Initially, Valmet's Industrial Internet platform was developed using third-party commercial components, as it was all about data analysis and visualisation. The amount of data is huge and new data is constantly being added. They wanted to be able to analyse data over a long period of time and in a holistic way, even at the factory level or for groups of factories. Data processing and analysis was to be made possible, according to access rights and in a secure manner, for a wide range of users at Valmet.
Valmet's customers' business needs on the production efficiency side include improving quality management or achieving best quality production at optimised cost. Energy efficiency and emission efficiency are key themes in cost optimisation.
To address these needs, Valmet developed its own self-service data analytics portal in collaboration with Knowit. A good team model ensured the scaling up and down of the necessary expertise at different stages of the development lifecycle.
The first version of the data analytics platform designed for time series data, IoT and process technology has been released, enabling more and more users to easily access the data they have access to. Once the analytics portal reached a certain maturity point, it was possible to launch a self-service analytics platform.
The ease of use of the platform means that the data user does not need to be an expert in data analytics, and this has led to a wider use of the data at Valmet. It enables more fact-based decisions and supports customers in their challenges, such as starting up new plants, optimising existing plants or solving failure situations. Helping customers more effectively has a positive impact on the environment as a whole.
In the future, the aim is to develop more advanced analytics, such as self-learning AI and computer vision applications that are user-friendly and easily accessible to more and more people.