Difference between revisions of "Two Eyes One Pizza Research Paper"
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<div style="background: #8b1209; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;letter-spacing:-0.08em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>Research Paper</center></font></div> | <div style="background: #8b1209; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;letter-spacing:-0.08em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>Research Paper</center></font></div> | ||
| − | Access our research paper here:''' | + | Access our research paper here:<br> |
| − | + | '''[[https://wiki.smu.edu.sg/1920t1is428g1/img_auth.php/c/c2/Is428_research_paper.pdf| Analysis of International Food Chain Taipei Stores Performance using Visual Analytics]]''' | |
| − | [[https://wiki.smu.edu.sg/1920t1is428g1/img_auth.php/c/c2/Is428_research_paper.pdf]] | ||
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Revision as of 23:31, 21 November 2019
Research Paper
Abstract - The rapid growth of data in the context of business and the increasing importance of data analytics in business decisions provide us with a great chance to utilize visualization techniques to discover insightful business opportunities. The explosive growth of information collected by business provides a plethora of data in various forms such as text, numbers, geospatial etc. Good visualizations help to provide understanding, by dissecting the data into insights used to drive decisions. This paper aims to explain the ways and methodologies to utilize various visualization tools and technologies that the business could use on their data to generate actionable insights and possible business values. We demonstrate the potential of our work to be applied for business of different scales and with various forms of valuable data.
Access our research paper here:
[Analysis of International Food Chain Taipei Stores Performance using Visual Analytics]
