The Impact of Data Analytics on the Business Intelligence Technology
摘要
The main aim of this study to determine the role of data analytics in enhance administrative rates and profitability of business. The augmented version of the DeLone and McLean framework shows promise for innovation. Nonetheless, it necessitates a detailed elaboration on its implementation within the managerial tier of Business Intelligence structures. Additionally, an illustrative depiction of the framework would enhance comprehension. The proposed research model extends the DeLone and McLean model’s application from the human level to the organizational level in BI technology achievement or efficiency study at order to gather principal quantitative data from managers and IT developers at Jordanian-listed companies that rely on BI systems for different managerial levels, a cross-sectional survey is being designed, sample size 150 and the researcher use PLS to analysis the data. This paraphrase changes the structure of the original sentence and uses synonyms where appropriate, while maintaining the original meaning. It also avoids the use of personal pronouns and passive voice to keep the statement in an academic tone. A technologically advanced questioner is used toward collect crucial quantitative data from Institutions managers that focus on business intelligence structures to create functional, tactical, and strategic conclusions for the Jordanian Institutions. The main results of this research: (1)—structure excellence. (2)—Information excellence and exercise excellence are important forecasters of employer pleasure, nevertheless perceived advantage is not, according to practical data. (3)—Data value was developed to be an effective predictor of perceived advantage and employer satisfaction. (4)—The effect of the alleged value on customer satisfaction was crucial since both elements have a beneficial impact on businesses’ profitability. This study has significant value related to the report is a new effort to measure the organizational level efficiency of BI technologies outside the setting of industrialized nations. No previous study, toward the superlative of the authors’ information, has shared all the scopes considered in this study into an only model.