000			02735cam a22003618i 4500
008			131121s2014 flu b 001 0 eng
010			_a2013045992
020			_a9781466596092
035			_a(OCoLC)880310430
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aHD38.7 _b.B865 2014
082	0	0	_a658.4/72 _223
089	0		_a658.472/14
245	0	0	_aBusiness analytics : _ban introduction / _cedited by Jay Liebowitz.
264		1	_aBoca Raton : _bTaylor & Francis, _c2014.
300			_axi, 276 p. : _bill. ; _c24 cm.
336			_atext _2rdacontent.
337			_aunmediated _2rdamedia.
338			_avolume _bnc _2rdacarrier.
504			_aIncludes bibliographical references and index.
520			_a"Preface It is plain and simple: Big Data and business analytics are hot! Whether the cover of the October 2012 Harvard Business Review, the December 2012 MIT conference on "Big Data: The Management Revolution," or the January 2013 issue of KMWorld, these emerging areas will continue to gain ground with great momentum in the coming years. According to a Cisco study, as mentioned in the January 2013 KMWorld issue, Kapil Baskhi (Chief Architect, Cisco Public Sector) states that global IP traffic will reach 1.3 zettabytes annually by 2016, which is a fourfold increase from 2011. By 2016, there will be 19 billion global network connections, the equivalent of two-and-a-half connections for every person on earth. According to Dan Vesset, Program VP for Business Analytics Solutions at IDC (in the same KMWorld issue), the Big Data market is expected to reach $16.9 billion by 2015, up from $3.2 billion in 2010. Steve Lohr's December 30, 2012 New York Times article headline indicates, "Sure, Big Data Is Great--But So Is Intuition." The point here is that with all this data coming in at various volumes, velocities, and varieties, how can we make sense of it all, especially for improving decision-making capabilities in organizations? This is where the field of business analytics can add value. Think about cybersecurity, finance, marketing, healthcare, education, energy, and many other sectors--all of these fields could benefit from applying and improving their analytics. Better detection of fraud through visual analytics and better prediction of the likelihood of someone getting an infection while in the hospital are interesting examples where analytics play a role"--
650		0	_aBusiness intelligence.
650		0	_aBig data.
700	1		_aLiebowitz, Jay, _d1957-, _eEdited by
035			_a(AuCNLKIN)000052329829
650		7	_aBusiness and economics. _2sears
650		7	_aManagement science. _2sears
005			20170126100456.0
001			57662
003			UOWD
942			_cREGULAR
999			_c24265 _d24265