Recognizing Your Carbon Footprint

Countless times we have heard of the term ?carbon footprint?. Perhaps we have seen and heard it on TV or read it in newspapers, magazines and published articles. Indeed, it has been an expression familiar to everyone as it is always associated with climate change, carbon emissions, global warming, pollution and other environmental issues. Carbon footprint is real. It exists and, in fact, continues to affect the world we live in.

Defining Carbon Footprint

Two essential words comprise the term carbon footprint. Fundamentally, ?carbon? means the carbon dioxide circulating in the atmosphere. It is also the general word used for other greenhouse gasses emitted into the air. On the other note, ?footprint? refers to impact or effect.

Think about the footprints people leave on the beach sand upon walking on the shore. That is exactly what carbon footprint is like. It’s about the impact humans leave on the earth in the form of carbon dioxide and other greenhouse gases.

Calculating Your Personal Carbon Footprint

The food we eat, products we use, vehicles we ride on and electricity we consume emit carbon dioxide. In fact, our activities, lifestyle, homes, and countries contribute to climate change. And carbon footprint is the best estimate we can get of the full impact our doings affect the earth. It quantifies the amount of our carbon emission. With this, knowing how to calculate your personal carbon footprint is important.

There are various standards in calculating one?s carbon footprint. There is the so-called ?lifestyle assessment? and the input-output analysis. Lifestyle assessment works by adding up all the feasible emission pathways while the input-output analysis involves determining the total emissions of a particular country, dividing it by the carbon-emitting sectors and estimating the overall emissions of each sector. The input-output analysis makes sure that no emission pathway is missed out.

Calculating your carbon footprint manually is an effective way for you to understand your emissions better. You just need a lot of patience to learn how each footprint is generated. Moreover, there are also several resources online that can help you calculate your carbon footprint. Online carbon calculators are abundant across the web. To make your life simpler, you can opt to try those online calculators and easily determine your carbon emissions. However, such calculators vary in scope. So make sure that the online carbon calculator, you choose, is one that?includes emissions both direct and indirect.

Avoiding Toe Prints

A toe print is a portion of a footprint. Sometimes, people are misled in their calculations because they only get a carbon toe print instead of a footprint. The idea is that, you should cover a smart scope of your carbon emissions. Not only measuring a portion, but the whole.

Say for example, running a conventional car. The carbon emitted from the car is not only the fuel combustion from the diesel or petrol.? Likewise, the carbon released as the gas was processed and transported to your nearby gasoline station is also an addition to your carbon footprint. If you do not understand this, you will end up calculating your direct emissions while neglecting the indirect ones.

Be wise in calculating your carbon footprint. And when in doubt, whether you are an individual or a business entity, you should seek help from experts who can do it right.

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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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What is work force management?

For organisations to ensure they provide the right service.  In order to do they need to assign the right employees with the right skills to the right job at the right time to meet demand.

Workforce Management Background

Workforce management (WFM) is a strategy used by companies to increase their efficiency and performance. It entails all activities aimed at maintaining a steady output, such as human resource management, forecasting, field service management, budgeting, scheduling, performance and training management, analytics, recruitment and data collection.

Workforce management utilizes a unique set of performance enhancing tools and software to bolster corporate management, workers, and other categories of managers and supervisors in the manufacturing team, distribution, transportation, and retail operators. This is sometimes called HRM systems, or part of ERP systems, or workforce asset management.

Unlike the conventional outlay that only needed staff scheduling to improve time management, workforce management is now all-inclusive and demand-oriented to optimize staff scheduling. Apart from focusing on demand-orientation and optimization, workforce management also incorporates:

  • Estimating the workload and resource utilisation
  • Job scheduling
  • Management of working times and accounts
  • Monitoring the process of workforce management

Each task should be clearly defined and performed efficiently based on set engineering standards and methods of optimizing each task as much as possible. Out of this framework and demand based forecasts, workers are scheduled and given tasks, performance measured, give feedback, and incentives computed and paid.

Workforce management is an entire scheme aimed at building the capacity of workers, increase productivity and client relations, and where possible reduce labour costs.

What is Mobile Workforce Management (MWM)

Mobile workforce management (MWM) is a software-based service used to oversee employees outside of the institution?s premises; MWM sometimes refers to the field teams. Mobile workforce management encompasses all activities done to monitor and schedule the field workforce.

The entire process includes procurement, management and using mobile devices, applications and computer software. Related support services like tracking, logging, dispatch, productivity management, and other types of communication are also to make it efficient.

Companies do not have the same needs and MWM firms need to fine-tune their software and devices to sufficiently bridge this gap. Some providers are suited only to a specific type of company because of specialization, like managing the electric grid. This experience makes the MWM company suited to provide applications that are relevant to the company for them to continue operating smoothly and efficiently.

With the increase in mobile devices, applications, secured wireless networks and virtual desktop, there comes a stream of opportunities for small and medium-sized businesses (SMB) and other ventures. Nevertheless, a mobile workforce needs better controls, security and support, as well as a functioning mobile workforce management strategy.

MMS (managed mobility services) is often used interchangeably with MWM, but they should not be confused. MWM is related to software and applications used by mobile and computer devices to manage on-field work while MMS focuses on enterprises, and is like a way of keeping in touch with the company, other employees, and linking the mobile while at work to servers and the database.

Benefits of Mobile Workforce Management

MWM allows the utilization of technology to drive productivity. Here are the top five advantages of MWM..

  1. Customer focused. The customer is the backbone of any business. The team needs to keep in touch with up-to-date information about every interaction. In the end, better client relation makes sure that the customer is always happy.
  2. Information has the power to build or destroy. A cloud-based system is easier to manage and can help with collection of data which is used to make business decisions. This can help cut costs, increase the workforce support, and identify areas where polishing needs to be done.
  3. Improved efficiency. Mobile workforce management is majorly used in taskforce allocation. If the company adopts a cloud-based work force management system, allocation is done automatically saving a lot of time.
  4. Increased revenue. Each business seeks to maximize the profit. With cloud-based mobile workforce management some operations like task management, data analysis, customer communication, reporting, and performance monitoring can be automated. This reduces the costs incurred for multiple applications and saves time.
  5. Ease of communication. Communication is vital. Constant communication with customers drives sales rates and everyone loves that. Quick communication will help customers solve their problems faster and get instant feedback.

Additional WFM benefits

 Other WFM benefits are:

  • Operations are made efficient as all complex processes are automated.
  • Employers learn more about worker engagement, productivity and attendance, allowing them to modify training, coaching and processes aimed at streamlining performance.
  • Automation and easy manipulation of data to improve HR, productivity and slash administrative costs.
  • It increases employee productivity by reducing absenteeism and late arrivals.
  • Boosts the morale of employees by encouraging transparency and facilitating manager-employee communication.
  • WFM analyzes market and schedule requirements to pick the right employee with the best set of skills for a certain task.

Companies which embrace workforce management and mobile workforce management have a higher operational efficiency. They have lower operational costs and limit manual work as much as possible

What Is Technical Debt? A Complete Guide

You buy the latest iPhone on credit. Turn to fast car loan services to get yourself those wheels you’ve been eyeing for a while. Take out a mortgage to realise your dream of being a homeowner. Regardless of the motive, the common denominator is going into financial debt to achieve something today, and pay it off in future, with interest. The final cost will be higher than the loan value that you took out in the first place. However, debt is not limited to the financial world.

Technical Debt Definition

Technical debt – which is also referred to as code debt, design debt or tech debt – is the result of the development team taking shortcuts in the code to release a product today, which will need to be fixed later on. The quality of the code takes a backseat to issues like market forces, such as when there’s pressure to get a product out there to beat a deadline, front-run the competition, or even calm jittery consumers. Creating perfect code would take time, so the team opts for a compromised version, which they will come back later to resolve. It’s basically using a speedy temporary fix instead of waiting for a more comprehensive solution whose development would be slower.

How rampant is it? 25% of the development time in large software organisations is actually spent dealing with tech debt, according to a multiple case study of 15 organizations. “Large” here means organizations with over 250 employees. It is estimated that global technical debt will cost companies $4 trillion by 2024.

Is there interest on technical debt?

When you take out a mortgage or service a car loan, the longer that it takes to clear it the higher the interest will be. A similar case applies to technical debt. In the rush to release the software, it comes with problems like bugs in the code, incompatibility with some applications that would need it, absent documentation, and other issues that pop up over time. This will affect the usability of the product, slow down operations – and even grind systems to a halt, costing your business. Here’s the catch: just like the financial loan, the longer that one takes before resolving the issues with rushed software, the greater the problems will pile up, and more it will take to rectify and implement changes. This additional rework that will be required in future is the interest on the technical debt.

Reasons For Getting Into Technical Debt

In the financial world, there are good and bad reasons for getting into debt. Taking a loan to boost your business cashflow or buy that piece of land where you will build your home – these are understandable. Buying an expensive umbrella on credit because ‘it will go with your outfit‘ won’t win you an award for prudent financial management. This also applies to technical debt.

There are situations where product delivery takes precedence over having completely clean code, such as for start-ups that need their operations to keep running for the brand to remain relevant, a fintech app that consumers rely on daily, or situations where user feedback is needed for modifications to be made to the software early. On the other hand, incurring technical debt because the design team chooses to focus on other products that are more interesting, thus neglecting the software and only releasing a “just-usable” version will be a bad reason.

Some of the common reasons for technical debt include:

  • Inadequate project definition at the start – Where failing to accurately define product requirements up-front leads to software development that will need to be reworked later
  • Business pressure – Here the business is under pressure to release a product, such as an app or upgrade quickly before the required changes to the code are completed.
  • Lacking a test suite – Without the environment to exhaustively check for bugs and apply fixes before the public release of a product, more resources will be required later to resolve them as they arise.
  • Poor collaboration – From inadequate communication amongst the different product development teams and across the business hierarchy, to junior developers not being mentored properly, these will contribute to technical debt with the products that are released.
  • Lack of documentation – Have you launched code without its supporting documentation? This is a debt that will need to be fulfilled.
  • Parallel development – This is seen when working on different sections of a product in isolation which will, later on, need to be merged into a single source. The greater the extent of modification on an individual branch – especially when it affects its compatibility with the rest of the code, the higher the technical debt.
  • Skipping industrial standards – If you fail to adhere to industry-standard features and technologies when developing the product, there will be technical debt because you will eventually need to rework the product to align with them for it to continue being relevant.
  • Last-minute product changes – Incorporating changes that hadn’t been planned for just before its release will affect the future development of the product due to the checks, documentation and modifications that will be required later on

Types of Technical Debt

There are various types of technical debt, and this will largely depend on how you look at it.

  • Intentional technical debt – which is the debt that is consciously taken on as a strategy in the business operations.
  • Unintentional technical debt – where the debt is non-strategic, usually the consequences of a poor job being done.

This is further expounded in the Technical Debt Quadrant” put forth by Martin Fowler, which attempts to categorise it based on the context and intent:

Technical Debt Quadrant

Source: MartinFowler.com

Final thoughts

Technical debt is common, and not inherently bad. Just like financial debt, it will depend on the purpose that it has been taken up, and plans to clear it. Start-ups battling with pressure to launch their products and get ahead, software companies that have cut-throat competition to deliver fast – development teams usually find themselves having to take on technical debt instead of waiting to launch the products later. In fact, nearly all of the software products in use today have some sort of technical debt.

But no one likes being in debt. Actually, technical staff often find themselves clashing with business executives as they try to emphasise the implications involved when pushing for product launch before the code is completely ready. From a business perspective, it’s all about weighing the trade-offs, when factoring in aspects such as the aspects market situation, competition and consumer needs. So, is technical debt good or bad? It will depend on the context. Look at it this way: just like financial debt, it is not a problem as long as it is manageable. When you exceed your limits and allow the debt to spiral out of control, it can grind your operations to a halt, with the ripple effects cascading through your business.

 

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