NDLI: Analytics as a service delivery model for the cloud

Content Provider	IEEE Xplore Digital Library
Author	Arun, J. Hazaruthin, M.M. Karthik, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Inf. Technol., Sri Manakula Vinayagar Eng. Coll., Puducherry, India (Arun, J.; Hazaruthin, M.M.; Karthik, M.)
Abstract	Business Intelligence (BI) for organisations is becoming a growing need to understand their business insights and trends. Currently organisations are trying to leverage BI to maximum extent; however, there is a big gap in turning BI into outcome. BI suffers from challenges like not being able to effectively deal with large volumes of data, complex data, high velocity of data. BI could leverage big data platforms to do what it didn't do in the past. Cloud computing, on the other hand is a technology paradigm that enables organisations or individuals to share various services in a seamless and cost-effective manner. We define a model which can make BI affordable by enabling Analytics as a Service (AaaS). It is cloud-based analytical model that covers end-to-end capabilities of an analytical solution, from data acquisition to business user visualization, reporting and interaction. AaaS delivers clients with analytics on demand and provides various tools for data analytics and it can be configured by the user to efficiently process and analyse huge quantities of heterogeneous data. The result presented at the end of paper brings out the opportunities to enable big data analytics in cloud environment, which makes BI affordable for all organisations.
Starting Page	1
Ending Page	5
File Size	366715
Page Count	5
File Format	PDF
e-ISBN	9781479918546
DOI	10.1109/ICETECH.2015.7275012
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-20
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Analytical models Business Intelligence Computational modeling Organizations Big data Data models Bigdata analytics Data managemen
Content Type	Text
Resource Type	Article

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