Big data and business support: strategies and challenges

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dc.contributor.author Mogire, Obwaya
dc.contributor.author Mariga, Wambugu G.
dc.contributor.author Kimani, Charity
dc.contributor.author Wambui, Irene
dc.contributor.author Loki, Michael
dc.date.accessioned 2016-09-16T08:21:09Z
dc.date.available 2016-09-16T08:21:09Z
dc.date.issued 2015-03
dc.identifier.citation International Journal of Economics, Commerce and Management; Vol. III, Issue 3, March 2015 en_US
dc.identifier.issn 2348 0386
dc.identifier.uri http://ijecm.co.uk/wp-content/uploads/2015/03/3343.pdf
dc.identifier.uri http://repository.seku.ac.ke/handle/123456789/2659
dc.description.abstract In recent years, the world has witnessed a growth in electronic data resulting from advancement in computing technologies. Making sense out of this data has evolved from decision support, to executive support, to online analytical processing, to business intelligence, to analytics and now to big data. As a result, researchers are getting interested to study approaches, uses and challenges associated with this emergence of big data. This survey reviews the literature, on big data in aspects of strategic use, predictive analytics, visual challenges, security challenges and paralysis by analysis. The paper concludes that there is lots of data to analyse and it is perfect to get as much information, knowledge and understanding from the data but it is vital that one seriously reviews the supposed reality against the model and the model against the supposed reality. en_US
dc.language.iso en en_US
dc.publisher IJECM Pub UK en_US
dc.subject Business Analytics en_US
dc.subject Big data en_US
dc.subject Predictive analytics en_US
dc.subject Visual Analytics en_US
dc.subject Visualisation en_US
dc.title Big data and business support: strategies and challenges en_US
dc.type Article en_US


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