Implementing a data management strategy through centralisation within a corporation
Poterasu, Alexandra (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024121636154
https://urn.fi/URN:NBN:fi:amk-2024121636154
Tiivistelmä
This thesis explores the topic of data management through centralisation as a strategy and is being supported by a product implementation. The goal of the presented project has been to develop a data retrieval tool in around three months for one of the teams of the commissioning corporation. The introduction provides a clear overview of the company and project and de-scribes the report structure and relevant research questions.
The theoretical framework investigates the definition and importance of the topic of data centralisation, highlighting the risks associated with its absence and discussing various related strategies and trends, as well as its connection to data management and governance. The considered and utilised tools and project development and design approaches are also covered in this part of the report.
The product built with Power BI is presented in the empirical part, detailing the planning phase which covers associated methodologies and design steps. It then transitions into the development phase, describing the actual implementation process of handling data management, visualisations and additional details. The section concludes with an overview of the continuous testing procedures and feedback mechanisms.
The project achieved its goals, being completed in the planned time span. To reflect on this, the report ends with a discussion, in which the participatory case study is illustrated from the perspective of encountered issues and associated learning outcomes related to implementing the project in a corporate environment. The conclusion provides insights into the future of the field, offering recommendations and considerations on balancing centralisation and decentralisation in data projects.
The theoretical framework investigates the definition and importance of the topic of data centralisation, highlighting the risks associated with its absence and discussing various related strategies and trends, as well as its connection to data management and governance. The considered and utilised tools and project development and design approaches are also covered in this part of the report.
The product built with Power BI is presented in the empirical part, detailing the planning phase which covers associated methodologies and design steps. It then transitions into the development phase, describing the actual implementation process of handling data management, visualisations and additional details. The section concludes with an overview of the continuous testing procedures and feedback mechanisms.
The project achieved its goals, being completed in the planned time span. To reflect on this, the report ends with a discussion, in which the participatory case study is illustrated from the perspective of encountered issues and associated learning outcomes related to implementing the project in a corporate environment. The conclusion provides insights into the future of the field, offering recommendations and considerations on balancing centralisation and decentralisation in data projects.