Authors :
John Kenny, M. Shaheer A. Khan, Simran Ratanbabu Sunkad, Sundar Das.
Volume/Issue :
Volume 3 - 2018, Issue 10 - October
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://goo.gl/743uEX
Thomson Reuters ResearcherID :
https://goo.gl/KTXLC3
Abstract :
The current market scenario shows a rise in the number of data driven organizations that rely on data to make business process decisions. Although there have been a few studies that have employed machine learning and AI with promising results. This project distinguishes itself from all of them in a very fundamental way. The proposed system aims to perform a stringent financial ratio analysis using Data Science. This would enable any organization to pinpoint its puncture and fix it in time as well as strengthen its strengths. The key to success lies in the interpretation of the analyzed ratios for a particular organization or firm. We intend to propose a system that aims to provide a very relevant interpretation of the analyzed financial ratios. This would enable companies, market experts as well as financially illiterate individuals to ponder in the right direction in terms of business processes.
Keywords :
Data Science, Data Analysis, Business Process Model.
The current market scenario shows a rise in the number of data driven organizations that rely on data to make business process decisions. Although there have been a few studies that have employed machine learning and AI with promising results. This project distinguishes itself from all of them in a very fundamental way. The proposed system aims to perform a stringent financial ratio analysis using Data Science. This would enable any organization to pinpoint its puncture and fix it in time as well as strengthen its strengths. The key to success lies in the interpretation of the analyzed ratios for a particular organization or firm. We intend to propose a system that aims to provide a very relevant interpretation of the analyzed financial ratios. This would enable companies, market experts as well as financially illiterate individuals to ponder in the right direction in terms of business processes.
Keywords :
Data Science, Data Analysis, Business Process Model.
