Research Article

Towards a Self-service Data Analytics Framework

by  Mohamed M Zaghloul, Amr Ali-Eldin, Mofreh Salem
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Issue 9
Published: October 2013
Authors: Mohamed M Zaghloul, Amr Ali-Eldin, Mofreh Salem
10.5120/13893-1840
PDF

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 },
                        year    = { 2013 },
                        volume  = { 80 },
                        number  = { 9 },
                        pages   = { 41-48 },
                        doi     = { 10.5120/13893-1840 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Mohamed M Zaghloul
                        %A Amr Ali-Eldin
                        %A Mofreh Salem
                        %T Towards a Self-service Data Analytics Framework%T 
                        %J International Journal of Computer Applications
                        %V 80
                        %N 9
                        %P 41-48
                        %R 10.5120/13893-1840
                        %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
  • Evelson, B. June 12, 2012. The Forrester Wave™: Self-Service Business Intelligence Platforms, Q2 2012. Forrester.
  • Business-Software. com. 2012 Edition. Top 10 Business Intelligence Software Report. Business-Software. com.
  • Imhoff, C. and White, C. Third Quarter 2011. Self-Service Business Intelligence: Empowering Users to Generate Insights. TDWI Research.
  • Sherman, R. 2012. A Better Way to Fuel Analytical Needs. Sponsored by Composite Software, White Paper.
  • Endeca Technologies. 2011. Big Data Analytics: Emerging Techniques and Technology for Growth and Profitability. Webinar.
  • SAS. 2012. The Current State of Business Analytics: Where Do We Go From Here? White Paper, Prepared by Bloomberg Businessweek Research Services.
  • IBM/SPSS. www. ibm. com,last visit 1/1/2013.
  • Kxen. www. kxen. com,last visit 30/7/2012.
  • Oracle. www. oracle. com,last visit 1/4/2012.
  • Angoss. www. angoss. com,last visit 1/1/2012.
  • Tibco. http://www. tibco. com,last visit 1/1/2012.
  • Eckerson, W. 2012. Business-driven BI: Using New Technologies to Foster Self-Service Access to Insights. Tableau Software.
  • Eckerson, W. Research Report Excerpt: Essential tips for building a next-generation BI architecture: Hadoop, data warehouse hubs, in-memory BI sandboxes explained. Sponsored by BeyeNETWORK.
  • ?Emerson, M. 2011. Embedding BI Into Your Software Solution — Best Practices. White Paper.
  • Fields, E. and Sheppard, B. 2012. A New Approach to Business Intelligence: Rapid-fire BI. Tableau Software, White Paper.
Index Terms
Computer Science
Information Sciences
No index terms available.
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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