Predictive Maintenance Made for Humans
Predictive Maintenance Made for Humans
Predictive Maintenance Made for Humans
Why should industrial technology be difficult to use?
At the core of Siana’s vision is the belief that industrial technology should be just as easy and intuitive to use as common consumer products. Even though a product is made for manufacturing companies or similar, doesn’t mean that it can’t be as easy to use as Sonos speakers, Apple AirPods or similar.
Through our collaboration with manufacturing companies, we have gotten to know the struggle experienced by maintenance workers, technicians etc. related to implementation and daily use of IT-systems in manufacturing. IT-systems that are more often than not created with an IT-specialist or Data scientist in mind – instead of designing the system to the actual users, the people on the factory floor.
Lack of usability influences implementation and use
The problem with the lack of usability with many of today’s industrial solution is simply that it increases the risk of an unsuccessful implementation of the specific system. If the workers that are supposed to use the system find it too complex and confusing to both install and use, then it is likely that it simply won’t be used as intended. With these systems often being costly to acquire, an unsuccessful implementation quickly results in a failed investment.
How companies try to avoid unsuccessful implementation
In order to try and turn it around, and increase the chances of a successful implementation, many companies focus their attention on recruiting external consultants/experts or try to hire new employees with competencies related to IT-systems, Data Science etc. A costly way to try and fix the underlying problem – that the IT-system was not designed for non-IT people in the first place.
What we do in Siana
In Siana we focus equally on designing an autonomous predictive maintenance system capable of detecting failures in motors, pumps, gear etc. – and at the same time on developing an intuitive user interface designed with the actual user in mind. This means that no prior knowledge is needed in order to get started with intelligent monitoring of machinery. Our app will guide you intuitively through the installation process and on the web platform, where you’ll have a clear overview of all the monitored machines, and more importantly, you’ll know which machines that are in need of maintenance.
Why should industrial technology be difficult to use?
At the core of Siana’s vision is the belief that industrial technology should be just as easy and intuitive to use as common consumer products. Even though a product is made for manufacturing companies or similar, doesn’t mean that it can’t be as easy to use as Sonos speakers, Apple AirPods or similar.
Through our collaboration with manufacturing companies, we have gotten to know the struggle experienced by maintenance workers, technicians etc. related to implementation and daily use of IT-systems in manufacturing. IT-systems that are more often than not created with an IT-specialist or Data scientist in mind – instead of designing the system to the actual users, the people on the factory floor.
Lack of usability influences implementation and use
The problem with the lack of usability with many of today’s industrial solution is simply that it increases the risk of an unsuccessful implementation of the specific system. If the workers that are supposed to use the system find it too complex and confusing to both install and use, then it is likely that it simply won’t be used as intended. With these systems often being costly to acquire, an unsuccessful implementation quickly results in a failed investment.
How companies try to avoid unsuccessful implementation
In order to try and turn it around, and increase the chances of a successful implementation, many companies focus their attention on recruiting external consultants/experts or try to hire new employees with competencies related to IT-systems, Data Science etc. A costly way to try and fix the underlying problem – that the IT-system was not designed for non-IT people in the first place.
What we do in Siana
In Siana we focus equally on designing an autonomous predictive maintenance system capable of detecting failures in motors, pumps, gear etc. – and at the same time on developing an intuitive user interface designed with the actual user in mind. This means that no prior knowledge is needed in order to get started with intelligent monitoring of machinery. Our app will guide you intuitively through the installation process and on the web platform, where you’ll have a clear overview of all the monitored machines, and more importantly, you’ll know which machines that are in need of maintenance.
Why should industrial technology be difficult to use?
At the core of Siana’s vision is the belief that industrial technology should be just as easy and intuitive to use as common consumer products. Even though a product is made for manufacturing companies or similar, doesn’t mean that it can’t be as easy to use as Sonos speakers, Apple AirPods or similar.
Through our collaboration with manufacturing companies, we have gotten to know the struggle experienced by maintenance workers, technicians etc. related to implementation and daily use of IT-systems in manufacturing. IT-systems that are more often than not created with an IT-specialist or Data scientist in mind – instead of designing the system to the actual users, the people on the factory floor.
Lack of usability influences implementation and use
The problem with the lack of usability with many of today’s industrial solution is simply that it increases the risk of an unsuccessful implementation of the specific system. If the workers that are supposed to use the system find it too complex and confusing to both install and use, then it is likely that it simply won’t be used as intended. With these systems often being costly to acquire, an unsuccessful implementation quickly results in a failed investment.
How companies try to avoid unsuccessful implementation
In order to try and turn it around, and increase the chances of a successful implementation, many companies focus their attention on recruiting external consultants/experts or try to hire new employees with competencies related to IT-systems, Data Science etc. A costly way to try and fix the underlying problem – that the IT-system was not designed for non-IT people in the first place.
What we do in Siana
In Siana we focus equally on designing an autonomous predictive maintenance system capable of detecting failures in motors, pumps, gear etc. – and at the same time on developing an intuitive user interface designed with the actual user in mind. This means that no prior knowledge is needed in order to get started with intelligent monitoring of machinery. Our app will guide you intuitively through the installation process and on the web platform, where you’ll have a clear overview of all the monitored machines, and more importantly, you’ll know which machines that are in need of maintenance.
Why should industrial technology be difficult to use?
At the core of Siana’s vision is the belief that industrial technology should be just as easy and intuitive to use as common consumer products. Even though a product is made for manufacturing companies or similar, doesn’t mean that it can’t be as easy to use as Sonos speakers, Apple AirPods or similar.
Through our collaboration with manufacturing companies, we have gotten to know the struggle experienced by maintenance workers, technicians etc. related to implementation and daily use of IT-systems in manufacturing. IT-systems that are more often than not created with an IT-specialist or Data scientist in mind – instead of designing the system to the actual users, the people on the factory floor.
Lack of usability influences implementation and use
The problem with the lack of usability with many of today’s industrial solution is simply that it increases the risk of an unsuccessful implementation of the specific system. If the workers that are supposed to use the system find it too complex and confusing to both install and use, then it is likely that it simply won’t be used as intended. With these systems often being costly to acquire, an unsuccessful implementation quickly results in a failed investment.
How companies try to avoid unsuccessful implementation
In order to try and turn it around, and increase the chances of a successful implementation, many companies focus their attention on recruiting external consultants/experts or try to hire new employees with competencies related to IT-systems, Data Science etc. A costly way to try and fix the underlying problem – that the IT-system was not designed for non-IT people in the first place.
What we do in Siana
In Siana we focus equally on designing an autonomous predictive maintenance system capable of detecting failures in motors, pumps, gear etc. – and at the same time on developing an intuitive user interface designed with the actual user in mind. This means that no prior knowledge is needed in order to get started with intelligent monitoring of machinery. Our app will guide you intuitively through the installation process and on the web platform, where you’ll have a clear overview of all the monitored machines, and more importantly, you’ll know which machines that are in need of maintenance.
Why should industrial technology be difficult to use?
At the core of Siana’s vision is the belief that industrial technology should be just as easy and intuitive to use as common consumer products. Even though a product is made for manufacturing companies or similar, doesn’t mean that it can’t be as easy to use as Sonos speakers, Apple AirPods or similar.
Through our collaboration with manufacturing companies, we have gotten to know the struggle experienced by maintenance workers, technicians etc. related to implementation and daily use of IT-systems in manufacturing. IT-systems that are more often than not created with an IT-specialist or Data scientist in mind – instead of designing the system to the actual users, the people on the factory floor.
Lack of usability influences implementation and use
The problem with the lack of usability with many of today’s industrial solution is simply that it increases the risk of an unsuccessful implementation of the specific system. If the workers that are supposed to use the system find it too complex and confusing to both install and use, then it is likely that it simply won’t be used as intended. With these systems often being costly to acquire, an unsuccessful implementation quickly results in a failed investment.
How companies try to avoid unsuccessful implementation
In order to try and turn it around, and increase the chances of a successful implementation, many companies focus their attention on recruiting external consultants/experts or try to hire new employees with competencies related to IT-systems, Data Science etc. A costly way to try and fix the underlying problem – that the IT-system was not designed for non-IT people in the first place.
What we do in Siana
In Siana we focus equally on designing an autonomous predictive maintenance system capable of detecting failures in motors, pumps, gear etc. – and at the same time on developing an intuitive user interface designed with the actual user in mind. This means that no prior knowledge is needed in order to get started with intelligent monitoring of machinery. Our app will guide you intuitively through the installation process and on the web platform, where you’ll have a clear overview of all the monitored machines, and more importantly, you’ll know which machines that are in need of maintenance.
Ready to explore how Siana can boost operations efficiency?
Ready to explore how Siana can boost operations efficiency?
Get in touch with our friendly experts and get a sneak peek with a live demo. We’re here to help.
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