Supporting Decision Making: The BI Sweet Spot

Michael Gendron; William Yeoh; Robert Swarr

doi:10.3233/978-1-61499-399-5-279

Supporting Decision Making: The BI Sweet Spot

Michael Gendron, William Yeoh, Robert Swarr

Management and Strategy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In this paper, we propose the concept: the BI Sweet Spot. The BI Sweet Spot ecosystem includes mobile computing, cloud computing and Big Data. We provide an overview for each of the key components and explain how these three components support the BI Sweet Spot. We also discuss best practices for managing these essential components. This study is the first-of-its-kind work in the BI research that considers the inter-relationships and the combined effect of mobile, cloud and Big Data.

Original language	English
Title of host publication	DSS 2.0 - Supporting Decision Making with New Technologies
Editors	Gloria Phillips-Wren, Sven Carlsson, Ana Respicio, Patrick Brezillon
Pages	279-290
Number of pages	12
DOIs	https://doi.org/10.3233/978-1-61499-399-5-279
Publication status	Published - 2014

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	261
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Keywords

Big Data
Business intelligence
Cloud
Mobile

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10.3233/978-1-61499-399-5-279

Cite this

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abstract = "In this paper, we propose the concept: the BI Sweet Spot. The BI Sweet Spot ecosystem includes mobile computing, cloud computing and Big Data. We provide an overview for each of the key components and explain how these three components support the BI Sweet Spot. We also discuss best practices for managing these essential components. This study is the first-of-its-kind work in the BI research that considers the inter-relationships and the combined effect of mobile, cloud and Big Data.",

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Supporting Decision Making: The BI Sweet Spot. / Gendron, Michael; Yeoh, William; Swarr, Robert.
DSS 2.0 - Supporting Decision Making with New Technologies. ed. / Gloria Phillips-Wren; Sven Carlsson; Ana Respicio; Patrick Brezillon. 2014. p. 279-290 (Frontiers in Artificial Intelligence and Applications; Vol. 261).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yeoh, William

AU - Swarr, Robert

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AB - In this paper, we propose the concept: the BI Sweet Spot. The BI Sweet Spot ecosystem includes mobile computing, cloud computing and Big Data. We provide an overview for each of the key components and explain how these three components support the BI Sweet Spot. We also discuss best practices for managing these essential components. This study is the first-of-its-kind work in the BI research that considers the inter-relationships and the combined effect of mobile, cloud and Big Data.

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KW - Cloud

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DO - 10.3233/978-1-61499-399-5-279

M3 - Conference contribution

SN - 9781614993988

T3 - Frontiers in Artificial Intelligence and Applications

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BT - DSS 2.0 - Supporting Decision Making with New Technologies

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A2 - Carlsson, Sven

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ER -

Supporting Decision Making: The BI Sweet Spot

Abstract

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Keywords

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