Tous les avis sur Senseye PdM Appliquer les filtres

Filtrer par :
Classer par :
1 avis

Parcourir les avis sur Senseye PdM

1 avis sur 5

Tous les avis sur Senseye PdM Appliquer les filtres

Filtrer par :
1 avis
Classer par :
Andy
  • Secteur d'activité : Génie mécanique ou industriel
  • Taille de l'entreprise : 2–10 employés
  • Logiciel utilisé tous les mois pendant plus d'un an
  • Provenance de l'avis Afficher plus d'informations
Rapport qualité-prix
5
Fonctionnalités
5
Simplicité
5
Support client
5

5
Publié le 01/09/2019

Intuitive Senseye Software Scales Your Predictive Maintenance

I was aware of Senseye as a software application to scale prediction in industry and came across users when I was training front line engineers at Nissan UK, Senseye was new to them and like most they were not open to change. That soon turned around when we started seeing real results coming in as the Senseye software gained more data insights that they could see resulting in avoiding unplanned events.
I've found it very easy to navigate and as a former predictive practitioner could see the enormous benefits that scaling PdM brings; this was something we could only dream of just ten years ago!

Avantages

The intuitive dashboard is excellent for front line users to gain insights quickly and direct their attention to the important few assets thereby freeing up their limited resources.
The feedback loop via the maintainers dashboard is great to alert the support team at Senseye of the type of anomalies found, this information then leverages the power of their machine learning algorithms to get from Predictive to Prognostic.

Inconvénients

Most of my experience is around the front end where the engineers and maintainers interact with the dashboard.
The latest iteration has improved over time to fit the end users needs and become more intuitive.
All of my concerns of a couple of years ago have now been improved due to the excellent support team at Senseye.
It's great that they have engineers with predictive technology backgrounds that understand the challenges that users face daily in an industrial environment.

1 avis

Catégories connexes