Field service and its impact on your bottom line

There are many pointers to successful field service in any business. Generally, labour hours, parts, technician efficiency, performance indicators and other bunch of data are the most important. However, the icing on top is the total revenue. If you are in business, you must be cocksure that it’s making money, and when you don’t rake in enough you need to make some business decisions quick!

For the most part, field service companies will always have a field service management software to handle all the data. But how will this affect your outlook?

Will this cause a direct increase in revenue?

What will still need to be changed so that the ship stays afloat?

Increase your service jobs

As expected, the best field management software will guarantee a positive increase in appointments per week. On average, the field service team should expect at least a 50% increase in work turnover. There is a direct relation between the revenue you should be making and the number of calls in your schedule since the only way of making more cash is to get more work done. It is not recommended to raise costs because it increases the risk of losing customers easy when they can’t meet the extra expense. Field service software will help you bring in more customers and also manage technicians.

If you have much of the hard work done for you then you?d have more time to run the show. This is why premises are trying out software because they answer many problems like:

Automation and improved work order management
Fast dispatch from an array of drag-drop scheduling tools
Easy-to-use field service apps for technicians to receive and submit work orders
Can be integrated into account systems for faster billing time

Manual operations are costly and prone to error, and they don’t come cheap. Do away with them, reduce costs, sit back and watch as new customers steadily stream in. Grow the business by building lasting relations with your workforce and customers.

Increase technician?s abilities with mobile

If you want to get more profit, bank on technicians who complete service calls. Their task is obviously the hardest. They have an unpredictable job; at times they need to come up with quick responses or they may also be required to dig deep as well. The work does not need to be slowed with an endless paper trail while they could be elsewhere giving their all. These technicians require a working mobile field service management app.

As expected, field service leaders who use a mobile field service software report close to 20% increase in service visits per technician. This translates to each technician taking nearly a fifth more calls in a day. And as we had said before, more service calls can double the profits. How can technicians get extra time from a field service mobile app?

No need to drive to work to pick orders
Less time using the phone looking for service or parts information
Reduces the time needed to go through paper-based work
Less time driving to service calls because information is routed to their mobile phones

Increase revenue from technicians

If time is spent seamlessly, dispatchers will find time in a technician?s schedule for an extra service call. With all this being done within normal working hours, the business stands to increase its bottom line. This is what makes the business grow. Not by increasing technicians but by optimum utilisation of the current staff to get maximum profit. The logic is straightforward ? a technician working 8 hours each day taking six calls a day will make more revenue than the one who takes four, because they are paid the same each, but the business benefits from the extra service calls.

The business stands to make more revenue per technician if it uses field service management software. The margins can go as high as 40% because the technician has all tools needed to get the job done faster. You increase revenue from field work too. Let technicians benefit from automated process and have all the tools for work that they need right on their mobile devices.

The target is always your bottom line

When field service leaders inquire about field service software, they need to know how it affect the bottom line: how they will spend less time drafting schedules, how each technician will increase revenue, how the business will grow. Simple as that!
Field service management applications bring a lot to the table.

Don’t waste your time crunching a lot of numbers or sorting out schedules since this is what such an application should do. Automation, optimisation and mobility are all ways of increasing revenue. Let us help you reach your goals using our top shelf field management software. This will not only help your bottom line but will let you have more time to venture into untapped potentials.

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What Kanban can do for Call Centre Response Times

When a Toyota industrial engineer named Taiichi Ohno was investigating ways to optimise production material stocks in 1953, it struck him that supermarkets already had the key. Their customers purchased food and groceries on a just-in-time basis, because they trusted continuity of supply. This enabled stores to predict demand, and ensure their suppliers kept the shelves full.

The Kanban system that Taiichi Ohno implemented included a labelling system. His Kanban tickets recorded details of the factory order, the delivery destination, and the process intended for the materials. Since then, Ohno?s system has helped in many other applications, especially where customer demand may be unpredictable.

Optimising Workflow in Call Centres
Optimising workflow in call centres involves aiming to have an agent pick up an incoming call within a few rings and deal with it effectively. Were this to be the case we would truly have a just-in-time business, in which operators arrived and left their stations according to customer demand. For this to be possible, we would need to standardise performance across the call centre team. Moving optimistically in that direction we would should do these three things:

Make our call centre operation nimble
Reduce the average time to handle calls
Decide an average time to answer callers

When we have done that, we are in a position to apply these norms to fluctuating call frequencies, and introduce ?kanbanned? call centre operators.

Making Call Centre Operations Nimble
The best place to start is to ask the operators and support staff what they think. Back in the 1960?s Robert Townsend of Avis Cars famously said, ?ask the people ? they know where the wheels are squeaking? and that is as true as ever.

Begin by asking technical support about downtime frequencies, duration, and causes. Given the cost of labour and frustrated callers, we should have the fastest and most reliable telecoms and computer equipment we can find.

Then invest in training and retraining operators, and making sure the pop-up screens are valuable, valid, and useful. They cannot do their job without this information, and it must be at least as tech-savvy as their average callers are.

Finally, spruce up the call centre with more than a lick of paint to awaken a sense of enthusiasm and pride. Find time for occasional team builds and fun during breaks. Tele-operators have a difficult job. Make theirs fun!

Reducing Average Time to Handle Calls
Average length of contact is probably our most important metric. We should beware of shortening this at the cost of quality of interaction. To calculate it, use this formula:

Total Work Time + Total Hold Time + Total Post Call Time

Divided By

Total Calls Handled in that Period

Share recordings of great calls that highlight how your best operators work. Encourage role-play during training sessions so people learn by doing. Publish your average call-handling time statistics. Encourage individual operators to track how they are doing against these numbers. Make sure your customer information is up to date. While they must confirm core data, limit this so your operators can get down to their job sooner.

Decide a Target Time to Answer Calls
You should know what is possible in a matter of a few weeks. Do not attempt to go too tight on this one. It is better to build in say 10% slack that you can always trim in future. Once you have decided this, you can implement your Kanban system.

Introducing Kanban in Your Call Centre Operation
Monitor your rate of incoming calls through your contact centre, and adjust your operator-demand metric on an ongoing basis. Use this to calculate your over / under demand factor. Every operator should know the value on this Kanban ticket. It will tell them whether to speed up a little, or slow down a bit so they deliver the effort the call rate demands. It will also advise the supervisor when to call up reserves.

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ESOS Guide for UK Manufacturers Available

The Engineering Employers’ Federation (EEF) is the UK’s largest sectoral structure. Its goal is to promote the interests of manufacturing, engineering and technology-based businesses in order to enhance their competitiveness.

EEF has positioned itself in London and Brussels in order to be in a position to lobby at EU and Westminster level. Part of its role is helping its members adapt to change and capitalise on it. When it discovered that a third of UK manufacturers must comply with ESOS (and 49% had not even heard of it) EEF decided it was time to publish a handbook for its members.

According to EEF’s head of climate and environment policy Gareth Stace, For the many manufacturers that have already taken significant steps to improve energy efficiency, ESOS can be viewed as a ?stock taking exercise?, ensuring that momentum is maintained and new measures are highlighted and taken when possible?.

He goes on to add that others that have not begun the process should view it as an ‘impetus’ to go head down and find the most cost-effective ways to slash energy costs. Ecovaro adds that they would also have the opportunity to reduce carbon emissions almost as a by-product.

Firms with more than 250 employees, over 250 million revenue or both must comply with ESOS across all UK sectors. In simplest terms, they must have conducted an energy audit by 5th December 2015, and logged their energy saving plan with the Environmental Agency that is Britain?s sustainability watchdog.

The Department of Energy & Climate Change (DEEC) that oversees it believes that large UK businesses are wasting ?2.8 billion a year on electricity they do not need. Clearly it makes sense to focus on larger targets; however EcoVaro believes those halfway to the threshold should voluntarily comply if cutting their energy bills by 25% sounds appealing.

We are able to assist with interpreting their energy audits. These are often a matter of installing sub-meters at distribution points, and reading these for a few representative months to establish a trend. Meters are inexpensive compared to electricity costs, and maintenance teams can install them during maintenance shutdowns.

Ecovaro helps these firms process the data into manageable summaries using cloud-based technology. This is on a pay-when-used basis, and hence considerably cheaper than acquiring the software, or appointing a consultant.

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.