University of Twente Student Theses
Data quality analysis to support carbon foot printing
Maessen, C.D.G. (2024) Data quality analysis to support carbon foot printing.
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| Abstract: | This thesis analyses the data quality of HST regarding a BigMile carbon analysis. BigMile is a tool which maps the carbon footprint of a company. With a report of the carbon footprint becoming a requirement for companies it is important to investigate the data quality to give an accurate insight. In this thesis, the Managerial Problem Solving Method (MPSM) is used. The actions in the research are that the data quality requirements are set, data quality dimensions are selected, the data set is cleaned and the data set is analysed for possible problems. Queries are created with Excel Query to solve some of the issues and improve the data quality. Without using the Excel Queries the data sets were not suitable for the Lean & Green input file and therefore not suitable for a BigMile analysis. When using the designed Excel Queries a maximum data quality level of Silver can be achieved. This could result in a maximum of three Lean & Green Stars when only taking data quality into account. The analysis revealed several significant issues such as the lack of data regarding loading metres, hidden information on partial shipments in the exports and missing vehicle IDs. These findings are needed for improving the data quality to give an accurate overview of the current, and past, carbon footprint of the company. It is recommended to delve into the accuracy of loading metres, develop strategies to gather the data needed regarding Vehicle IDs and explore strategies to link HST Group datasets straight from the database to the BigMile analysis format. These possible actions could result in an improvement in the data quality to the Gold data quality level. |
| Item Type: | Essay (Bachelor) |
| Clients: | HST Groep, Enschede, NL |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 50 technical science in general, 85 business administration, organizational science |
| Programme: | Industrial Engineering and Management BSc (56994) |
| Link to this item: | https://purl.utwente.nl/essays/102973 |
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