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Business Analytics: Concept to Store, Explore & Retrieve Data Marts, Data Warehouses and Bigdata for Digital Edge Business

Received: 23 March 2017     Accepted: 14 April 2017     Published: 13 June 2017
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Abstract

The development of business analysis as a professional discipline has extended the role and responsibilities of the business analyst (BA). Increasingly, BAs are engaged at an early point. They investigate ideas and problems, formulate options for a way forward and produce business cases setting out their conclusions and recommendations. As a result, the responsibility for advising organisations on effective courses of action lies with BAs, and their work precedes that of the project manager. The early engagement of BAs also places a critical responsibility upon them – the need to ensure that all business changes are in line with the mission, objectives and strategy of the organisation. This business context is the key foundation for understanding and evaluating all ideas, proposals, issues and problems put forward by managers. While few BAs are involved in analyzing and developing strategy, it is vital that they know about the strategy of their organisation so that they can conduct their work with a view to supporting the implementation of the strategy and the achievement of the business objectives. This research paper gives fundamental modeling of Business Analytics with its scope in management science and organization.

Published in International Journal of Engineering Management (Volume 1, Issue 2)
DOI 10.11648/j.ijem.20170102.12
Page(s) 48-53
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Business Analytics, Data Mart, Data Warehouse, Business Intelligence, Bigdata, Bigdata Management, Digital Strategy

References
[1] Bartlett, R. (2013) A Practitioner’s Guide to Business Analytics.McGraw-Hill,New York, NY.
[2] Elbing, A. O. (1970) Behavioral Decisions in Organizations. Scott Foresmanand Company, Glenview, IL.
[3] Isson, J. P., Harriott, J. S. (2013) Win with Advanced Business Analytics. John Wiley & Sons, Hoboken, NJ.
[4] Negash, S. (2004) “Business Intelligence.” Communications of the Association ofInformationSystems. Vol. 13, pp. 177–195.
[5] Paksoy, T., Ozxeylan, E., Weber, G.W. (2013) “Profit-Oriented Supply Chain Network Optimization.” Central European Journal of Operations Research. Vol. 21,No. 2, pp. 455–478.
[6] Stubbs, E. (2011) The Value of Business Analytics. John Wiley & Sons, Hoboken, NJ.
[7] The Digital Finance Imperative: Measure and manage what matters next, CGMA / Oracle, 2015
[8] Global Management Accounting Principles©, CGMA, 2014
[9] From insight to impact: Unlocking opportunities in big data, CGMA, 2013
[10] Joining the dots: Decision making for a new era, CGMA, 2016
[11] Gorry and M. S. Scott-Morton, A Framework for Information Systems, Sloan Management Review, Vol. 13, No. 1, 1971, pp. 56-79; and P. G. W. Keen, Decision Support Systems: An Organizational Perspective, Reading, Mass., Addison-Wesley, 1978
[12] D. Ariely, Predictably Irrational: The Hidden Forces that Shape our Decisions, Harper Collins, 2008
[13] H. A. Simon, Theories of decision-making in economics and behavioral science, American Economic Review, 49, 1959, pp. 253-283; and R. Axelrod, Structure of Decision: The Cognitive Map of Political Elites, Princeton University Press, 1976
[14] P. Todd and I. Benbasat, The use of information in decision making: An experimental investigation of the impact of computer based decision aids, MIS Quarterly, Vol. 16, No. 3, 1992, pp. 373-393
[15] Vandenbosch and S. L. Huff, Searching and scanning: how executives obtain information from executive information systems, MIS Quarterly, Vol. 21, No. 1, 1997, pp. 81-107
[16] See D. Kahneman, Thinking, Fast and Slow, Farrar, Strauss and Giroux, New York, 2011
[17] G. Hodgkinson, The Oxford Handbook of Organizational Decision Making, Oxford New York: Oxford University Press, 2008
Cite This Article
  • APA Style

    Md. Sadique Shaikh. (2017). Business Analytics: Concept to Store, Explore & Retrieve Data Marts, Data Warehouses and Bigdata for Digital Edge Business. International Journal of Engineering Management, 1(2), 48-53. https://doi.org/10.11648/j.ijem.20170102.12

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    ACS Style

    Md. Sadique Shaikh. Business Analytics: Concept to Store, Explore & Retrieve Data Marts, Data Warehouses and Bigdata for Digital Edge Business. Int. J. Eng. Manag. 2017, 1(2), 48-53. doi: 10.11648/j.ijem.20170102.12

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    AMA Style

    Md. Sadique Shaikh. Business Analytics: Concept to Store, Explore & Retrieve Data Marts, Data Warehouses and Bigdata for Digital Edge Business. Int J Eng Manag. 2017;1(2):48-53. doi: 10.11648/j.ijem.20170102.12

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  • @article{10.11648/j.ijem.20170102.12,
      author = {Md. Sadique Shaikh},
      title = {Business Analytics: Concept to Store, Explore & Retrieve Data Marts, Data Warehouses and Bigdata for Digital Edge Business},
      journal = {International Journal of Engineering Management},
      volume = {1},
      number = {2},
      pages = {48-53},
      doi = {10.11648/j.ijem.20170102.12},
      url = {https://doi.org/10.11648/j.ijem.20170102.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijem.20170102.12},
      abstract = {The development of business analysis as a professional discipline has extended the role and responsibilities of the business analyst (BA). Increasingly, BAs are engaged at an early point. They investigate ideas and problems, formulate options for a way forward and produce business cases setting out their conclusions and recommendations. As a result, the responsibility for advising organisations on effective courses of action lies with BAs, and their work precedes that of the project manager. The early engagement of BAs also places a critical responsibility upon them – the need to ensure that all business changes are in line with the mission, objectives and strategy of the organisation. This business context is the key foundation for understanding and evaluating all ideas, proposals, issues and problems put forward by managers. While few BAs are involved in analyzing and developing strategy, it is vital that they know about the strategy of their organisation so that they can conduct their work with a view to supporting the implementation of the strategy and the achievement of the business objectives. This research paper gives fundamental modeling of Business Analytics with its scope in management science and organization.},
     year = {2017}
    }
    

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Author Information
  • Institute of Management & Science (IMS), Sakegaon-Bhusawal, Maharastra State, India

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