Data Governance to Support Business Needs A Study with GKN Aerospace Engines
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Typ
Examensarbete på kandidatnivå
Bachelor Thesis
Bachelor Thesis
Program
Publicerad
2024
Författare
Bakkenes, Tim
Gustavsson, Axel
Nilsson, Jakob
Bild, Melker
Junkers, Erik
Trogen, Arvid
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Data governance is an increasingly relevant topic considering the growing global datasphere.
Mishandling data can have risks in the form of leaking sensitive data and missed
benefits from high data quality. Companies are struggling to implement successful data
governance since it is hard to convey the value of data governance to chief executives,
there is insufficient cooperation between business functions and IT functions, and there is
a lack of data literacy.
The purpose of this study is to analyse how organisations can provide conditions for data
governance initiatives to succeed.
A qualitative approach was used because of the complex nature of data governance. The
data collected were both from a literature study, which resulted in a frame of reference,
and an interview study with different experts. A majority of the interviewees were done
at GKN Aerospace, also the idea-provider for this study. GKN Aerospace is currently
looking for ways to improve their data governance.
The frame of reference includes scientific articles about data governance and its success
factors, frameworks and taxonomies, change management, communication within organisations
and portrayal of value, cross-functional collaboration as well as theory about
Generative AI and external factors. Besides scientific articles, business reviews and consulting
reports have been used to get the latest insights about the subject and also a more
practical perspective from people working in the field.
The study has found that conveying the value of data governance to decision makers,
increasing data literacy, encouraging change, and collaborating for data governance strategy
formulation are all central for data governance initiatives to succeed. Conveying
value should be done using KPIs, highlighting concrete use cases of data governance, and
finally, employing a translator e.g. a Chief Data Officer. To increase data literacy and
encourage change it is central to create a common vocabulary and understanding of data
governance. Collaboration for data governance strategy formulation is enabled by decentralised
data asset ownership for increased responsibility, a unified view of what data is
strategically important, and a flexible data strategy that is business oriented.
Beskrivning
Ämne/nyckelord
Data Governance , Data Literacy , Cross-functional collaboration , Business Oriented Data Governance , Artificial Intelligence