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

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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 Internal Auditors can win The War against Spreadsheet Fraud

To prevent another round of million dollar scandals due to fraudulent manipulations on spreadsheets, regulatory bodies have launched major offensives against these well-loved User Developed Applications (UDAs). Naturally, internal auditors are front and center in carrying out these offensives.

While regulations like the Sarbanes-Oxley Act, Dodd-Frank Act, and Solvency II can only be effective if end users are able to carry out the activities and practices required of them, auditors need to ascertain that they have. Sad to say, when it comes to spreadsheets, that is easier said than done.

Because spreadsheets are loosely distributed by nature, internal auditors always find it hard to: locate them, identify ownership, and trace their relationships with other spreadsheets. Now, we’re still talking about naturally occurring spreadsheets. How much more with files that have been deliberately tampered?

Spreadsheets can be altered in a variety of ways, especially if the purpose is to conceal fraudulent activities. Fraudsters can, for instance:

  • hide columns or rows,
  • perform conditional formatting, which changes the appearance of cells depending on certain values
  • replace cell entries with false values either through direct input or by linking to other spreadsheet sources
  • apply small, incremental changes in multiple cells or even spreadsheets to avoid detection
  • design macros and user defined functions to carry out fraudulent manipulations automatically

Recognising the seemingly insurmountable task ahead, the Institute of Internal Auditors released a guide designed specifically for the task of auditing user-developed applications, which of course includes spreadsheets.

But is this really the weapon internal auditors should be wielding in their quest to bring down spreadsheet fraud? Our answer is no. In fact, we believe no such weapon has to be wielded at all?because the only way to get rid of spreadsheet fraud is to eliminate spreadsheets once and for all.

Imagine how easy it would be for internal auditors to conduct their audits if data were kept in a centralised server instead of being scattered throughout the organisation in end-user hard drives.

And that’s not all. Because a server-based solution can be configured to have its own built-in controls, all your data will be under lock and key; unlike spreadsheet-based systems wherein storing a spreadsheet file inside a password-protected workstation does not guarantee equal security for all the other spreadsheets scattered throughout your company.

Learn more about Denizon’s server application solutions and discover a more efficient way for your internal auditors to carry out their jobs.

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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Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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  • (+44)(0)20-7193-9751 – UK
Telemetry and the Survival of the Human Species

Without moisture, plants die. Without fodder, the animal food chain collapses. This is why climate change is the greatest threat humankind faces. Crop management needs timely information regarding ambient conditions, and also in the soil itself. In dry areas, online knowledge of trends in rainfall, sunlight, wind speed, leaf moisture, air temperature, relative humidity and solar radiation are indicators of soil stress that can be deadly for plants, and everything that relies on them.

As climate change bites, the need to find solutions accelerates. Drones swoop across to monitor ambient conditions, while probes sunk into plants and the earth in which they grow transmit information to big data repositories for feedback to administrators. In Australia, a remarkable cattle farmer is applying the same approach to his herds.

Nuffield scholar Rob Cook has always been on the edgy side of things. He lost his mobility in a helicopter crash in 2008 patrolling farmland but that has not deterred him. If anything, it has freed his mind to explore the potential that telemetry offers farmers in Australia. He shared this potential with the young beef producers in Roma Australia recently, and here is a summary what he said.

Being wheelchair bound he had to shift from herding with cattle dogs to a more scientific approach. He bought a farm 230 miles / 370 kilometres inland from Brisbane in a warm, temperate climate with significant rainfall even in the driest months. He uses observant software that reports on critical issues like water levels indicating animal consumption, and supplementary water flows from a central irrigation channel.

He also monitors fodder sources for dryer months, and moisture levels in food stocks. Rob is committed to making every blade of grass count. ?We even have the ability to take a photo of the cattle when they are taking a drink of water,? he explains, and that provides valuable information regarding tick and fly infestation and overall condition.

None of this would be possible for Rob Cook without telemetry, which is the process of collecting data at remote points and transmitting it to receiving equipment for analysis. Independent farmers do not have equipment to fund these analytic resources on their own, and use big data resources in a cloud to obtain reports. ecoVaro is on top of current trends. Please speak to us when you need independent advice.

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