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A Bibliometric Analysis of the Role of Business Intelligence in Decision Making in Businesses


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1 Department of Commerce, DAV PG College, Karnal, Haryana, India
     

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With this bibliometric study, we aim to understand the impact of Business Intelligence in the Decision making in businesses. For the last 25 years, business intelligence has been an important area. It uses data analytics to generate key information to support business decision making. In the last decade, the drift of “Big data (BD)”, “Data mining”, “Information analysis”, “competitive analysis”, “data warehouse”, “knowledge management”, “artificial intelligence” has developed and grow into a core part of Business Intelligence systems. Bibliometric techniques are used in this study to examine publications from 1997 to 2022 in Conference papers and Articles journals in Business and Management areas from Web of Science and Scopus sources. Within this study, we have collected databases of Web of Science and Scopus. First, we merged the both database and then cleaned and analysis of results are obtained. The key research concentration is mainly to consider the exceedingly researched topics in this field of effect of Business Intelligence (BI) and Decision making in businesses. Unlike the previous survey, the research methodology used in this study is an amalgamation of bibliometric and thematic analysis, which assisted recognition in generating a comprehensive summary of the researched field.

Keywords

business intelligence, decision making, big data, data mining, business analytics, information analysis.
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  • A Bibliometric Analysis of the Role of Business Intelligence in Decision Making in Businesses

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Authors

Anamika
Department of Commerce, DAV PG College, Karnal, Haryana, India

Abstract


With this bibliometric study, we aim to understand the impact of Business Intelligence in the Decision making in businesses. For the last 25 years, business intelligence has been an important area. It uses data analytics to generate key information to support business decision making. In the last decade, the drift of “Big data (BD)”, “Data mining”, “Information analysis”, “competitive analysis”, “data warehouse”, “knowledge management”, “artificial intelligence” has developed and grow into a core part of Business Intelligence systems. Bibliometric techniques are used in this study to examine publications from 1997 to 2022 in Conference papers and Articles journals in Business and Management areas from Web of Science and Scopus sources. Within this study, we have collected databases of Web of Science and Scopus. First, we merged the both database and then cleaned and analysis of results are obtained. The key research concentration is mainly to consider the exceedingly researched topics in this field of effect of Business Intelligence (BI) and Decision making in businesses. Unlike the previous survey, the research methodology used in this study is an amalgamation of bibliometric and thematic analysis, which assisted recognition in generating a comprehensive summary of the researched field.

Keywords


business intelligence, decision making, big data, data mining, business analytics, information analysis.