Four steps away from your own data analysis
Dutch manufacturing industry is on the eve of introducing new production processes and earnings models, including servitization. According to Theun Prins, Director of YP Your Partner, data analysis is to play a decisive role in this. “The use of data is not a new trend, but it is now taking on new forms as a result of experimentation. Extensive data analysis means the future lies in servitization. Soon, our customers will be able to sell improved products and assist their customers through outstanding services,” says Prins.
In recent years, YP Your Partner has been collecting large amounts and diverse kinds of data, which is only likely to grow over the coming years. “70 percent of data has been accrued in the last three years alone. The expectation for 2021 is that the amount of data will have increased by more than 500 percent. Increasingly, our partners are placing sensors for data collection in machines, devices, engineering systems, sewage works, public lighting, bridges and (water) locks,” says Prins. But what exactly is the benefit of all this collected data? “Well, data-driven work!”
Data-driven work refers to situations where data can be used to help organizations perform their core tasks more efficiently. In the future, by having access to data on how a machine operated in the past, its location and other external factors, improved decisions can be made. According to Prins, companies will be able to operate more cost-effectively and generate revenue more easily. “Thanks to data-driven work, companies can plan maintenance and service pro-actively and in a ‘just-in-time’ fashion. In turn, direct savings in travel costs will result. Moreover, machines can be set up in the ideal environment, because suppliers know exactly how machines work in specific situations. In other words, companies will be able to offer their customers improved products and services and immediately reap the benefits.”
The future lies in servitization
According to Prins, it is not a question of ‘how’, but ‘when’ companies will start benefiting from data analysis. “Soon our customers will not just be selling machines or systems, they will also be involved in service provision. Customers expect 24/7 peace of mind and the collection, combination and analysis of different data streams from ERP (Enterprise Resource Planning), MES (Manufacturing Execution System) and SCADA (Supervisory Control and Data Acquisition) will guarantee this.”
Making data analysis your own
Viktor Knoben, data analyst at YP Your Partner, assesses data collected from air-conditioning systems in schools. By experimenting with data, YP Your Partner can realize faster and more efficient analysis. “For example, as a result of data analysis, the C.A.R.S software platform is able to identify a single polluted space from thousands of rooms. We assign scores to elements such as temperature, CO2, alarm calls and filter contamination in rooms by combining individual Key Performance indicators (KPIs) with global KPIs and then comparing them. The data sets are loaded by means of C.A.R.S and, depending on which user is logged in, the software displays the correct KPIs on a dashboard,” explains Knoben.
Direct results in four steps
“The collecting, combining, editing and converting of large amounts of data, to the organization of KPIs and dashboards, can be divided into four steps,” says Knoben.
1. Creating strategic goals and choosing and placing sensors
“The process starts by creating strategic goals and determining Key Success Factors (KSF), KPIs, required data, sources and sensors.”
2. Data collection in a secure database
“In order to collect data, objects, systems and machines must be connected to the Internet. This is also referred to as the Internet of Things (IoT). This data is then securely stored in the cloud or on a server.”
3. Structuring the database
“The analysis software is used to combine and edit the collected data together with many other data streams, such as weather conditions, users and tasks. This results in a structured dataset in figures, dates and clear terminology.”
4. Converting the structured dataset into KPIs and a dashboard
“The intelligent software platform C.A.R.S converts the dataset into the required data overview, including graphs and tables. Consequently, this results in a dashboard with clear KPIs.”
When will you start reaping the benefits of data analysis?
C.A.R.S is a leading software platform which facilitates the remote monitoring, managing and operating of systems, buildings and objects. In combination with business and process knowledge, the C.A.R.S software platform is able to predict which room will become contaminated if a machine part needs replacing or when a system malfunctions.
Moreover, armed with this intelligent information and operating system, you are now just a few steps away from your own data analysis! Isn’t it about time you took the first step? Check out the C.A.R.S video or contact Theun Prins by phone for more information: (+31) 512 589 842.