Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/2659
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dc.contributor.authorMogire, Obwaya-
dc.contributor.authorMariga, Wambugu G.-
dc.contributor.authorKimani, Charity-
dc.contributor.authorWambui, Irene-
dc.contributor.authorLoki, Michael-
dc.date.accessioned2016-09-16T08:21:09Z-
dc.date.available2016-09-16T08:21:09Z-
dc.date.issued2015-03-
dc.identifier.citationInternational Journal of Economics, Commerce and Management; Vol. III, Issue 3, March 2015en_US
dc.identifier.issn2348 0386-
dc.identifier.urihttp://ijecm.co.uk/wp-content/uploads/2015/03/3343.pdf-
dc.identifier.urihttp://repository.seku.ac.ke/handle/123456789/2659-
dc.description.abstractIn 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.isoenen_US
dc.publisherIJECM Pub UKen_US
dc.subjectBusiness Analyticsen_US
dc.subjectBig dataen_US
dc.subjectPredictive analyticsen_US
dc.subjectVisual Analyticsen_US
dc.subjectVisualisationen_US
dc.titleBig data and business support: strategies and challengesen_US
dc.typeArticleen_US
Appears in Collections:School of Science and Computing (JA)

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