29 May
2018

How IIoT transforms enterprise - an infographic

Worximity shares an infographic - by CBS interactive - about IIoT and the enterprise. Discover the most common types of data collected, one of which is performance data.

Industry 4.0
Comment l'IIoT transforme l'entreprise - une infographie

Yannick came across this intersesting infographic about IoT and the Enterprise.

The most common types of data being collected by companies currently using IoT devices are:

  1. Security Data
  2. Employee and customer data
  3. Performance data
  4. Infrastructure data
  5. Inventory tracking data.
IIoT_and_the_enterprise

SOURCE: CBS Interactive Inc.

 

Want to learn more?
Download the ebook
Related blog articles

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
28
Juin 2023

Investing in Industry 4.0: It’s now more important than ever for food & beverage manufacturers of all sizes

English
4
Juillet 2018

The 3 Central Tasks of Data-Driven Transformation

English
20
Août 2019

Partnership - The difference it makes!

English

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
9
Mars 2018

How to Monitor Vertical Form Fill Seal Machines in Real Time

Vertical form fill seal machines are often near the end of high value packaging line in the food and beverage industry. VFFS baggers have to be carefully upkept and monitored, since they can become a production bottleneck. The goal is to minimize downtime, change over delays and maintain uptime.

English
30
Déc 2019

How to Successfully Implement New Machine Monitoring Software

If you’re seeking to implement new machine monitoring software at your factory, it is important to have proper planning before implementation.

English
12
Avril 2018

Machine Monitoring: How Competitive Factories Decide Better

This post explores how valuable the data is that’s gathered in production via machine monitoring, and how cross-functional teams can collaborate better when the data is shared.

English