How Field Service Management is Using Big Data

1
How Field Service Management is Using Big Data
2
(No Transcript)
3

• If youre not sure what field service management
  does or what is at stake when a field service
  team isnt performing at optimum levels, heres 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 630.

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 skyscrapers 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
  elevators broken alarm couldve been caught by
  using field data to ensure service upgrades were
  being maintained, or stuck elevator cars couldve
  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 theres a
  breakdown in field service management operations.
  Field service management (FSM) is about much more
  than ensuring your technicians dont have
  overlaps in their service calls or scheduling a
  fleet of vehicles. Its 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
  isnt 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 isnt 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 whove 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-managem
  ent-is-using-big-data/