How Field Service Management is Using Big Data

1. How Field Service Management is Using Big Data

3. If you’re not sure what field service management does or what is at stake when a field service team isn’t performing at optimum levels, here’s a real-world example for you. In 2009, Mike Severson, an IT specialist, was returning to his building after a late afternoon smoke break. He was planning on working later that Friday to implement some system changes after staff had left for home. If all went well, he should be done by around 6:30.

4. Hopping on the elevator, it abruptly jarred to a stop somewhere around the 34th floor. He pushed the alarm button several times but received no response. His cell phone was sitting on his desk far away in his office, and there seemed to be no camera in the older skyscraper’s elevator car either. No one seemed to be around to hear his cries for help through the antique brass elevator doors. The following Monday morning, – some 44 hours later, – a severely dehydrated and understandably shaken Severson was finally discovered and thankfully rescued. He also received a significant settlement from the building owners.

5. How could this situation have been prevented by better field service management practices? The elevator’s broken alarm could’ve been caught by using field data to ensure service upgrades were being maintained, or stuck elevator cars could’ve been avoided by security guards ensuring they were in proper working order between shift changes.

6. While this tale might be an extreme example, it demonstrates what can happen when there’s a breakdown in field service management operations. Field service management (FSM) is about much more than ensuring your technicians don’t have overlaps in their service calls or scheduling a fleet of vehicles. It’s become a complex enterprise that relies on accurate, actionable data to lower liability risks and ensure customer needs are satisfied. But while collecting that data is vital, it ultimately means nothing if it isn’t being converted into usable analytics that can serve as insights into past issues and predictors of future outcomes.

7. Data is Nothing Without Analytics Every day, technicians are driving to project site locations, bargaining with vendors, finishing work orders, and engaging with onsite challenges. All this activity yields data that gets collected by field techs that is then either entered into a mobile app or collected into some application. While collecting that data is vital, it ultimately means nothing if it isn’t being converted into usable analytics that can serve as insights into past issues and predictors of future outcomes.

8. Data that is plugged into the right module and then built into analytic models can take all the past information gleaned from projects, contracts, suppliers, inventory, accounting, timelines, and more and churn out key performance indicators that can result in major improvements for every channel of your service model.

9. Consider the following: A recent study indicates that building supply companies who’ve implemented big data analytics into their field service management have established: • An increase in service profitability of 18% • A customer retention rate of 42% • Growth in their service level contracts of 44% • Bid award increases of 23%

10. Numbers like these tell a clear story that utilizing the predictive and preventative tools that big data analytics offer is the key to obtaining next-level success and the path forward to managing a best-in-class field service operation. Know more about how field service management using big data please visit here : https://www.groupfio.com/how-field-service-management-is-using-big-data/