Exemplifying smart functions for a next generation data analytics toolbox

Using data analytics to extract knowledge from middle-of-life product data

Data analytics needs dedicated tools, which are getting complex. In this paper we summarize the results of our literature research done with special attention to existing and potential future tools. The attention is paid mainly to processing big data, rather than to effective semantic processing of middle-of-life data (MoLD). The issue of...

Recommendation function for smart data analytics toolbox to support semantic merging of middle-of-life data streams

Continuous enhancements of connected products make them able to generate and communicate a huge amounts of middle-of-life data streams to their producers. This affordance also creates a challenge for current data analytics tools unable to keep up with the heterogeneous nature and characteristics of these type of data. Accordingly, a function...

What Does Data Analytics Offer for Extracting Knowledge from Middle-of-Life Product Data?

Companies are getting increasingly interested in learning how different customers use their products. Collecting data about the use of products provides useful insights and facilitates design enhancements. Effective data analytics needs dedicated tools. In this paper, we summarize the results of our literature research done with special...