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The Credit Suisse meta-data warehouse


Jossen, Claudio; Blunschi, Lukas; Mori, Magdalini; Kossmann, Donald; Stockinger, Kurt (2012). The Credit Suisse meta-data warehouse. In: 28th IEEE International Conference on Data Engineering (ICDE), Washington DC, USA, 1 April 2012 - 5 April 2012, 1382-1393.

Abstract

This paper describes the meta-data warehouse ofCredit Suisse that is productive since 2009. Like most otherlarge organizations, Credit Suisse has a complex applicationlandscape and several data warehouses in order to meet theinformation needs of its users. The problem addressed by themeta-data warehouse is to increase the agility and flexibility ofthe organization with regards to changes such as the developmentof a new business process, a new business analytics report, or theimplementation of a new regulatory requirement. The meta-datawarehouse supports these changes by providing services to searchfor information items in the data warehouses and to extract thelineage of information items. One difficulty in the design of sucha meta-data warehouse is that there is no standard or well-knownmeta-data model that can be used to support such search services.Instead, the meta-data structures need to be flexible themselvesand evolve with the changing IT landscape. This paper describesthe current data structures and implementation of the CreditSuisse meta-data warehouse and shows how its services helpto increase the flexibility of the whole organization. A seriesof example meta-data structures, use cases, and screenshots aregiven in order to illustrate the concepts used and the lessonslearned based on feedback of real business and IT users withinCredit Suisse.

Abstract

This paper describes the meta-data warehouse ofCredit Suisse that is productive since 2009. Like most otherlarge organizations, Credit Suisse has a complex applicationlandscape and several data warehouses in order to meet theinformation needs of its users. The problem addressed by themeta-data warehouse is to increase the agility and flexibility ofthe organization with regards to changes such as the developmentof a new business process, a new business analytics report, or theimplementation of a new regulatory requirement. The meta-datawarehouse supports these changes by providing services to searchfor information items in the data warehouses and to extract thelineage of information items. One difficulty in the design of sucha meta-data warehouse is that there is no standard or well-knownmeta-data model that can be used to support such search services.Instead, the meta-data structures need to be flexible themselvesand evolve with the changing IT landscape. This paper describesthe current data structures and implementation of the CreditSuisse meta-data warehouse and shows how its services helpto increase the flexibility of the whole organization. A seriesof example meta-data structures, use cases, and screenshots aregiven in order to illustrate the concepts used and the lessonslearned based on feedback of real business and IT users withinCredit Suisse.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Signal Processing
Physical Sciences > Information Systems
Language:English
Event End Date:5 April 2012
Deposited On:24 Jan 2013 13:27
Last Modified:14 Jul 2020 15:40
ISBN:978-0-7695-4747-3
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/ICDE.2012.41
Other Identification Number:merlin-id:7871

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