Loss Data Management
Loss Data Management is a systematic framework within insurance data management that specifically governs the collection, validation, storage, analysis, and reporting of historical loss data to support risk assessment, pricing, and regulatory compliance in actuarial and insurance contexts.
18
Publications
569
Citations
57
Authors
30
Institutions
Publications per year
2017–2026
4
Parents
18
Francesco Ballio, Daniela Molinari, Guido Minucci et al. · Journal of Flood Risk Management · 2015 · 38 citations · Full text
DE Groeve Tom, Poljansek Karmen, Ehrlich Daniele et al. · Joint Research Centre (European Commission) · 2014 · 34 citations
1–5 of 18
57
2 publications · 52 citations
2
h-index
2 publications · 52 citations
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 57
30

London South Bank University
London, United Kingdom
1 h-index
1 publications
18 citations
Politecnico di Milano
Milan, Italy
1 h-index
8 publications
304 citations
Regione Puglia
Bari, Italy
1 h-index
2 publications
76 citations

Oeschger Centre for Climate Change Research
Bern, Switzerland
1 h-index
1 publications
23 citations
University of Pavia
Pavia, Italy
1 h-index
1 publications
11 citations

University of Milan
Milan, Italy
1 h-index
1 publications
11 citations
Regione Umbria
Perugia, Italy
1 h-index
2 publications
76 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
1 h-index
1 publications
23 citations
1–8 of 30
2 publications · 227 citations
2
h-index
Repository · 2 publications · 52 citations
2
h-index
Repository · 1 publications · 16 citations
1
h-index
1 publications · 16 citations
1
h-index
1 publications · 38 citations
1
h-index
1–5