Social Media Analytics using Qlik Connectors
Siddhartha Ghosh1, Kandula Neha2
1Dr. Siddhartha Ghosh, Department of Computer Science & Engineering, Vidya Jyothi Institute of Technology, Hyderabad (Telangana), India.
2Kandula Neha, Department of Computer Science & Engineering, Vidya Jyothi Institute of Technology, Hyderabad (Telangana), India.
Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3527-3530 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B14340982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1434.0982S1119
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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 digital age high-end computers are used for storing an increased amount of data, which might not be possible a decade ago. These computers run on sophisticated software algorithms producing fast insights needed to make fact-based decisions. By implementing the science of numbers, data and analytical discovery to work together, it has been found that what we think or believe; produce answers to questions we never thought to ask. That’s the power of analytics. Information has been scrutinize as a powerful weapon, and analytics is the forge that creates it. Analytics changes everything, not just in the world of business, but also in science, sports, health care and in few field where enormous data are collected. The combination of analytics and connectors into social media gives an immense accuracy and popularity throughout different forms of business. This paper is the preliminary analysis of few areas considered from social media like Face book, Twitter etc, where data is gathered and analytics is drawn with the help of connectors through Qlik.
Keywords: Analytics, Connectors, Face book, Traditional Methods, Visualization.
Scope of the Article: Social Networks