Developing Data Management with Service Design
Helsing, Jaana (2025)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025091724768
https://urn.fi/URN:NBN:fi:amk-2025091724768
Tiivistelmä
This master’s thesis explores how Data Management can be developed into a user-centric service within an Energy Sector Company, using the principles and methods of Service Design. The study is driven by the company's strategic need for better data interoperability, Data Quality, and Data Governance to support business transformation, digitalization, and decision-making.
The research combines a literature review, surveys, and workshops with stakeholders to examine the current state of Data Management and identify areas for improvement. Service Design was chosen for its ability to involve users, enhance customer orientation, and create scalable solutions. Tools like personas, customer journeys, and the Six Hats method were used to co-develop a Data Management service concept.
Key findings revealed significant gaps in Data Governance, Metadata Management, Master Data Management and Data Modeling. There were issues with poor Data Quality and lack of Data ownership. A strong need for group-level coordination, standardised Data Management processes and better tooling for Data Management arise from the study.
The service concept includes: A vision and mission for Data Management, a target operating model with clear roles (e.g., Data Family Owners, Data Subject Area Coordinators) and a development plan for Data Management.
By framing Data Management as a service, the company aims to enhance data usability, Data Quality, and Data Governance across units, fostering a data-driven culture and aligning with strategic goals.
The research combines a literature review, surveys, and workshops with stakeholders to examine the current state of Data Management and identify areas for improvement. Service Design was chosen for its ability to involve users, enhance customer orientation, and create scalable solutions. Tools like personas, customer journeys, and the Six Hats method were used to co-develop a Data Management service concept.
Key findings revealed significant gaps in Data Governance, Metadata Management, Master Data Management and Data Modeling. There were issues with poor Data Quality and lack of Data ownership. A strong need for group-level coordination, standardised Data Management processes and better tooling for Data Management arise from the study.
The service concept includes: A vision and mission for Data Management, a target operating model with clear roles (e.g., Data Family Owners, Data Subject Area Coordinators) and a development plan for Data Management.
By framing Data Management as a service, the company aims to enhance data usability, Data Quality, and Data Governance across units, fostering a data-driven culture and aligning with strategic goals.