes, it’s important to incorporate Artificial Intelligence in your field service operations.?

FieldElite is the field service solution that can help you manage sophisticated tasks. The app is packed with field service management tools that enable you to assign complicated tasks and keep track of your field techs. For long-cycle jobs, FieldElite app enables you to follow up on the activities going on the field to ensure they’re completed.?

With AI, there?s no room for error even when the jobs become more sophisticated.

Data Analysis

?

Field service industry involves lots of data. Some years back, organisations depended on human intelligence to analyse big data. Well, things still worked out, but as a human is to err, the outcome wasn’t always perfect. However, with Artificial Intelligence data analysis, 100% accuracy in data analysis is achievable. Field service solutions like FieldElite provide sophisticated data analytic tools that enable you to crack massive data and offer accurate solutions.?

FieldElite data analytics capabilities give you an insight into what’s not working and what needs to be improved. In that way, you can always address matters arising and take care of the loopholes.?

It’s time to go paperless with field management software like FieldElite if you?d like to make your business more profitable. Apart from improving the productivity of your workforce, incorporating AI in your business increases profitability. If you’re still doing your usual field rounds with a clipboard, it’s time to simplify your task with FieldElite app.?

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How Alcoa Canned the Cost of Recycling

Alcoa is one of the world?s largest aluminium smelting and casting multinationals, and involves itself in everything from tin cans, to jet engines to single-forged hulls for combat vehicles. Energy costs represent 26% of the company?s total refining costs, while electricity contributes 27% of primary production outlays. Its Barberton Ohio plant shaved 30% off both energy use and energy cost, after a capital outlay of just $21 million, which for it, is a drop in the bucket.

Aluminium smelting is so expensive that some critics describe the product as ?solid electricity?. In simple terms, the method used is electrolysis whereby current passes through the raw material in order to decompose it into its component chemicals. The cryolite electrolyte heats up to 1,000 degrees C (1,832 degrees F) and converts the aluminium ions into molten metal. This sinks to the bottom of the vat and is collected through a drain. Then they cast it into crude billets plugs, which when cooled can be re-smelted and turned into useful products.

The Alcoa Barberton factory manufactures cast aluminium wheels across approximately 50,000 square feet (4,645 square meters) of plant. It had been sending its scrap to a sister company 800 miles away; who processed it into aluminium billets – before sending them back for Barberton to turn into even more wheels. By building its own recycling plant 60 miles away that was 30% more efficient, the plant halved its energy costs: 50% of this was through process engineering, while the balance came from transportation.

The transport saving followed naturally. The recycling savings came from a state-of-the-art plant that slashed energy costs and reduced greenhouse gas emissions. Interestingly enough, processing recycled aluminium uses just 5% of energy needed to process virgin bauxite ore. Finally, aluminium wheels are 45% lighter than steel, resulting in an energy saving for Alcoa Barberton?s customers too.

The changes helped raise employee awareness of the need to innovate in smaller things too, like scheduling production to increase energy efficiency and making sure to gather every ounce of scrap. The strategic change created 30 new positions and helped secure 350 existing jobs.

The direction that Barberton took in terms of scrap metal recycling was as simple as it was effective. The decision process was equally straightforward. First, measure your energy consumption at each part of the process, then define the alternatives, forecast the benefits, confirm and implement. Of course, you also need to be able to visualise what becomes possible when you break with tradition.

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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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