000			03348nam a22003855i 4500
710	2		_aSpringerLink (Online service) _0Local _9106996
999			_c86106 _d86106 _x1
001			86106
003			ES-MaUEC
005			20240111050125.0
007			cr nn 008mamaa
008			160524s2016 gw | s |||| 0|eng d
020			_a9783319389929
040			_aES-MaUEC
050		4	_aQ342 _b.C674 2016
082	0	4	_a006.3
100	1		_999549 _aCorea, Francesco _0Local
245	1	0	_aBig Data Analytics: A Management Perspective _cby Francesco Corea
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XIII, 48 páginas) _b7 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aStudies in Big Data _x2197-6503 _v21
505	0		_aIntroduction -- What Data Science Means to the Business -- Key Data Challenges to Strategic Business Decisions -- A Chimera Called Data Scientist: Why they don�t Exist (but they will in the Future) -- Future Data Trends -- Where are we Going? The Path Toward an Artificial Intelligence -- Conclusions.
520	3		_aThis book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership � while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.
650	0	7	_aData mining _0 _2embne _9162648
650		7	_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-38992-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319389929
907			_a.b12953842 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aQ342 .C674 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11596302 _z06-04-17
988			_aEBOOK, asignarmaterias , EBSPRINGER
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0