Business Intelligence and Advanced Analytics: Impact and Behavior of Business Decision Making Process
S. Ganesan1, S. Gopalsamy2
1S. Ganesan, Ph.D Research Scholar, Department of International Business, Alagappa University Karaikudi (Tamil Nadu), India.
2Dr. S. Gopalsamy, Assistant Professor, Department of International Business, Alagappa University Karaikudi (Tamil Nadu), India.
Manuscript received on 29 September 2019 | Revised Manuscript received on 08 October 2019 | Manuscript Published on 22 October 2019 | PP: 375-379 | Volume-8 Issue-3S October 2019 | Retrieval Number: C10801083S19/2019©BEIESP | DOI: 10.35940/ijrte.C1080.1083S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the current situation, numerous ways are available for the support of leaders, but decision making in an organization are still susceptible to flaws and errors. Among several approaches, Business Intelligence and Advanced Analytics (BI&AA) is considered a valid tool to managers in the pragmatic decision on the basis of well-informed evidence. In spite of high investment, there is a massive backdrop in this BI&AA project. Managers have aided with numerous guidelines in making decisions, and those guidelines include information from research works, then things based on guts, and on data that are available. With the help of various experiments, this research has done to investigate whether the information available for decision making affects the mind of the managers or its influence cause change in decision outcome. This research outcome with both descriptive and prescriptive decision theories and further existing literature in the field of BI. As per the result of this research study, remedies are given to improve BI&AA solutions.
Keywords: Business Intelligence, Data Analytics, Bigdata, Decision Making.
Scope of the Article: Swarm Intelligence