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Big Data Analytics; Data-drived Decision Making for Enhanced Enterprise Performance
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| dc.contributor.author | Kiprono, Benjamin | |
| dc.date.accessioned | 2019-07-08T09:22:47Z | |
| dc.date.available | 2019-07-08T09:22:47Z | |
| dc.date.issued | 2017-09-01 | |
| dc.identifier.citation | Intel, "Big data policy position paper," 2012. [2] Oracle, "Oracle: Big Data for the Enterprise," Oracle, Redwood, White Paper 2013. [3] IMB, Information Governance principles and practices for a big data landscape, First edition [4] MCKINSEY, "Big Data: The Next Frontier For Innovation, Competition and Creativity," MCKINSEY Global Institute, New York, 2011. [5] Paul Zikopoulos, Chris Eaton, Diroos Dirk, Tom Deutsch, and George Lapis, Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data, 1st ed., Steve Sit, Ed. New York, United States: MCGRAW-HILL, 2012. [6] Marc J. Schniederjans, Dara G. Schniederjans, and Christopher M. Starkey, Business Analytics Principles, Concepts and Applications, 1st ed., Gill Editorial Services, Ed. New Jersey, Upper Saddle River: Pearson Education, Inc., 2014. [7] Viewpointe, "dark data, big data, your data: Creating an action plan for information governance," United states, 2013. [8] KPMG, "Big data top challenges," KPMG LLP, Delaware, 2015. [9] David Loshin, "Addressing five emerging challenges of big data," www.progress.com, white paper N.D. [10] www.teradata.com, "The future of Big Data," www.teradata.com/bigdata, extracted on 17/11/10 2016. [11] Kevin Patel, "Taking a Peek into the Future of Big Data," www.insidebigdata.com, November 2016. [12] Bernard Marr, "Will 'Analytics On The Edge' Be The Future Of Big Data?," Forbes.com, no. Extracted online on 17/11/2016, August 2016. [13] IBM, "Business analytics for banking: 3 ways to win," Ottawa, 2010. [14] Gartner, "A step-by-Step Approach to Successful Business Intelligence," 2011. | en_US |
| dc.identifier.uri | http://erepository.kafuco.ac.ke/123456789/28 | |
| dc.description.abstract | The demand for data driven decision making has consistently grown over the last couple of years. Driven by the desire to compete effectively in a business environment that is ever dynamic; where predicting the behavior of customers and their demand patterns is critical to an enterprise’s performance; the dependence on data to provide this information to firms has inherently grown. A key driver for this has been the growth in the volumes of data gathered by firms as well as an increasing acquisition of computer based information systems within organizations. Issues still arise on the slow uptake of these descriptive analytic tools as only a few organizations globally have fully implemented data analytics systems and tools. This paper therefore presents a case for big data analytics for firms. We first analyze the benefits and trends in big data and data analytics and later present a case on why big data analytics is the technology for the future | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Academic Insights | en_US |
| dc.relation.ispartofseries | ;Vol. 1 | |
| dc.subject | Data analytics; big data; predictive analytics; data mining; knowledge discovery | en_US |
| dc.title | Big Data Analytics; Data-drived Decision Making for Enhanced Enterprise Performance | en_US |
| dc.type | Preprint | en_US |
