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Towards a Self-service Data Analytics Framework

by Mohamed M Zaghloul, Amr Ali-eldin, Mofreh Salem
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 9
Year of Publication: 2013
Authors: Mohamed M Zaghloul, Amr Ali-eldin, Mofreh Salem
10.5120/13893-1840

Mohamed M Zaghloul, Amr Ali-eldin, Mofreh Salem . Towards a Self-service Data Analytics Framework. International Journal of Computer Applications. 80, 9 ( October 2013), 41-48. DOI=10.5120/13893-1840

@article{ 10.5120/13893-1840,
author = { Mohamed M Zaghloul, Amr Ali-eldin, Mofreh Salem },
title = { Towards a Self-service Data Analytics Framework },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 9 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 41-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number9/13893-1840/ },
doi = { 10.5120/13893-1840 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:54:08.975605+05:30
%A Mohamed M Zaghloul
%A Amr Ali-eldin
%A Mofreh Salem
%T Towards a Self-service Data Analytics Framework
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 9
%P 41-48
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The need ?for Self-service data analytics is inevitable as it supports the business in making the right decisions. In ?this paper, we argue that self-service analytics frameworks should be based on a process-centric approach and ?visualized self-service components in order to meet current business demands. Further, we ?enunciate the need for mainly three components: Map component, Process Flow component ?and a Control Model component. Furthermore, we explain the architecture of a self-service ?analytics framework based on these components. Some parts of the proposed framework were deployed to ?different sites and are discussed in detail in this paper. The obtained results showed a clear ?enhancement of data warehouse operation spent from the IT departments' side compared to ?the traditional BI architecture.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Extraction Transformation and Loading (ETL) Business Intelligence (BI) Process-centric collaboration Self-service data analytic Control model Operational Data Store (ODS)

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