In connection with ScaleUp 360° Industry of Things, the German speaking digital event for strategists and thought leaders in smart manufacturing & process optimization, we.CONECT Global Leaders interviewed Arjan van Staveren (Country Manager Germany) from Snowflake about their participation at Industry of Things.
Arjan van Staveren, Snowflake Inc. & Barbara Duna, we.CONECT Global Leaders GmbH
Raising awareness for this is the first important step. In order to permanently solve the problem of data quality, companies should, on the one hand, rely on a platform that brings all information together and thus prevents a certain area from being forgotten, the insights of which could turn out to be crucial. On the other hand, it is important to establish uniform data governance rules that apply to all departments. This not only ensures who has access to what information and to what extent it can be used. It also regulates that all data generated internally or flowing in from different sources have the same quality standards and can be used for analyses that are guaranteed to produce valid results.
To be able to change this in the long term, both a technological and a cultural change are needed. This means that, firstly, the necessary technological foundation must be laid that breaks down the existing silos and thus makes barrier-free data use possible. Secondly, it is just as important to create an awareness of the importance of data among all employees. Only when everyone is working together will companies be able to ensure that no new silos are created and that all available information is always maintained to the best of their ability.
This is exactly where many companies still fail. They see the opportunities that the IoT landscape offers them, but they are not able to transmit them to live and make them accessible across all departments. This is where Snowflake’s Data Cloud can help. It forms the ideal interface for sharing IoT data without latency. Being able to seamlessly integrate data from on-premise solutions also plays an important role, as many companies still rely on hybrid structures. By combining the different systems, the collection and processing of IoT data is significantly accelerated. This gives companies the opportunity to identify optimisation potential and improve both internal and external processes, which will ultimately result in an increase in revenue.