Introduction

Business intelligence (BI) is related to insights extracted from the information of companies and marketing, based on which, a strategic decision-making process is implemented for firm development and marketing enhancements. It is estimated that BI-related industries occupy the largest share of global business investments pertaining to information technology (IT). Predictive analysis is one of the most significant processes of BI performing. It aims to support managers to make reasonable decisions by predicting future development trends based on historical data. Analytic tools and technologies are widely developed for expectation forecasting and business strategy simulation, where statistical modeling, mathematical calculation, result simulation, and finding visualization are included.

With more and more data from the company's internal and external platforms, big data analysis has become the method with the most potential for BI insight extraction. In particular, with the advanced technology of artificial intelligence (AI) showing significant advantages of high efficiency, high accuracy, time-saving and resource saving, the intensity of BI prediction analysis has been significantly enhanced. Open-source analytics tools based on deep learning and machine learning are accessible and widely applied to the business decision-making processes, such as the tools of Microsoft Power BI, Google Analytics, SETLBI and the accessible models of GitHub Repositories.

Scientometrics is a quantitative analytic subject for academic literature analysis. It plays a vital role in research evaluation and disciplinary insight exploration. It is responsible for the identification of core journals, authors, institutions, countries, citations, topics, and historical trends, as well as future development forecasting. CiteSpace is one of the most popular tools for scientometrics study. It presents a great performance on historic developing trend exploration, hotspot mapping, social network visualization, and analysis index calculation.

This study delivers a bibliographic study by utilizing a citation exploration tool of CiteSpace on 681 non-duplicate citations from WoSCC and Scopus, where 364 and 350 original publications are involved from WoSCC and Scopus respectively. The most academic influential countries, institutions, authors, and citations are recognized. Core journals, hotspot matric, developing trends, and disciplinaries are discussed. The structure of this study is organized as the following. Section 2 is related to the methodology this article employed, results and discussion is presented in Section 3. A conclusion is involved in Section 4.

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