The answer is, it goes into Business Intelligence modules and comes out as insightful analytics into the heart of your service delivery. It takes all that information from the field, from contracts, from projects, from accounting and inventory and turns it into useful numbers, trends, graphs and data that can help managers make more informed business decisions.
With Big Data being such a hot buzzword in today’s field service market, it’s worth the time to investigate what you are getting from all that data being collected, and how the Business Intelligence module inside your field service management software can be a game changer.
Field Service Software Can Produce Predictive Analytics
The field service industry is starting to move towards a more predictive maintenance schedule on the heels of new technology, such as Internet of Things, which gives notifications of when equipment is failing before it happens, avoiding downtimes.
Wouldn’t it be great if your Big Data could do that for your decision making? In fact, it can, as predictive analytics is a practice of analyzing data from the past to predict events of the future. And with a field service management software’s Business Intelligence module, you can customize triggers to alert you when problems are arising, but they can become a full problem. It’s like tracking a storm and preparing before it gets to you and knowing what to do based on past experiences.
The impact predictive analytics can have on a field service organization can be huge, as it can give managers a warning that problems are arising, so they can make decisions that will hopefully avoid it or move them around the problem. Perhaps scheduled service is reducing due to a lack of contracts, or the time of year, or you’re constantly running low on parts. Whatever the case may be, with Business Intelligence, you can set up triggers that look at your past data and analyze it in a way that helps you predict the future, so you know when you need to order more parts, or when you will need less technicians on call or working overtime hours.
Turn Data into Actionable Insights with Field Service Software
Big Data doesn’t just help you predict the future, as it is very important to today’s operation. Managers can’t wait for data from the field that is two weeks old, especially if there are decisions to make today on the operation of the business. They need the latest analytics to help them make the business decision that have actionable results.
For example, if a trigger is built to warn a service manager of excessive travel time by technicians, the service manager can make the changes quickly to their schedule practices to mitigate the time their technicians are spending driving to a job site. That’s data they would have never had before and would need to analyze manually to see if it’s an issue, and by then, customers could already be unhappy waiting for a technician to arrive, and schedules could already be planned for the coming weeks.
There are many different decisions that need to be made daily in field service, some big, some small, but all require some form of action to correct it. With complex data turned into useful, and timely analytics, service managers can make those decisions quickly and with full confidence in the data they are working with.
Field Service Software Ables Better Decision Making
At the end of the day, what field service managers want is data that speaks to them in a way that allows them to make better business decisions, both today and tomorrow. With the growing competitive nature of the field service industry, the days of doing things manually are long gone, and that also includes the way organizations are using their Big Data. In fact, some haven’t even been using it at all and it is entirely new to them.
Today, plenty of field service organizations are using field service software and one of the major reasons they are using the software is for the Business Intelligence capabilities to make better and more informed business decisions. No longer are they able to wait weeks for information from the field to be turned into useful and insightful data, as every missed opportunity in the field is costing dollars on the bottom line.