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  Published Paper Details:

  Paper Title

DATA SCRAPING AND PREDICTIVE ANALYSIS IN BUSINESS INTELLIGENCE

  Authors

  Clindan,  Dhanya Anto

  Keywords

Data scraping, predictive analysis, business intelligence

  Abstract


Data is one of the most powerful and influential forces of our day. Data is important in practically every industry, from journalism to business to medical to politics. Predictive analysis has evolved from what was originally known as business intelligence. While business intelligence and predictive analytics both use similar concepts, business intelligence focuses on the past, and predictive analysis, as the name implies, focuses on the future. To make the marketing process more efficient, web scraping and predictive analytics can be combined. This can be accomplished through the use of a variety of techniques, such as business intelligence. Primary goal will be to make money for any business. In this paper, we'll look at how to use web scraping and predictive analytics to promote business products. Integrating the two processes is extremely advantageous to the company. Web scraping is utilized to collect data and predictive analytics is used to determine the most effective marketing approaches.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2203008

  Paper ID - 216457

  Page Number(s) - a41-a47

  Pubished in - Volume 10 | Issue 3 | March 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Clindan,  Dhanya Anto,   "DATA SCRAPING AND PREDICTIVE ANALYSIS IN BUSINESS INTELLIGENCE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 3, pp.a41-a47, March 2022, Available at :http://www.ijcrt.org/papers/IJCRT2203008.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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