Data Driven Pricing and Project Planning
Salonen, Mika (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025052013544
https://urn.fi/URN:NBN:fi:amk-2025052013544
Tiivistelmä
This thesis focuses on improving decision making in a case company based on its operations data, using applied research method. The research was conducted following a Metropolia University of Applied Sciences Industrial Management GATE system, which this thesis report follows closely.
The objective of this thesis is to propose a data analysis tool and its parameters to enable evidence-based decision-making in the case company. The research starts with a literature review, from which a conceptual framework for current state analysis and tool development is developed. The following current state analysis focuses on analyzing the case company operations data and its quality. The current state analysis provides a good overview of the quality of the case company data, and this overview can be used to guide further development tasks as well. After the current state review, a data analysis tool proposal is co-created with key stakeholders, where each key stakeholder shares their own input and wishes for the tool. Lastly, the co-created tool is validated by an end-user group, and feedback from the group is taken into consideration and the tool is further improved before releasing it into wide scale use.
The final improved data analysis tool is a robust and extensive Power BI report, which categorizes work hours and hardware costs from previous projects, and allows user to slice the underlying data with related parameters. The tool visually shows the meaning of data, and it allows users to comprehend the underlying data without the need for a data analyst background.
The objective of this thesis is to propose a data analysis tool and its parameters to enable evidence-based decision-making in the case company. The research starts with a literature review, from which a conceptual framework for current state analysis and tool development is developed. The following current state analysis focuses on analyzing the case company operations data and its quality. The current state analysis provides a good overview of the quality of the case company data, and this overview can be used to guide further development tasks as well. After the current state review, a data analysis tool proposal is co-created with key stakeholders, where each key stakeholder shares their own input and wishes for the tool. Lastly, the co-created tool is validated by an end-user group, and feedback from the group is taken into consideration and the tool is further improved before releasing it into wide scale use.
The final improved data analysis tool is a robust and extensive Power BI report, which categorizes work hours and hardware costs from previous projects, and allows user to slice the underlying data with related parameters. The tool visually shows the meaning of data, and it allows users to comprehend the underlying data without the need for a data analyst background.