Optimizing performance reporting through implementation of business intelligence tools : a case study at Nissan Nordic Europe
Nguyen Xuan Thao, Uyen (2020)
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2020122129799
https://urn.fi/URN:NBN:fi:amk-2020122129799
Tiivistelmä
Nowadays, managing business performance is becoming a fairly difficult and complex process due to the massive growth of information gathered from different systems. Accordingly, more and more organizations have been adopting Business intelligence to manage their performance metrics more effectively.
The main objective of this thesis was to identify the limitations of the current performance reporting process in the case company and examine how BI tools can be used to resolve these existing challenges.
The thesis is divided into two main parts to address the research topic from both theoretical and empirical perspectives. The theoretical framework focuses on different concepts of performance measurement and BI to provide readers with background information on the research topic. On the other hand, this thesis was carried out as a single case study, and qualitative research was chosen as the main method of data collection and analysis. Semi-structured interviews were conducted in order to understand how the organization is managing performance reporting and learn more about stakeholder’s expectations for the optimized process. Accordingly, proposing recommendations for improvement would be formed. Also, other research materials were acquired through participant observation and additional sources such as company documents.
The results of the thesis revealed that the current process is facing a lot of inefficiencies in terms of data reliability and processing time. Manual work, data incompatibility, poor performance, and limited collaboration are perceived as the most critical constraints of the current process. Based on key findings, an optimized process shifting from Excel to BI tools was suggested to reduce data processing time and improve data quality. Moreover, the implementation of BI tools can provide more in-depth and diverse analysis, improving data usage in decision-making. To demonstrate this, the author has also proposed several sample dashboards to assist the case company in improving its performance reporting with the new BI tools.
The main objective of this thesis was to identify the limitations of the current performance reporting process in the case company and examine how BI tools can be used to resolve these existing challenges.
The thesis is divided into two main parts to address the research topic from both theoretical and empirical perspectives. The theoretical framework focuses on different concepts of performance measurement and BI to provide readers with background information on the research topic. On the other hand, this thesis was carried out as a single case study, and qualitative research was chosen as the main method of data collection and analysis. Semi-structured interviews were conducted in order to understand how the organization is managing performance reporting and learn more about stakeholder’s expectations for the optimized process. Accordingly, proposing recommendations for improvement would be formed. Also, other research materials were acquired through participant observation and additional sources such as company documents.
The results of the thesis revealed that the current process is facing a lot of inefficiencies in terms of data reliability and processing time. Manual work, data incompatibility, poor performance, and limited collaboration are perceived as the most critical constraints of the current process. Based on key findings, an optimized process shifting from Excel to BI tools was suggested to reduce data processing time and improve data quality. Moreover, the implementation of BI tools can provide more in-depth and diverse analysis, improving data usage in decision-making. To demonstrate this, the author has also proposed several sample dashboards to assist the case company in improving its performance reporting with the new BI tools.