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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Data Replication

These days, not many companies can continue to operate once their entire computer system goes down. All the information needed in daily operations are stored in databases while the interfaces that make use of them all come in the form of software applications.

Software applications can be rapidly reinstalled and configured for as long as the necessary programs are available. Data, however, cannot be reconstructed as quickly even with hard copies available. It is therefore necessary to store your data in a replicated setup so that when one section goes down, operations can proceed without interruption.

For instance, if a category 5 hurricane renders your main office useless, you can simply rent workstations elsewhere, connect to the Internet and continue with your usual transactions for as long as data is readily accessible.

So how do we ensure the accessibility and reliability of your data? Here’s what we’ll do:

Activate data replication on your database management system. If your DBMS does not support replication, we’ll migrate all your data to one that does.
If absolutely necessary, we can allow modernised systems to run parallel to your legacy systems and prepare both for full modernisation when you’re ready.
Implement fail-over technologies where applicable to provide for automatic switching to a backup data server or network from one that has just failed.

We can also assist you with the following:

Using Pull Systems to Optimise Work Flows in Call Centres

When call centres emerged towards the end of the 20^th century, they deserved their name ?the sweatshops of the nineties?. A new brand of low-paid workers crammed into tiny cubicles to interact with consumers who were still trying to understand the system. Supervisors followed ?scientific management? principles aimed at maximising call-agent activity. When there was sudden surge in incoming calls, systems and customer care fell over.

The flow is nowadays in the opposite direction. Systems borrowed from manufacturing like Kanban, Pull, and Levelling are in place enabling a more customer-oriented approach. In this short article, our focus is on Pull Systems. We discuss what are they, and how they can make modern call centres even better for both sets of stakeholders.

Pull Systems from a Manufacturing Perspective

Manufacturing has traditionally been push-based. Sums are done, demand predicted, raw materials ordered and the machines turned on. Manufacturers send out representatives to obtain orders and push out stock. If the sums turn out wrong inventories rise, and stock holding costs increase. The consumer is on the receiving end again and the accountant is irritable all day long.

Just-in-time thinking has evolved a pull-based approach to manufacturing. This limits inventories to anticipated demand in the time it takes to manufacture more, plus a cushion as a trigger. When the cushion is gone, demand-pull spurs the factory into action. This approach brings us closer to only making what we can sell. The consumer benefits from a lower price and the accountant smiles again.

Are Pull Systems Possible in Dual Call Centres

There are many comments in the public domain regarding the practicality of using lean pull systems to regulate call centre workflow. Critics point to the practical impossibility of limiting the number of incoming callers. They believe a call centre must answer all inbound calls within a target period, or lose its clients to the competition.

In this world-view customers are often the losers. At peak times, operators can seem keen to shrug them off with canned answers. When things are quiet, they languidly explain things to keep their occupancy levels high. But this is not the end of the discussion, because modern call centres do more than just take inbound calls.

Using the Pull System Approach in Dual Call Centres

Most call centre support-desks originally focused are handling technical queries on behalf of a number of clients. When these clients? customers called in, their staff used operator?s guides to help them answer specific queries. Financial models?determined staffing levels and the number of ?man-hours? available daily. Using a manufacturing analogy, they used a push-approach to decide the amount of effort they were going to put out, and that is where they planted their standard.

Since these early 1990 days, advanced telephony on the internet has empowered call centres to provide additional remote services in any country with these networks. They have added sales and marketing to their business models, and increased their revenue through commissions. They have control over activity levels in this part of their business. They have the power to decide how many calls they are going to make, and within reason when they are going to make them.

This dichotomy of being passive regarding incoming traffic on the one hand, and having active control over outgoing calls on the other, opens up the possibility of a partly pull-based lean approach to call centre operation. In this model, a switching mechanism moves dual trained operators between call centre duties and marketing activities, as required by the volume of call centre traffic, thus making a pull system viable in dual call centres.

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Uncover hidden opportunities with energy data analytics

What springs to mind when you hear the words energy data analytics? To me, I feel like energy data analytics is not my thing. Energy data analytics, however, is of great importance to any organisation or business that wants to run more efficiently, reduce costs, and increase productivity. Energy efficiency is one of the best ways to accomplish these goals.

Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

The application of Data and IT could drive significant cost savings in company-owned buildings and vehicle fleets. Virtual energy audits can be performed by combining energy meter data with other basic data about a building e.g. location, to analyse and identify potential energy savings opportunities. Investment in energy dashboards can further enable companies to have an ongoing look at where energy is being consumed in their buildings, and thus predict ways to reduce usage, not to mention that energy data analytics unlock savings opportunities and help companies to understand their everyday practices and operating requirements in a much more comprehensive manner.

Using energy data analytics can enable an organisation to: determine discrepancies between baseline and actual energy data; benchmark and compare previous performance with actual energy usage. Energy data analytics also help businesses and organisations determine whether or not their Building Management System (BMS) is operating efficiently and hitting the targeted energy usage goals. They can then use this data to investigate areas for improvement or energy efficient upgrades. When energy data analytics are closely monitored, companies tend to operate more efficiently and with better control over relevant BMS data.