A model for data management and governance practices for everyday business
Munasingha, Saumya; Hietala, Heidi; Elgendy, Nada
CEUR-WS.org
Munasingha, S., Hietala, H., & Elgendy, N. (2024). A model for data management and governance practices for everyday business. In J. Kasurinen, T. Päivärinta, & T. Vartiainen (Eds.), Proceedings of the Annual Doctoral Symposium of Computer Science 2024. CEUR workshop proceedings, 3776, 106-116.
https://creativecommons.org/licenses/by/4.0/
© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
https://creativecommons.org/licenses/by/4.0/
© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202411016559
https://urn.fi/URN:NBN:fi:oulu-202411016559
Tiivistelmä
Abstract
Managing data in the right way to harness its value and use the latest digital tools creates valuable opportunities for growing organizations to manage their operations effectively. Data ownership in a data governance context is a widely discussed topic, and implementing data governance models in specific organizational environments faces different challenges. In this paper, we add knowledge to the existing literature by providing a detailed explanation of the steps of implementing a data organizational structure in a data governance model, specifically focusing on data ownership and improving its usability. We applied the action design research (ADR) method to create an IT artifact that offers effective data management solutions and enhances operational efficiency within the organization. The results show that proposed data governance practices help improve data quality and lead to improved decision-making, while highlighting the impact of clearly defined data ownership, roles, and responsibilities on data governance.
Managing data in the right way to harness its value and use the latest digital tools creates valuable opportunities for growing organizations to manage their operations effectively. Data ownership in a data governance context is a widely discussed topic, and implementing data governance models in specific organizational environments faces different challenges. In this paper, we add knowledge to the existing literature by providing a detailed explanation of the steps of implementing a data organizational structure in a data governance model, specifically focusing on data ownership and improving its usability. We applied the action design research (ADR) method to create an IT artifact that offers effective data management solutions and enhances operational efficiency within the organization. The results show that proposed data governance practices help improve data quality and lead to improved decision-making, while highlighting the impact of clearly defined data ownership, roles, and responsibilities on data governance.
Kokoelmat
- Avoin saatavuus [38840]
Ellei muuten mainita, aineiston lisenssi on https://creativecommons.org/licenses/by/4.0/