000			02855cam a2200469 i 4500
001			ocn859253329
003			OCoLC
005			20251028093314.0
008			130930s2014 maua b 001 0 eng
010			_a 2013039005
035			_a(Sirsi) i9781422168165
040			_aDLC _erda _beng _cDLC _dIG# _dOCLCO _dBDX _dYDXCP _dBTCTA _dWIM _dDEBBG _dQBX _dVP@ _dVLR _dLMR _dLTSCA _dVF$
019			_a854612635 _a854612754
020			_a9781422168165 (hbk.)
020			_a1422168166
035			_a(OCoLC)859253329 _z(OCoLC)854612635 _z(OCoLC)854612754
050	0	0	_aHD 38.7 .D379 2014
049			_aVF$A
100	1		_aDavenport, Thomas H., _d1954-
245	1	0	_aBig data @ work : _bdispelling the myths, uncovering the opportunities / _cThomas H. Davenport.
246	3		_aBig data at work
264		1	_aBoston, Massachusetts : _bHarvard Business Review Press, _c[2014]
300			_aix, 228 pages : _billustrations ; _c25 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0	0	_tWhy Big Data is important to you and your organization -- _tHow Big Data will change your job, your company and your industry -- _tDeveloping a big data strategy -- _tThe human side of Big Data -- _tTechnology for Big Data -- _tWhat it takes to succeed with Big Data -- _tWhat you can learn from start-ups and online firms -- _tWhat you can learn from large companies: Big Data and analytics 3.0.
520			_a"When the term 'big data' first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means--and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold."--book jacket.
650		0	_aBusiness intelligence _xData processing.
650		0	_aBig data.
650		0	_aBusiness planning _xStatistical methods.
650		0	_aData mining.
650	0	7	_aBusiness Intelligence. _0(DE-588)4588307-5 _2gnd
650	0	7	_aData Mining. _0(DE-588)4428654-5 _2gnd
650	0	7	_aMassendaten. _0(DE-588)4802620-7 _2gnd
650	0	7	_aUnternehmensplanung. _0(DE-588)4078609-2 _2gnd
856	4	1	_uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027200111&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA _zInhaltsverzeichnis
856	4	2	_uhttp://swbplus.bsz-bw.de/bsz399601651inh.htm _3Inhaltsverzeichnis
994			_aC0 _bVF$
999			_c133746 _d133746