Business Analysis


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

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.

CALL FOR PAPERS


Paper Submission Last Date
30 - September - 2021

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe