We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Aggregating global insurance risk in real-time using Elasticsearch and H3

Formale Metadaten

Titel
Aggregating global insurance risk in real-time using Elasticsearch and H3
Serientitel
Anzahl der Teile
237
Autor
Mitwirkende
Lizenz
CC-Namensnennung 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
Insurance companies can underwrite millions of locations and having too much risk in one place can mean the difference between profit and loss. In this session we will explore the business challenge and understand how a geospatial platform based on Elasticsearch and the Uber H3 spatial index can help insurers make better decisions. Insurance companies can underwrite millions of locations through complex distribution networks of brokers and direct channels and having too much risk in one place can mean the difference between profit and loss, In extreme cases a catastrophic event such as 9/11 could bring down the company completely. In this session we will explore the business challenge and understand how a geospatial platform based on Elasticsearch and the Uber H3 spatial index can help insurers make better decisions and avoid accumulation issues. The techniques that we will demonstrate are applicable to many real-world problems where we have large amounts of data that need to be visualised and analysed in real-time. Authors and Affiliations – Mark Varley, Addresscloud, United Kingdom Track – Use cases & applications Topic – Business powered by FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English