Data Mining (DM) Business Intelligence Systems and Performance of Multinational Oil and Gas Companies in South-South, Nigeria

Author(s): GONEE Tuanu Sira and DICK Aa-nu Sunday.

Abstract:
This paper surveyed Data Mining (DM) Business Intelligence Systems and Performance of Multinational Oil and Gas Companies in South-South, Nigeria. It examined how Data Mining (DM) Business Intelligence Systems enhance the Performance of Multinational Oil and Gas Companies in South-South, Nigeria. Based on the nature of the study, cross-sectional survey approach was applied to enhance effective data collection and analysis. The study population consisted of five Multinational Oil and Gas Companies operating in the six States of South-South Nigeria. The accessible respondents from each states were thirty-three, the sum of the respondents from the six states were one hundred and seventy-six (176), this constituted the elements for data analysis. Structured questionnaire was designed on a 5-point Likert scale for accurate rating of the responses from the respondents. One hundred and seventy-six (176) copies of questionnaire was distributed to the various Oil and Gas companies in South-South, Nigeria, out of which one hundred and fifty (150) copies of the questions were properly completed, these were the number of copies used for data presentation and analysis (descriptive and bivariate). The results of the correlation coefficient showed that there was a significant positive relationship between Data Mining (DM) Business Intelligence Systems and Performance of Multinational Oil and Gas Companies in South-South, Nigeria. Data Mining Business Intelligence Systems is viewed as an important tool that enhanced performance, especially in Oil and Gas Companies in South-South, Nigeria. It is therefore recommended that Multinational Oil and Gas that are desiring to improve their Performance in terms of quality service delivery and responsiveness should implement Data Mining Business Intelligence Systems in their organization.

Keywords: Data mining, Business Intelligence, Organizational performance, Quality Service delivery and Responsiveness

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