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Data Structuring and Decision-Making in Property Management: A Framework for Implementation, Value Creation and Data-Driven Decision-Making
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management.
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management.
2025 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Datastrukturering och beslutsfattande inom fastighetsförvaltning : Ett ramverk för implementering, värdeskapande och datadrivet beslutsfattande (Swedish)
Abstract [en]

Digitalization has rapidly increased the availability of property data, yet many property owners struggle to convert this data into actionable insights. This study explores how structured property data can create value and support a shift toward proactive and data-driven property management. Based on two case studies and interviews with industry professionals, a six-step framework was developed to support the transition from unstructured property data to data-driven decision-making. The framework was tested and refined with three large property owners, demonstrating the need to combine technical solutions with organizational change.

The thesis concludes that structured property data not only enhances operational efficiency but also enables better procurement, long-term planning and more sustainable and well-informed decision-making. The findings emphasize that leadership engagement, user-friendly systems and a clear responsibility structure are essential for achieving long-term value. Overall, the study shows that a clear framework can turn data structuring into a practical tool for supporting informed and long-term decision-making in property management.

Abstract [sv]

Digitaliseringen har lett till en snabb ökning av tillgänglig fastighetsdata, men många fastighetsägare saknar struktur för att omvandla denna data till praktiskt beslutsunderlag. Denna studie undersöker hur strukturerad fastighetsdata kan skapa värde och stödja ett mer proaktivt och datadrivet arbetssätt inom fastighetsförvaltning. Genom två fallstudier och intervjuer med branschaktörer har ett sexstegsramverk tagits fram som beskriver transformationen från ostrukturerad data till datadrivet beslutsfattande. Ramverket testades och reviderades i samarbete med tre större fastighetsägare och visar hur tekniska lösningar måste kombineras med organisatoriska förändringar.

Studien visar att strukturerad fastighetsdata inte bara ökar den operativa effektiviteten utan även möjliggör bättre upphandlingar, strategisk planering samt hållbart och välgrundat beslutsfattande. För att uppnå långsiktigt värde krävs även tydligt ledarskapsengagemang, användarvänliga system och en tydlig ansvarsfördelning. Sammantaget visar studien att ett tydligt ramverk kan göra datastrukturering till ett praktiskt verktyg för att stödja informerade och långsiktiga beslut i fastighetsförvaltning.

Place, publisher, year, edition, pages
2025. , p. 80
Series
TRITA-ABE-MBT ; 25479
Keywords [en]
Decision making, Data-Driven Decision-Making, Value Creation, Data Utilazation, Property Management, Expertise
Keywords [sv]
Beslutsfattande, datadrivet beslutsfattande, värdeskapande, dataanvändning, fastighetsförvaltning, expertis
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-365827OAI: oai:DiVA.org:kth-365827DiVA, id: diva2:1979325
External cooperation
Svefa
Educational program
Degree of Master
Supervisors
Examiners
Available from: 2025-06-30 Created: 2025-06-30 Last updated: 2025-06-30Bibliographically approved

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CiteExportLink to record
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