International Journal of Advanced Networking and Applications

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Cloud Business Intelligence


Affiliations
1 Inforce Engineering Consultant, Egypt
2 Department of Information Systems, Faculty of Computers & Information, Helwan University, Egypt
 

Using Business Intelligence in the cloud is considered a key factor for success in various fields in 2018, about 66 percent of successful organizations in BI already using cloud. 86% of Cloud BI adopters choose Amazon AWS as their first choice, 82% choose Microsoft Azure, 66% choose Google Cloud, and 36% identify IBM Bluemix as their preferred provider of cloud BI services. In recent years, both Business Intelligence and cloud computing have undergone dramatic changes and advancements. The newest capabilities that these recent developments bring forth are introduced. In this paper the latest technologies in the field of Cloud (SaaS) BI is introduced. The paper shows also that many of the current problems in Cloud (SaaS) BI can be solved by enhance the performance and increase the use and acceptance of this technology. Many of the key characteristics of Business Intelligence systems tend to complement those of cloud computing systems and vice versa. Therefore, when integrated properly, these two technologies can be made to strengthen each other’s advantages and eliminate each other’s weaknesses.

Keywords

Business Intelligence, Software as A Service, Infrastructure as A Service, Platform as A Service, Enterprise Information Integration, Cloud Computing.
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  • Brist Inc. Why Cloud BI? The 9 Substantial Benefits of Software-as-a-Service Business Intelligence, White paper, 2010

  • Gartner RAS Core Research, Data in the Cloud: Changing Nature of Managing Data Accessibility, 2009.

  • Gartner, Gartner Says Emerging Technologies will marginalize its Role in Business Intelligence, 2008.

  • SAP Business Objects Portfolio, Strategic Alignment, Predictable Performance, and Confident Decisions, www.sap.com/solutions/businessobjects.

  • Inmon, W. H., Building the data warehouse. John Wiley Sons, Inc., New York (NY, USA), 2005.

  • Moss, S.T. and Atre, S., Business Intelligence Roadmap – The Complete Project Lifecycle forDecision Support Applications. Wiley, Boston, 2005.

  • Baars, H. and Kemper, H.G., Management Support with Structured and Unstructured Data – An Integrated Business Intelligence Framework. Information Systems Management, 25 (2), 132-148, 2008.

  • Bose, R., Advanced analytics: opportunities and challenges. Industrial Management and Data Systems, 109 (2), 55-172, 2009.

  • Baars, H., Horakh, T.A. and Kemper, H.G., Business Intelligence Outsourcing – A Framework. Proceedings of the 15th European Conference on Information Systems (ECIS2007), St. Gallen (Switzerland), 2007.

  • Hayes, B., Cloud Computing. Communications of the ACM, 51 (7), 9-11. 2008.

  • Kern, T., Lacity, M.C. and Willcocks, M.P. Netsourcing: renting business applications and services over a network. Prentice Hall, Upper Saddle River (NJ, USA), 2002.

  • McKnight, W. Introducing the Data Warehouse Appliance, Part I. DMReview, March 2005, 16., 2005.

  • Shimaa Ouf and Mona Nasr, The Cloud Computing: The Future of BI in the Cloud, International Journal of Computer Theory and Engineering, Vol. 3, No. 6, December 2011.

  • R. Buyya, C. S. Yeo, and S. Venugopal, “Market-Oriented Cloud Computing: Vision, Hype and Reality for Delivering IT Services as Computing Utilities.” Future Generation Computer Systems, 25, 599-616, 2009.

  • Horakh,Thomas, et al “Service-Based Approach as a Prerequisite for BI Governance,” Proceedings of the 14th Americas Conference on Information Systems (AMCIS), Toronto, 2008.

  • Shimaa Ouf and Mona Nasr, Business Intelligence in The Cloud, In the Proceeding of the 2011 International Conference on Computer and Network Engineering (ICCNE 2011), indexed by the Ei-Compendex, ISI Proceeding and other indexing services, Zhengzhou, China, 17 – 19 June 2011.

  • Columbus Louis, The State Of Cloud Business Intelligence, www.Forbes.com, 2018; https://www.forbes.com/sites/louiscolumbus/2018/04/08/the-state-of-cloud-business-intelligence2018/#6730f8622180

  • Singh et el, Load Balancing in Cloud Computing Environment: A Comparative Study of Service Models and Scheduling Algorithms, International Journal of Advanced Networking and Applications IJANA, Volume: 08 Issue: 06 Pages: 3246-3252, 2017.


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  • Cloud Business Intelligence

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Authors

Khaled ElMalah
Inforce Engineering Consultant, Egypt
Mona Nasr
Department of Information Systems, Faculty of Computers & Information, Helwan University, Egypt

Abstract


Using Business Intelligence in the cloud is considered a key factor for success in various fields in 2018, about 66 percent of successful organizations in BI already using cloud. 86% of Cloud BI adopters choose Amazon AWS as their first choice, 82% choose Microsoft Azure, 66% choose Google Cloud, and 36% identify IBM Bluemix as their preferred provider of cloud BI services. In recent years, both Business Intelligence and cloud computing have undergone dramatic changes and advancements. The newest capabilities that these recent developments bring forth are introduced. In this paper the latest technologies in the field of Cloud (SaaS) BI is introduced. The paper shows also that many of the current problems in Cloud (SaaS) BI can be solved by enhance the performance and increase the use and acceptance of this technology. Many of the key characteristics of Business Intelligence systems tend to complement those of cloud computing systems and vice versa. Therefore, when integrated properly, these two technologies can be made to strengthen each other’s advantages and eliminate each other’s weaknesses.

Keywords


Business Intelligence, Software as A Service, Infrastructure as A Service, Platform as A Service, Enterprise Information Integration, Cloud Computing.

References