Why data-driven field service businesses perform better (and how to be one)

There’s no doubt that the best performing field service businesses are driven by their data.

Aberdeen Group says these organizations are reporting a 7% decrease in operating costs. Just one advantage to data directing your business operations.

But what does a data-driven business look like, and how can you become one?

Why is data so important?

That might seem like a question with an obvious answer. We all know how important data is. It provides us with facts to replace hunches and assumptions.

Working with data is certainly not a new thing. Far from it. But using data to inform, influence and predict the performance of your field service business is relatively new – and incredibly effective.

Data can help to better allocate your resources and identify knowledge gaps and training needs. It can also enhance your customer service and in turn, your customer loyalty.

Put simply, data can help to transform your field service operations. It can save you money, make the most of your time and ensure excellent service.

Savvy businesses have been working to harness the power of data for years. Back in 2012, an Economist survey identified that 63% of those ahead financially were also ahead on data usage.

And today, data is no longer past tense only. You used to learn what had happened with data, weeks or months after the event. Collection methods have revolutionized since then. We can now access data that tells us what’s happening right now, in real time. It helps us to become predictive, not just react to events of the past.

Where is it?

That’s the thing. Your data is everywhere. You’re probably drowning in it. Overwhelmed by the many sources and the sheer amount of it.

Having the data is one thing. Using it effectively is another.

It’s a major challenge for many large organizations. There’s no benefit in grappling unsuccessfully with large amounts of data without extracting practical learnings from it.

Many departments have access to data that could be useful. You might have machines that collect data, not to mention many service systems via mobile devices. Digital transformation has delivered the goods, we just don’t know what to do with it all.

Which data matters for field service?

The data of most use to your business depends on your objectives and KPIs.

As a field service operator, that’s likely to focus on delivering excellent service: first time fixes, rapid response times and maximum job completion per day.

Your field service management software is likely to collect the most valuable data for you. That’s to say, your field technicians working alongside your customers. They’re on the front line of your operations.

Thanks to digital transformation, field service data is often available in real time. And with the right software, you’ll be able to gather even more.

Such knowledge enhances performance too. AnswersAnywhere Analytics recently uncovered that the top 20% best performing field service engineers were also the most frequent users of the knowledge base. A useful insight for the remaining 80%.

Remember: data is for everyone

There’s a myth we need to dispel. Data is not just for top-level managers when it comes to field service. Every level of your business will benefit from being better informed; from chief executives right through to the field service team themselves.

And getting buy-in at every level is powerful stuff.

Take the example of HVAC and parts ordering. If your parts managers have access to data that highlights key seasonal peaks in demand for particular parts, they can manage their stock accordingly. Hold more when demand is high, and less when it’s not. The result is two-fold: less cash tied up in stock and faster fixes for your customers.

Spread the love of data across your entire organization. If you get the right facts into the right hands, you’ll transform your operation.

How do I start?

It probably seems like an enormous task. As with many such challenges, starting small is often the answer.

Choose some core KPIs – just one or two if you like. First time fixes, jobs completed per day and mean repair time are all common measures of performance. By engineer, by machine and by customer.

Let’s say you decide to monitor first time fix rates.

So, gather data to understand which engineers have the highest first-time fix rate. And monitor which pieces of equipment get fixed first time. This might throw up some training gaps on certain equipment, or the need to have more parts available to speed the fix.

Monitoring first-time fixes by engineer might uncover some best practice to make more widespread across your field service team. Do your better-performing engineers use certain tools or resources to speed their work? Do they follow a different fault diagnosis process?

If you cannot gather the field service data you want to see, talk to your field service software provider. They might guide you towards analytics that already exist or help you with relevant reporting.

Should you have gaps in your field service data, consider new methods of collecting it. Such investment could make a significant difference to the future performance of your business.

How AnswersAnywhere helps your field service data analysis

At AnswersAnywhere, we’re acutely aware of the importance of data-analytics. It helps to drive our customers in many ways.

And that’s why we’re constantly developing new capabilities in our mobile software. We want our customers to have direct insight on how their engineers are using AnswersAnywhere. For example, the products or manuals they access most frequently, and the customers that require this type of on-site support.

Such clarity will enable AnswersAnywhere users to understand where to focus their development of this parts and technical data tool. They’ll also appreciate the knowledge that’s being under-utilized, prompting important training opportunities.

Without doubt, data analysis is helping field service organizations get ahead of their competition. The effective process must achieve three things though. You need to be collecting the right data in the field. You must then process it correctly. Finally, you must get it into the hands of those who can learn and act on it.

Achieve this, and you’ve just found one of the most powerful tools (to date) in the 21st century.