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    "Submissions Open For Volume 9,Issue 2,Mar.-Apr.,2018"

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    Volume 9,Issue 1,Jan. - Apr.,2018

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An Analysis of Big Data Computing for Efficiency of Business Operations among Indigenous Firms

Dr. Anthony I. Otuonye; Dr. Nwaimo E. Chilaka; Igboanusi C. Chinemerem; Chukwu E. Oluchi
This paper aims at examining the impact of the big data technology and its effect on the efficiency of business operations among indigenous firms. The research established the perception of most business entrepreneurs and IT experts who seek to join the moving trend of the big data revolution for competitive advantage. It identified the major driving factors behind the big data market in other to evaluate their collective effect on business competency within the global market. The study became necessary due to the rising need to better inform our government and corporate managers to take their rightful place in the past-paced global economy. The researchers adopted an analytical field survey and two quantitative analysis approaches: Factor Analysis and the Multiple Regression aimed at analyzing the factors of big data computing and their perceived effects on business competency. Both primary and secondary data were used in achieving our research objective, which gave enough insights into the contributing factors of big data success and business competency. Based on the findings in this paper, we recommend that corporate managers should be encouraged to take advantage of big data computing which offers new, affordable, open source, and distributed platforms (such as the Apache Hadoop), and relatively easy to deploy by all business corporations. Big data has been proved to have the capacity to deliver phenomenal computing power, and its adoption is bound to bring about improved business competency and added competitive advantage
Select Volume / Issues:
Year:
2018
Type of Publication:
Article
Keywords:
Big Data; Business Competency; Open Source; Unstructured Data; Real Time
Journal:
IJECCE
Volume:
9
Number:
1
Pages:
29-34
Month:
January
ISSN:
2249-071X
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