DATA ANALYSIS AND ETL TOOLS IN BUSINESS INTELLIGENCE
Author(s) -
S. Geetha,
Keval Rajesh Dhanani,
Param Pankaj Doshi
Publication year - 2020
Publication title -
international research journal of computer science
Language(s) - English
Resource type - Journals
ISSN - 2393-9842
DOI - 10.26562/irjcs.2020.v0705.007
Subject(s) - business intelligence , computer science , data warehouse , online analytical processing , data science , database
Business intelligence (BI) is a collection of software and services to convert facts into actionable observations. These observations can impact strategic and tactical business decisions of an enterprise. BI can provide users with exhaustive intelligence about the state of the business with the assistance of tools which can access and scrutinize data sets and deliver pinpointing findings in reports and summaries etc. The technology has considerably advanced in the area of information systems through the evolvement of DSS (Decision Support Systems) to EIS (Executive Information Systems) to Business Intelligence systems. ETL (Extract, Transform, and Load) is a procedure of pulling out data from various data sources and processing them according to business calculations and transferring the reformed data into a data warehouse. ETL function lies at the core of Business Intelligence systems because of the in-depth analytics data it provides. Enterprises can gain past, current, and projecting views of real business data with ETL.
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