Prima Power Analytics Application : Using React.js
Rice, Neil (2018)
Rice, Neil
Vaasan ammattikorkeakoulu
2018
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2018121321505
https://urn.fi/URN:NBN:fi:amk-2018121321505
Tiivistelmä
Over the last decade companies in the manufacturing industry have become very efficient at gathering large amounts of data from machines. The problem many companies face is how best to use this data for analysis in order to improve production and essentially save money. Reporting dashboards have become increasingly popular as a way to display data, however the analysis is still mainly left to the human operator of the dashboard. With the current advancement of machine learning and data visualization tools, future data analytic tools can rely more on technology, giving the human operator more time to do other tasks.
The aim of this thesis work was to design and develop a front end web application for the company Prima Power to demonstrate at the 2018 EuroBlech trade fair. The application, made with the javascript framework ReactJS was to be modern in design, fully functional and include a number of data analytic visualizations as well as a notification system demonstrating machine learning outcomes.
The thesis work was completed with the finished web application meeting all the set requirements and was presented at the 2018 EuroBlech trade fair in Hannover, Germany.
The aim of this thesis work was to design and develop a front end web application for the company Prima Power to demonstrate at the 2018 EuroBlech trade fair. The application, made with the javascript framework ReactJS was to be modern in design, fully functional and include a number of data analytic visualizations as well as a notification system demonstrating machine learning outcomes.
The thesis work was completed with the finished web application meeting all the set requirements and was presented at the 2018 EuroBlech trade fair in Hannover, Germany.