In today’s market of field and support services, there are three types of service: reactive, predictive, and proactive. For companies looking to move away from reactive toward predictive and proactive, the first step is data.
In order to make this shift, it’s critical for field services organizations to tie data analytics and use cases to their services. Doing so will help OEMs imagine what else can be done with the data to help drive their customers' business outcomes.
Join TSIA’s Vele Galovski, TSIA’s Distinguished VP of Support and Field Services Research, and Kevin Bowers, TSIA’s Director of Field Services Research, for a highly interactive 45-minute webinar where they’ll be addressing some of the most pressing questions the field services industry is facing today, including:
- What do you have to do with your install base to break the cycle of being purely reactive?
- What are the three types of analytics and the corresponding use cases?
- What frameworks can we use to build a foundation to drive customer outcomes in the future?
We’re looking forward to seeing you there!
On October 16, subscribe to our latest TSIA Research Journey, AI for Predictive and Proactive Support, to learn how Field Services and Support Services organizations can leverage emerging AI technology to recognize patterns and anticipate needs.