NDLI: A conceptual framework for delivering cost effective business intelligence solutions as a service

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A conceptual framework for delivering cost effective business intelligence solutions as a service

Content Provider	ACM Digital Library
Author	Muriithi, G. M. Kotzé, J. E.
Abstract	Smart use of business intelligence (BI) can allow organizations to leverage the huge amounts of transactional data at their disposal and turn it into a powerful decision support mechanism that gives them competitive advantage. Despite the potential benefits of an effective BI system, the adoption and use of BI systems within the enterprise remains low, especially among smaller companies with resource constraints. This can partly be explained by the predominant deployment approach available today in which a firm needs to procure, install, configure and operate a BI system in-house. Barriers of high cost, complexity and lack of in-house expertise discourage many firms from adopting BI systems. This paper argues that adopting a cloud computing model, where BI is offered as a service over the Internet can lower these barriers and accelerate the pace of BI adoption. However, migrating BI systems from traditional on-premise environments to the cloud presents huge challenges. There are technical, economic, organizational and regulatory hurdles to overcome. Further, BI systems are multi-component (ETL, Data warehouse, data marts, OLAP, reporting, data mining etc.) and deciding which component(s) to move to the cloud, and which ones to leave on-premise needs careful consideration. In addition, the fact that cloud computing is still in its infancy means there is a general lack of conceptual and architectural frameworks to guide companies considering migrating enterprise systems to the cloud. This paper takes a closer look into traditional BI and proposes a conceptual framework that companies can use to chart an adoption path for cloud BI. The framework combines attributes of IT outsourcing, traditional BI, cloud computing as well as decision theory to present a consolidated view of cloud BI. The domain of South African Higher Education was chosen as the target in which the framework will be tested.
Starting Page	96
Ending Page	100
Page Count	5
File Format	PDF
ISBN	9781450321129
DOI	10.1145/2513456.2513502
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-10-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cloud computing Saas Data warehouses Bi as a service Cloud bi Business intelligence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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