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 |