Indian Journal of Science and Technology
Year: 2021, Volume: 14, Issue: 5, Pages: 508-518
Irfan Abbas1,2*, Munib Ahmad2, Muhammad Imran2, Muhammad Nadeem Khan2, Zohaib Zafar Khan Niazi2, Syed Muhammad Usman Raza2, Aamir Naveed2, Zulfiqar Ali2
1Lecturer, Department of Computer Science and IT, University of Central Punjab, Natt Road, 50700, Gujrat, Pakistan
2Department of Computer Science and IT, Minhaj University Lahore, Punjab, Pakistan
Email: [email protected]
Received Date:18 April 2020, Accepted Date:20 November 2021, Published Date:19 February 2021
Objective: The main objective is to elaborate and discuss different techniques used in data mining, to analyze different strategies of data mining to make improvements, and to find more powerful mining techniques for the betterment of the business. Methods: Multiple techniques and strategies of data mining are used to improve the business. We employed the data warehouse methods for the improvements of the business using Business Intelligence (BI) and Business Analytics (BA) along with their types and instruments. We are also discussing some tools used for data mining or ordering organizational data. Findings: We employed Business Intelligence-(BI) and Business Analytics-(BA) techniques for the improvement of the business. Earlier, there were only four (Regression, Classification, Association, and Clustering) techniques that were used for business improvements. It is found that Crawler is the best tool for BI or BA data mining. Novelty : This study analyzed that, BI and BA are the best ways used for data mining, data ordering, or format of data in business. Earlier, these ways were not in use for data mining. Data mining may be the best approach to improve the business.
Keywords: Business Intelligence (BI); Business Analytics Data Mining (BADM); Data Warehouse (DW); Knowledge Discovery (KDD) Customer Relationship Management (CRM); Enterprise Resource Planning (ERP)
© 2021 Abbas et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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