Kevin Ashton founded the Auto-ID Center at
the Massachusetts Institute of Technology, and
has done pioneering work in radio-frequency
identification and sensor technology.
Ashton is known for coining the term “the
Internet of Things” to describe a system where
the Internet is connected to the physical world
via ubiquitous sensors. In 2015, he spoke at a
European customer service conference and
noted that field service management is the
first industry being transformed by IoT.
Some people in the industry have noted that
the entire IoT concept came from trying to
solve field service problems in 1999. IoT’s
origin story lies in field service management.
Clearly, field service management and IoT are
deeply intertwined. But how are the changes
being implemented? And how can you
benefit from them?
In this document you’ll discover
1) 6 ways you’re letting your customers down
2) The 4 things you absolutely have to measure
3) The secret to optimisation
4) The proof: How OSN turned around its field service performance
Businesses with between 15-250 mobile workforce employees are looking for optimization software. At the same time, they don’t want a complex enterprise solution with long integration times and complex IT requirements. Many vendors are offering cloud-based solutions. But what does that mean? Is it secure? In this Q&A, we answer the most common questions about cloud-based software solutions for field service management.
By creating a connected field service ecosystem, organizations can increase their response time, reduce mean time-to-resolution and eventually, power a more predictive service model. This will enable a new level of field service productivity and cost-savings from increased efficiencies. Organizations will also be able to provide exceptional customer experiences consistently.
Customer disruption and asset downtime will be minimized, and organizations will be able to empower their field service resources with insight into the issue before they arrive at the customer site. All thanks to a unified field service and IoT strategy.
Mobile Workforce Management solutions enable companies to deliver superior field service and customer satisfaction (see Part I, Setting The Stage For Best Practices Service Performance). However, a successful Mobile Workforce Management transformation is dependent upon many factors beyond simply deploying new technology. It requires a full understanding of the overall business objectives, a keen understanding of historical processes, a standard system of key performance metrics along with the organization’s current performance in those metrics, and effective communication to ensure organizational readiness and project execution.
Quest Workspacetm Help Desk is a robust help desk solution for small to medium-sized businesses with complex network environments. It provides a powerful combination of management features integrated with a best-of-breed IT help desk platform. Use the help desk software to manage the ticket system workflows, dashboards, reporting and end-user self-service portals. Use the embedded management features within the help desk platform to proactively manage network events, desktops, servers and applications as well as resolve issues faster and more effectively.
The Internet of Things (IoT) is connecting our world in ways that were unimaginable 10 years ago—collecting data on everything we do and using it to streamline our daily activities. In doing so, IoT is changing the way that consumers think about service. Service organizations must be prepared to support these new customer expectations to ensure continued satisfaction to strengthen and foster loyalty.
Additionally, IoT is making its way into the enterprise, especially among organizations in industries like utilities, oil and gas, medical devices, manufacturing and telecommunications. Connected devices enable more efficient processes for maintenance and repair by constantly providing information on machines’ performance, environmental conditions, and possible failures. For example, a connected washing machine in a customer’s home could automatically send out an error report to the manufacturer when it experiences a failure. This is where field service management comes in.
In the early 2000s, two vastly different businesses—baseball and field service management—began to use advanced statistical analysis to gain an advantage over their competitors. They both revolutionized their respective fields by using statistical knowledge to improve performance. The new approach replaced old models and methods and attained shockingly good results as both set new standards for their respective industries.
In this white paper, you will learn the general concepts behind predictive analytics and how they can be applied to a field service organization. The paper will cover the basic metrics that should be tracked, the use of performance pattern profiles, and how these principles can predict future events.
Develop customer relationships and reduce costs
Effective field service management teams improve technician productivity and customer satisfaction rates.
Greater automation, faster inventory management, and reduced inspection costs are possible with data support from the cloud.
Learn how the Internet of Things (IoT) can help keep your service agile so you stay ahead of customer demands and product complexity.
Published By: SyberWorks
Published Date: Oct 21, 2008
Kevin Lange, Director of Field Training at Service Master Clean, Inc., talks about his company's training program and the organizational drivers that led them to consider an e-learning program and to choose the SyberWorks Training Center Learning Management System to manage their training.
In this white paper, the author discusses the real-life challenges faced by field technicians and how they can be empowered with mobility solutions to improve field productivity, increase accuracy of diagnostics, reduce warranty and invoicing cycle times, enhance service revenues, and most importantly, improve customer experience to make service excellence a strong selling point.