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November Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the November 2021 Edition of the journal. The last date of research paper submission is October 15, 2021.

Enterprise Big Data: Case Study of Issues and Challenges for Businesses in Finance and Retail Sectors

Ehiwe Dunsen Dominic, Akinola Kayode E., Ominike Akpovi A.. Published in Information Science

International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Ehiwe Dunsen Dominic, Akinola Kayode E., Ominike Akpovi A.
10.5120/ijais2016451596
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  1. Ehiwe Dunsen Dominic, Akinola Kayode E. and Ominike Akpovi A.. Enterprise Big Data: Case Study of Issues and Challenges for Businesses in Finance and Retail Sectors. International Journal of Applied Information Systems 11(4):9-20, September 2016. URL, DOI BibTeX

    @article{10.5120/ijais2016451596,
    	author = "Ehiwe Dunsen Dominic and Akinola Kayode E. and Ominike Akpovi A.",
    	title = "Enterprise Big Data: Case Study of Issues and Challenges for Businesses in Finance and Retail Sectors",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "September 2016",
    	volume = 11,
    	number = 4,
    	month = "Sep",
    	year = 2016,
    	issn = "2249-0868",
    	pages = "9-20",
    	numpages = 12,
    	url = "http://www.ijais.org/archives/volume11/number4/933-2016451596",
    	doi = "10.5120/ijais2016451596",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

Big data is the most common term used to describe the exponential rise and data availability, both structured and unstructured. Big data can be very important to business as the internet has become. Why? Accurate analyses can be derived from more data volume which in turn helps in making decisions confidently. And better decisions can mean greater efficiencies in operations, reduction of cost and low risk rate. Analysis of Enterprise Big Data to derive business value has become top priority for the majority of modern businesses and organizations. To most organizations, these are data that comes from online transactions, videos, audios, images, social networking interactions, science data, sensors and mobile phones and their applications etc. Stored in databases, they keep growing massively and becoming increasingly difficult to capture, store, manage, share, analyze and visualize via the use of typical database software tools. The study was conducted to analyze enterprise Big Data: Issues & Challenges for businesses in finance and retail sectors. To extract response for the study, the research design adopted was the survey method using questionnaire as the instrument for data collection. The questionnaires were administered to different categories of people in business enterprises. The results from the analysis consistently suggest that growing data set impacts over 80% of surveyed businesses.

Reference

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Keywords

Big Data, Databases, Enterprises, Challenges, Analytics, Organization, Business