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Risk Analysis of Business Intelligence in Cloud Computing

Risk Analysis of Business Intelligence in Cloud Computing
Risk Analysis of Business Intelligence in Cloud Computing
The paper discusses the issues of risk analysis of Business Intelligence on the basis of Cloud platforms. The study gives an account on various aspects of the issue such as benefits and risks, financial appliance, and a factual process of data analysis. The paper attempts to address the issue in terms of empirical knowledge as long as numerous organizations face difficulties concerning appropriate application of Business Intelligence in the Cloud environment for purposes of risk forecasting and assessment.
Business Intelligence, Cloud Computing, risk management, risk assessment, information technologies
Alsufyani, Raed
25c6fdcb-2c28-456b-8d47-e22238f00f58
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Alsufyani, Raed
25c6fdcb-2c28-456b-8d47-e22238f00f58
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4

Alsufyani, Raed and Chang, Victor (2015) Risk Analysis of Business Intelligence in Cloud Computing. Enterprise Security Workshop 2015, in conjunction with CloudCom 2015, Canada. 30 Nov - 03 Dec 2015.

Record type: Conference or Workshop Item (Paper)

Abstract

The paper discusses the issues of risk analysis of Business Intelligence on the basis of Cloud platforms. The study gives an account on various aspects of the issue such as benefits and risks, financial appliance, and a factual process of data analysis. The paper attempts to address the issue in terms of empirical knowledge as long as numerous organizations face difficulties concerning appropriate application of Business Intelligence in the Cloud environment for purposes of risk forecasting and assessment.

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More information

Accepted/In Press date: 15 September 2015
Venue - Dates: Enterprise Security Workshop 2015, in conjunction with CloudCom 2015, Canada, 2015-11-30 - 2015-12-03
Keywords: Business Intelligence, Cloud Computing, risk management, risk assessment, information technologies
Organisations: Electronics & Computer Science, Electronic & Software Systems

Identifiers

Local EPrints ID: 381611
URI: https://eprints.soton.ac.uk/id/eprint/381611
PURE UUID: 7229cf3b-c095-4c63-84b5-90dba3a95c07

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Date deposited: 15 Sep 2015 18:42
Last modified: 17 Jul 2017 20:26

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