Case Study: Business Analytical Problems
Laxmi Shankar Awasthi
Laxmi Shankar Awasthi, Computer Science, Lucknow Public College of Professional Studies, India.
Manuscript received on 20 May 2016 | Revised Manuscript received on 30 May 2016 | Manuscript published on 30 May 2016 | PP: 1-2 | Volume-5 Issue-2, May 2016 | Retrieval Number: A1544035116©BEIESP
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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: Now days with ever increasing size of the data and ever increasing method of the data collection, the amount of data is growing exponentially. With the downpour of such a huge amount of data from various sources, the use of automated systems and computer platforms is inevitable. The Humans are living in an information age, where the capabilities of the manual data manipulations have long been surpassed. Business Analytics aims to address such issues which are directly related to the interests of the Business. There are different types of problems, and for which there exist different solutions to tackle the specific problems.. This paper will help to understand the existing problem by Case Study.
Keyword: Business Analytics, Machine Learning, Artificial Intelligence, Data Mining.
Scope of the Article: Data Mining