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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Total Quality Management

Total Quality Management (TQM) is another business management approach that focuses on the involvement of all members of the organisation to participate in improving processes, products, services, and the culture in which they work in. It is important that every team member realises how each individual and each activity affects, and in turn is affected by, others.

With the use of combined quality and management tools, TQM also aims to reduce losses brought about by wasteful practices, a common concern in most companies. Using the TQM strategy, business would also be able to identify the cause of a defect, thereby preventing it from entering the final product.

Deming’s 14 Points

At the core of the Total Quality Management concept and implementation is Deming’s 14 points, a set of guidelines on quality as conceptualised by W Edwards Deming, one of the pioneers of quality. Deming’s 14 points are as follows:

  1. Create constancy of purpose for improving products and services.
  2. Adopt the new philosophy.
  3. Cease dependence on inspection to achieve quality.
  4. End the practice of awarding business on price alone; instead, minimise total cost by working with a single supplier.
  5. Improve constantly and forever every process for planning, production and service.
  6. Institute training on the job.
  7. Adopt and institute leadership.
  8. Drive out fear.
  9. Break down barriers between staff areas.
  10. Eliminate slogans, exhortations and targets for the workforce.
  11. Eliminate numerical quotas for the workforce and numerical goals for management.
  12. Remove barriers that rob people of pride of workmanship, and eliminate the annual rating or merit system.
  13. Institute a vigorous program of education and self-improvement for everyone.
  14. Put everybody in the company to work accomplishing the transformation.

But if you were to reduce to bare bones the TQM philosophy from Deming’s 14 points, it would all come down to two simple goals:

  1. To make things right the first time; and
  2. To work for continuous improvement.

As with all other quality management process, the end goal is to be able to offer products and services that meet and even exceed customer’s expectations.

Find out more about our Quality Assurance services in the following pages:

Is the GDPR Good or Bad News for Business

The European Union?s General Data Protection Act (GDPR) is a new data authority coming into force on 25 May 2018. It replaces the current Data Protection Directive 95/46/EC, while extending the remit to include the export of personal data outside the EU. It aims to give EU citizens and residents living there more control over their personal information. It also hopes to make regulatory compliance simpler for participating businesses.

The Broad Implications for Business
The GDPR puts another layer of accountability on businesses falling within its remit. It requires them to implement ?comprehensive but proportionate governance measures? including recording how they make decisions. The long-term goal is to reduce privacy infringements. In the short run, businesses without good governance may find themselves writing new policies and procedures.

Article 5 of the European Union?s General Data Protection Act lays down the following guidelines for managing personal data. This shall be ?
? Processed transparently, fairly, and lawfully
? Acquired for specific, legitimate purposes only
? Adequate, relevant and limited to essentials
? Not used for any other, incompatible purpose
? However it may be archived in the public interest
? Kept up to date with all inaccuracies corrected
? Ring-fenced when the information becomes irrelevant
? Adequately protected against unauthorised access
? Stored in a way that prevents accidental loss
Furthermore, affected businesses shall appoint a ?controller responsible for, and able to demonstrate, compliance with the principles.?

Implementing Accountability and Governance
The UK Information Commissioner?s Office has issued guidelines regarding provisions to assure governance and accountability. These are along the lines of the ?don’t tell me, show me? management approach the office has generally been following. In summary form, a business, and its controller must:
? Implement measures that assist it to ensure demonstrated compliance
? Maintain suitable, relevant records of personal data processing activities
? Appoint a dedicated data protection officer if scale makes this appropriate
? Implement technologies that ensure data protection by design
? Conduct data protection assessments and respond to results timeously

Implementing the General Data Protection Act in Ireland
The Irish Data Protection Commissioner has decided it is unnecessary to incorporate the GDPR into Irish law, since EU regulations have direct effect. The office of the Commissioner is working in tandem with data practitioners, and industry and professional bodies to raise awareness in business through 2017. It has produced a document detailing what it considers the essentials for business compliance. Briefly, these pre-requisites are:
? Ensure awareness among key personnel, and make sure they incorporate the GDPR into their planning
? Conduct an early assessment of quality management gaps, and budget for additional resources needed
? Do an audit of personal data held, to determine the origin, the necessity to hold it, and with whom shared
? Inform internal and external stakeholders of the current status, and your future plans to implement the GDPR
? Examine current procedures in the light of the new directive. Could you ?survive? a challenge from a data subject?
? Determine how you will process requests for access to the data in the future from within and outside your organization
? Assess how you currently obtain customer consent to store their data. Is this “freely given, specific, informed and unambiguous”?
? Find how you handle information from underage people. Do you have systems to verify ages and obtain guardian consent?
? Implement procedures to detect, investigate, and report data breaches to the Data Protection Commissioner within 72 hours
? Implement a culture of always assessing the effect on individual privacy before starting new initiatives

So Is the GDPR Good or Bad for Business
The GDPR should be good news for business customers. Their personal data will be more secure, and they should see their rate of spam marketing come down. The GDPR is also good news for businesses currently investing resources to protect their clients? interests. It could however, be bad news for businesses that have not been focussing on these matters. They may have a high mountain to climb to come in line with the GDPR.
Disclaimer: This article is for information only and not intended as a comprehensive guide.

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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.

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