[PDF.31dy] Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods (Business in the Digital Economy)
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Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods (Business in the Digital Economy)
S. Finlay
[PDF.yc85] Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods (Business in the Digital Economy)
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| #1042183 in Books | imusti | 2014-07-01 | 2014-07-29 | Original language:English | PDF # 1 | 8.81 x.86 x5.56l,.0 | File type: PDF | 260 pages | Palgrave MacMillan||0 of 1 people found the following review helpful.| Sound and clear but boring|By JohnVidale|Focused on business applications. Instructive, but unfortunately that also means repetitive and boring. Frankly, I think the author should have stayed on the data analytics, where he is providing a good primer on the underlying math and the way the analytics often do or don't work. He ventures too often into organizational structure,|||'A welcome addition to the literature on data driven decision making. Finlay's book gives a commendably non-technical discussion of the business issues associated with embedding analytics into an organisation and how data, big and small, can be used to suppor
This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
You can specify the type of files you want, for your device.Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods (Business in the Digital Economy) | S. Finlay. Just read it with an open mind because none of us really know.
