Driven by data – A case study on how to become a more data-driven organization
Robertson, Kati (2022)
Avaa tiedosto
Lataukset:
2022
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2022052411609
https://urn.fi/URN:NBN:fi:amk-2022052411609
Tiivistelmä
This thesis’ main objective was to investigate how the client organization could become more data-driven by researching what being a data-driven organization means and by demonstrating how data can better support the client organization’s decision-making. Another objective was to promote data-driven culture within the client organization. The leaders of the client organization had expressed their interest in utilising data in decision-making which is why this study was undertaken.
The main expected outcome of this research was to understand the client’s current and desired data and analytics state and based on these findings provide recommendations for the future. Another expected outcome was that the client organization’s leaders’ interest towards data-driven decision-making would increase while the benefits could be seen in the form of a demonstration and by participating in this study.
The thesis’ theoretical part includes the description of two key concepts; what is meant by data-driven organization and what is modern analytics in a nutshell. These concepts are described in general terms and are based on literature. The purpose of this was to create a solid background and understanding of the topic.
A qualitative research approach was used in this thesis and case study was selected as a research strategy. Demonstration and future recommendations were also part of this study as they provided practical outcomes to the client organization. The data collection methods included questionnaire, workshop, semi-structured interview, document analysis and feedback survey.
This study showed that by understanding data-driven approaches and assessing the client organization’s current and desired data and analytics state, recommendations for future steps can be made. In the process of demonstrating the benefits of data-driven approaches and advocating about the data-driven possibilities, the client organization’s decision-makers interest towards data-driven journey was elevated. This is important in relation to promoting data-driven culture and it is promising for the future development in the client organization’s journey to become more data-driven.
The main expected outcome of this research was to understand the client’s current and desired data and analytics state and based on these findings provide recommendations for the future. Another expected outcome was that the client organization’s leaders’ interest towards data-driven decision-making would increase while the benefits could be seen in the form of a demonstration and by participating in this study.
The thesis’ theoretical part includes the description of two key concepts; what is meant by data-driven organization and what is modern analytics in a nutshell. These concepts are described in general terms and are based on literature. The purpose of this was to create a solid background and understanding of the topic.
A qualitative research approach was used in this thesis and case study was selected as a research strategy. Demonstration and future recommendations were also part of this study as they provided practical outcomes to the client organization. The data collection methods included questionnaire, workshop, semi-structured interview, document analysis and feedback survey.
This study showed that by understanding data-driven approaches and assessing the client organization’s current and desired data and analytics state, recommendations for future steps can be made. In the process of demonstrating the benefits of data-driven approaches and advocating about the data-driven possibilities, the client organization’s decision-makers interest towards data-driven journey was elevated. This is important in relation to promoting data-driven culture and it is promising for the future development in the client organization’s journey to become more data-driven.