In the process of introducing an analytics application to an existing production, projects typically follow a process model for guidance and orientation. Most of the project consider a process like CRISP-DM that contains steps like business case analysis, data preparation, model building and testing. It is also very common to adopt some sort of iterative …
I would like to share some thoughts on pattern search in multivariate time series data in industrial applications. The task of pattern search is highly useful for many different applications like: finding similar previous behaviour of a machine in an error case, counting process occurrencies for KPIs, early detection of anomalies. We consider now a …
In this article I would like to share my vision on the evolution of self-service analytics. As data science and machine learning enters in nearly every business area, more and more people need to deal with new tools and possibilities. That’s why self-service came up. The idea is to bring the data closer to the …