Creation of Automated EazyBI Data Graphs for Project Progress Reporting
Vesterinen, Salla (2021)
Lataukset:
Vesterinen, Salla
2021
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202103314052
https://urn.fi/URN:NBN:fi:amk-202103314052
Tiivistelmä
The purpose of this study was to create automated EazyBI graphs for Airbus Defence and Space based on provided project data. The goal was to provide summarized and easily understandable data graphs for different projects to be able to see the progress and possible problem areas.
Visualized data graphs are needed to provide an easy but comprehensive view of the project data since results can often go unnoticed or be overlooked if shown in a more traditional, non-visualized manner. There are often difficulties when aiming to provide data optimally since every case is different, and the tools should be chosen accordingly.
The approach taken was to start by going through the different tools and types of data used and received in each project, and agreeing with the project managers on the key progress indicators to focus on. The data received for each project was imported to the chosen Business Intelligence tool, EazyBI from Jira, and could be processed and formatted there before publishing as dashboards in Confluence.
As a result, these new data report graphs should provide necessary information about the progress of each project concisely which meets the needs of the company. The data that can be presented in the new graphs should be more in-depth and dynamically visualized, therefore providing more information than before. Based on this thesis it should also be possible to create further graphs for different teams in the company.
Visualized data graphs are needed to provide an easy but comprehensive view of the project data since results can often go unnoticed or be overlooked if shown in a more traditional, non-visualized manner. There are often difficulties when aiming to provide data optimally since every case is different, and the tools should be chosen accordingly.
The approach taken was to start by going through the different tools and types of data used and received in each project, and agreeing with the project managers on the key progress indicators to focus on. The data received for each project was imported to the chosen Business Intelligence tool, EazyBI from Jira, and could be processed and formatted there before publishing as dashboards in Confluence.
As a result, these new data report graphs should provide necessary information about the progress of each project concisely which meets the needs of the company. The data that can be presented in the new graphs should be more in-depth and dynamically visualized, therefore providing more information than before. Based on this thesis it should also be possible to create further graphs for different teams in the company.