Asset Data Analytics is a systematic analytical process that applies statistical, computational, and machine learning techniques to asset-related data to extract actionable insights, optimize asset performance, and support decision-making across the asset lifecycle, distinguishing itself from general data analytics by its specific focus on the acquisition, maintenance, utilization, and governance of physical, digital, or financial assets within organizational contexts.
37
Publications
4.7K
Citations
133
Authors
68
Institutions
Publications per year
2017–2026
28
Parents
Publications
37
Artificial Intelligence in Asset Management
Söhnke M. Bartram, Jürgen Branke, Mehrshad Motahari · SSRN Electronic Journal · 2020 · 71 citations · Full text
Business, Finance, Risk Management +17
1–5 of 37
Authors
133
- PR
2
h-index
- MM
2
h-index
- DH
2
h-index
- SM
2
h-index
- OO
2
h-index
1–5 of 133
Institutions
68
University of Cambridge
Cambridge, United Kingdom
4 h-index
5 publications
182 citations
University of Auckland
Auckland, New Zealand
2 h-index
2 publications
34 citations
Cambridge School
Lisbon, Portugal
2 h-index
2 publications
84 citations
Yale University
New Haven, United States
2 h-index
4 publications
144 citations
University of Warwick
Coventry, United Kingdom
2 h-index
4 publications
168 citations
Centre for Economic Policy Research
London, United Kingdom
2 h-index
2 publications
84 citations
The University of Queensland
Brisbane, Australia
2 h-index
6 publications
282 citations
Indian Institute of Technology Delhi
New Delhi, India
1 h-index
1 publications
53 citations
1–8 of 68
Venues
- SSRN Electronic Journal
Repository · 4 publications · 146 citations
4
h-index
- Procedia CIRP
2 publications · 65 citations
2
h-index
- The Journal of Financial Data Science
JFDS · 2 publications · 34 citations
2
h-index
- The Journal of Portfolio Management
JPM · 2 publications · 25 citations
1
h-index
- Sustainability
1 publications · 23 citations
1
h-index
1–5