Quantifying ROI and Business Value For Predictive Maintenance - with Richard Ella

Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – the platform which enables predictive
maintenance at scale across all of your assets, across all of your
plants.This episode discusses:Predictive Maintenance & ROI: The
episode discusses the transition from reactive to predictive
maintenance and how establishing clear return on investment (ROI)
metrics is key to justifying and optimizing maintenance
strategies.Key Performance Indicators (KPIs): It outlines essential
KPIs—including unplanned downtime, maintenance-related downtime,
asset life extension, efficiency gains, and knowledge
retention—that together define success.Building Trust &
Collaboration: Emphasis is placed on the importance of engaging in
honest, detailed conversations with customers to build trust and
align expectations, ensuring that predictive maintenance projects
deliver real value.Data-Driven Decision Making & AI Adoption:
The conversation highlights how leveraging data and generative AI
can provide deep insights into asset performance, enabling more
intelligent maintenance practices and faster diagnosis.Continuous
Learning & Knowledge Sharing: The episode underscores the value
of capturing, sharing, and using knowledge—both successes and
setbacks—to continuously improve maintenance processes and reduce
overall downtime.Quote of the episode: “Return on investment KPIs
are like layers in a ladder—you can’t jump straight to one without
establishing a baseline. They’re all interwoven and necessary to
build a complete picture of success.”You can find out more about
how Senseye Predictive Maintenance can reduce unplanned downtime
and contribute towards improved sustainability within your
manufacturing plants, by
visiting:www.siemens.com/senseye-predictive-maintenance