Extending insight to the Analytics of Mobile Business Intelligence
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2017 by IJETT Journal | ||
| Volume-48 Number-7 |
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| Year of Publication : 2017 | ||
| Authors : Disha Milan Gupta |
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| DOI : 10.14445/22315381/IJETT-V48P265 |
Citation
Disha Milan Gupta "Extending insight to the Analytics of Mobile Business Intelligence", International Journal of Engineering Trends and Technology (IJETT), V48(7),374-377 June 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
This paper is proposed to define the role of Business Intelligence (BI) in an organization that drives profitable business action.Consecutively, it investigates the need of Mobile business intelligence that extends desktop business intelligence (BI) applications so they can be used on mobile devices.Recently, Mobile business intelligence has been a fast growing, challenging and interesting area for enterprises as it enables data that’s captured by the mobile device to be integrated on-the-fly for real time decision making.
References
[1] Vince Leat, ASEAN SW Group (2007)Introduction to Business Intelligence from IBM Corporation.
[2] Peters et al. (2016)Mobile Business Intelligence from Wikipedia.
[3] Powerful Visual Analytics for the Entire Organization Oracle Business Intelligence 12c (2016) from Oracle Data Sheet.
[4] What is Mobile Business Intelligence from www.klipfolio.com
[5] CIO Review(2017) Adopting Mobile Business Intelligence from www.cioreview.com
[6] Insights (2017)The 5 biggest Business Intelligence challenges facing organizations today from www.matillion.com
[7] Sambit Kumar(June 2017)Global Mobile BI Market 2021 Research Report from www.military-technologies.net
[8] Maarten Vanleenhove (2012)Mobile BI going mainstream: the case of Cognos BI 10 Mobile from www.element61.be
[9] IBM (2015)IBM Cognos Mobile from www-01.ibm.com
[10] Ventana Research (2011)”The Challenge of Mobile Business Intelligence” from www.ibm.com
Keywords
Business Intelligence (BI),Decision support systems (DSS),Mobile BI, Information Technology,ROI,Business analytics, Knowledge management,OLAP.