Proactive Preventative Maintenance: How IoT and Field Service Management Software Helps

FieldElite, our mobile workforce management software, has been key to several industries? return on investment. Whether it’s for plumbing, electrical, property management, cleaning, and maintenance, FieldElite has provided data centralisation for efficient management of these business activities. 

Field service management software is important to utilise current workload, and also helps resolve future issues. We’re talking about a proactive approach to preventative maintenance. 

How exactly do field service managements help in preventative maintenance? 

The answer lies in how field service management is interlinked with IoT in predicting future jobs for the mobile service industry.  

What is IoT? 

Simply put, the Internet of Things (IoT) is a network of devices and sensors connected to the internet. These ?things? (e.g. your smartphone or smartwatch) enable data to be sent and be received without human intervention.

Fundamentally, IoT is about devices being connected to the internet to allow remote monitoring. 

For many years now, remote monitoring for IT infrastructure has been widely used. 

What’s new that we’re experiencing right now is even the smallest devices ? individual light bulbs and sensors ? can have a network and internet connection, allowing entire systems to be monitored in great detail. 

Implementing IoT and accessing data can be challenging for most service organisations. However, when combined with predictive analytics and field management software, it can have a huge potential impact on individual businesses and the service industry as a whole. 

What is Preventative Maintenance? 

Preventive maintenance refers to regular, routine maintenance to help keep equipment up and running, preventing any unplanned downtime and expensive costs from unanticipated equipment failure. 

The goal of preventative maintenance is to decrease the likelihood of a machine or an equipment’s failure by performing regular maintenance. 

Preventative management can be very complex, especially for companies with a fleet of equipment or customers. It requires careful planning and scheduling of maintenance on equipment before there is an actual problem. 

Also, preventive maintenance is evolving. It’s not just about scheduling the same work every month to prevent failure anymore. Today, working smarter with better information about equipment conditions is critical to ensure maintenance is effective.

That’s where IoT and field service management software, like FieldElite, comes in. Together, they organise and carry out preventive maintenance needs for service industries. 

How IoT and FieldElite Helps in Preventative Maintenance

With FieldElite and IoT technology, you get the best in preventive maintenance management.

  • Evaluation of equipment or machines ? the condition of machines or equipment is evaluated in order to predict when maintenance needs to be performed. 
  • Automated work order ? automated time-based work order creation
  • Full condition-based plans allows you to do the following:
    • Right-size your maintenance work
    • Lower costs
    • Extend the life of your or customer?s assets 
  • Quicker reporting ? due to its efficient and automated nature, IoT and field service management software can reduce a field technician?s average report time from two weeks to two days, therefore boosting your cash flow! 

That’s the most important result a mobile service management software can produce (in connection with preventative maintenance). It’s cost-saving! This can be achieved over routine or time-based preventive maintenance, as tasks are only performed when they are needed. 

The Internet of Things (IoT) and field service management software is changing field service as we know it. 

Companies who adapt and utilise these technologies will benefit the most from the resulting competitive advantage of preventative maintenance. 

Start elevating every field service experience now!  

Our field service software, FieldElite helps you: 
  • Accepts jobs in the field
  • Automate appointment scheduling
  • Manage scheduled jobs 
  • Get real-time visibility into all operations
  • Have a clear and easy viewing of job locations 
  • Resolve field service calls faster 
  • Enable mobile workers to get the job done right
  • Keep customers updated at every step 
  • Create quotations and accept payments 
  • Analyse efficient reports from field technicians
  • Helps in proper preventative maintenance management. 

Learn how to schedule jobs to field workers with ease. Check out FieldElite! 

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Spreadsheet Risk Issues

It is interesting to note that the riskiness of operational spreadsheets are overlooked even by companies with high standards of risk management. Only when errors amount to actual losses do they realize that these risks have been staring them in the face all along.

Common spreadsheet risk issues

Susceptibility to trivial manual errors

Due to the fundamental structure of spreadsheets, a slight change in the formula or value in any of their inhabited cells may already affect their overall output. An

  • accidental copy-paste,
  • omission of a negative sign,
  • erroneous range selection,
  • incorrect data input or
  • unintentional deletion of a character,cell, range, column, or row

are just some of the simple errors spreadsheet users frequently encounter. Rarely are there any counter-checking controls in place in a spreadsheet-based activity and manual errors therefore easily go undetected.

Possibility of the user working on the wrong version

How do you store spreadsheet files?

Since the most common reports are usually generated on a monthly basis, users tend to store them using variations of these two configurations:

spreadsheet storage

If you notice, a user can accidentally work on the wrong version with any of these structures.

Prone to inconsistent company-wide reporting

This happens when a summary or ?final? spreadsheet is fed information by different departments coming from their own spreadsheets. Even if most of the data in their spreadsheets come from one source (the company-wide database), erroneous copy-pasting and linking, or even different interpretations of the same data can result to contradicting information in the end.

Often defenceless against unauthorised access

Some spreadsheets contain information needed by various individuals or department units in an organisation. Hence, they are often shared via email or through shared folders in a network. Now, because spreadsheets don’t normally use any access control, any user can easily open a spreadsheet file and view or modify the contents as he wishes.

Highly vulnerable to fraud

A complex spreadsheet system with zero or very minimal controls provides the perfect setting for would-be fraudsters. Hidden cells with malicious formulas and links to bogus information can go unnoticed for a long time especially if the final figures don’t deviate much from expected values.

Spreadsheet risk mitigation solutions may not suffice

Inherent complexity makes testing and logic inspection very time consuming

Deep testing can uncover possible errors hidden in spreadsheet cells and consequently mitigate risks. But spreadsheets used to support financial reporting are normally large, complex, highly-personalised and, without ample supporting documentation, understandably hard to follow.

No clear ownership of risk management responsibilities

There?s always a dilemma when an organisation starts assigning risk management responsibilities for spreadsheets. IT personnel believe users in the business side of the organisation should be responsible since they are the ones who create, edit, store, duplicate, and share the spreadsheet files. On the other hand, users believe IT should be responsible since they have always been in-charge of managing IT infrastructure, applications, and files.

To get rid of spreadsheet risks, you’ll have to get rid of spreadsheets altogether

One remedy is to have a risk management activity that involves both IT personnel and spreadsheet users. But wouldn’t you want to get rid of the complexity of having to distribute the responsibilities between the two parties instead of just one?

Learn more about Denizon’s server application solutions and how you can get rid of spreadsheet risk issues.

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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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Sources of Carbon Emissions

Exchange of carbon dioxide among the atmosphere, land surface and oceans is performed by humans, animals, plants and even microorganisms. With this, they are the ones responsible for both producing and absorbing carbon in the environment. Nature?s cycle of CO2 emission and removal was once balanced, however, the Industrial Revolution began and the carbon cycle started to go wrong. The fact is that human activities substantially contributed to the addition of CO2 in the atmosphere.

According to statistics gathered by the Department of Energy and Climate Change, carbon dioxide comprises 82% of UK?s greenhouse gas emissions in 2012. This makes carbon dioxide the main greenhouse gas contributing to the pollution and subsequent climate change in UK.

Types of Carbon Emissions

There are two types of carbon emissions ? direct and indirect. It is easier to measure the direct emissions of carbon dioxide, which includes the electricity and gas people use in their homes, the petrol burned in cars, distance of flights taken and other carbon emissions people are personally responsible for. Various tools are already available to measure direct emissions each day.

Indirect emissions, on the other hand, include the processes involved in manufacturing food and products and transporting them to users? doors. It is a bit difficult to accurately measure the amount of indirect emission.

Sources of Carbon Emissions

The sources of carbon emissions refer to the sectors of end-users that directly emit them. They include the energy, transport, business, residential, agriculture, waste management, industrial processes and public sectors. Let’s learn how these sources contribute carbon emissions to the environment.

Energy Supply

The power stations that burn coal, oil or gas to generate electricity hold the largest portion of the total carbon emissions. The carbon dioxide is emitted from boilers at the bottom of the chimney. The electricity, produced from the fossil fuel combustion, emits carbon as it is supplied to homes, commercial establishments and other energy users.

Transport

The second largest carbon-emitting source is the transport sector. This results from the fuels burned in diesel and petrol to propel cars, railways, shipping vehicles, aircraft support vehicles and aviation, transporting people and products from one place to another. The longer the distance travelled, the more fuel is used and the more carbon is emitted.

Business

This comprises carbon emissions from combustion in the industrial and commercial sectors, off-road machinery, air conditioning and refrigeration.

Residential

Heating houses and using electricity in the house, produce carbon dioxide. The same holds true to cooking and using garden machinery at home.

Agriculture

The agricultural sector also produces carbon dioxide from soils, livestock, immovable combustion sources and other machinery associated with agricultural activities.

Waste Management

Disposing of wastes to landfill sites, burning them and treating waste water also emit carbon dioxide and contributes to global warming.

Industrial Processes

The factories that manufacture and process products and food also release CO2 , especially those factories that manufacture steel and iron.

Public

Public sector buildings that generate power from fuel combustion also add to the list of carbon emission sources, from heating to other public energy needs.

Everybody needs energy and people burn fossil fuels to create it. Knowing how our energy use affects the environment, as a whole, enables us to take a step ahead towards achieving better climate.

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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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