Some of the technologies enabling IoT today are truly mind-blowing. And the data we can collect about our customers is remarkable. The need for automated tools and data-experts constantly grows. There is such a wealth of information available, and so many tools to capture that information, that it can be confusing. Often, the biggest question is, “where to start?”
If you’re running a reactive field service business with technicians busy putting out fires in a break/fix model, moving towards an IoT-enabled predictive maintenance approach is a necessity, especially as you see customer behavior and expectations rapidly changing and technological advancements giving birth to disruptive and non-traditional competitors.
Make sure to join our stellar webinar on December 13th @ 14.00 CET where you will get the practical tools on how get to started with IoT predictive maintenance by changing mindsets internally and implementing a proven solution.
You will learn how you can now go one step further with the Hitachi Solutions IoT Predictive Service Hub (PSH). This allows you to move away from the break/fix model and use predictive analytics to optimize field service. The benefits to your business include
Listen to Jonathan Scott, Director, Data Science and Analytics, and Martin Green, Head of Field Services at Hitachi Solutions, in a discussion about IoT Predictive Service Hub.
You will get a practical case study from Lars Moller on why you need to move down the IoT path by focusing on the cost difference between repair before failure versus after failure. Learn how to change behaviors within your organization to avoid situations of failure in the first place.
Lars Möller, General Manager, Services, Al Shirawi Enterprises
• Copperberg Introduction
• Part 1: Hitachi Presentation
• Part 2: Al Shirawi Enterprises Case Study
• Q&A Session