!Intro Video
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[Data Analytics Video | https://player.vimeo.com/video/670141220?h=3e15012ff4&byline=0]
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__Type of tool:__ e.g. web application or desktop application

__Required skills: __

- Process/material knowledge: e.g. knowledge of material properties

- Digitalization knowledge: e.g. no programming

__Disclaimer:__

__How to use/download/access it:__ e.g. got the the gitup [[link], copy
the code into [[XY] and start using

__Short description of the tool:__ 

- Detailed
description: Link to the guideline: 

__Use case/problem:__ Selecting material (recyclate) for specific
product requirements

__Description of the problem the tools solves:__ [[General] + [[Tool-specific]

__Contact person of the tool: __
Stefan Bloemheuvel

__Verlinkung zu anderen Tools: __

__Background information of the
approach/technology used:__ e.g. short description how the algorithm works

__Additional Links/Weblinks to the topic__: e.g. important research article
etc.



__Process Data Analytics:__

In the current developments towards a smart industry (4.0), more and more data is collected concerning your operation processes. Insights in the data could contribute to improving these processes. After getting the data from your systems, and validating it with help of the Data Validation tool, the Process Data Analytics tools provides insights consisting of reports, visualizations and other analysis methods that describe the state of your processes and/or machinery. The process analytics tool consists of several data analytics modules that describe and analyse the underlying process data. In this tool, we strive to perform data science techniques such as classification, clustering and pattern mining accompanied by visualizations. Within the tool, we focus on the analyzing Time Series data.
The files for the tool can be downloaded at:  [https://github.com/cslab-hub/Data_Analytics_DIPLAST|https://github.com/cslab-hub/Data_Analytics_DIPLAST]