000 06015cam a2200877 i 4500
001 ocn904281129
003 OCoLC
005 20240523125538.0
006 m o d
007 cr cnu|||unuuu
008 150303s2015 enka ob 001 0 eng d
040 _aN$T
_beng
_erda
_epn
_cN$T
_dN$T
_dDG1
_dIDEBK
_dCDX
_dYDXCP
_dOCLCF
_dEBLCP
_dUMI
_dDEBSZ
_dOCLCQ
_dDEBBG
_dDG1
_dLIP
_dVT2
_dOCLCQ
_dCEF
_dAU@
_dU3W
_dOCLCQ
_dUAB
_dOCLCQ
_dUKMGB
_dOCLCO
_dOCLCQ
_dNNQ
_dIEEEE
_dOCLCQ
_dOCLCO
_dOCLCL
_dOCLCQ
015 _aGBC080610
_2bnb
016 7 _a019822955
_2Uk
019 _a930868390
_a992927284
_a999521845
_a1008941423
_a1371447549
020 _a9781119119265
_q(electronic bk.)
020 _a111911926X
_q(electronic bk.)
020 _a9781119116189
_q(electronic bk.)
020 _a111911618X
_q(electronic bk.)
020 _a1848217552
020 _a9781848217553
020 _a9781119119258
020 _a1119119251
024 7 _a10.1002/9781119116189
_2doi
029 1 _aAU@
_b000061136592
029 1 _aCHBIS
_b010442457
029 1 _aCHNEW
_b000944058
029 1 _aCHVBK
_b480242887
029 1 _aDEBBG
_bBV042991387
029 1 _aDEBBG
_bBV043397576
029 1 _aDEBBG
_bBV043968085
029 1 _aDEBSZ
_b453329179
029 1 _aDEBSZ
_b485785714
029 1 _aGBVCP
_b882746901
029 1 _aNZ1
_b16078507
029 1 _aUKMGB
_b019822955
035 _a(OCoLC)904281129
_z(OCoLC)930868390
_z(OCoLC)992927284
_z(OCoLC)999521845
_z(OCoLC)1008941423
_z(OCoLC)1371447549
037 _aCL0500000679
_bSafari Books Online
037 _a10066953
_bIEEE
050 4 _aQA76.9.B45
072 7 _aCOM
_x021000
_2bisacsh
082 0 4 _a005.7
_223
049 _aMAIN
100 1 _aIafrate, Fernando,
_eauthor.
245 1 0 _aFrom big data to smart data /
_cFernando Iafrate,
264 1 _aLondon :
_bJohn Wiley and Sons, Inc.,
_c2015.
300 _a1 online resource :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aAdvances in information systems set ;
_vvolume 1
504 _aIncludes bibliographical references and index.
588 0 _aOnline resource; title from PDF title page (EBSCO, viewed March 6, 2015).
505 0 _aCover; Title Page; Copyright; Contents; Preface; List of Figures and Tables; Introduction; I.1. Objectives; I.2. Observation; I.2.1. Before 2000 (largely speaking, before e-commerce); I.2.2. Between 2000 and 2010 (the boom of e-commerce, then the advent of social networks); I.2.3. Since 2010 (mobility and real-time become keywords); I.2.4. And then ... (connected objects ...); I.3. In sum; 1: What is Big Data?; 1.1. The four "V"s characterizing Big Data; 1.1.1. V for "Volume"; 1.1.2. V for "Variety"; 1.1.3. V for "Velocity"; 1.1.4. V for "Value", associated with Smart Data.
505 8 _a1.1.4.1. What value can be taken from Big Data?1.2. The technology that supports Big Data; 2: What is Smart Data?; 2.1. How can we define it?; 2.1.1. More formal integration into business processes; 2.1.2. A stronger relationship with transactionsolutions; 2.1.3. The mobility and the temporality of information; 2.1.3.1. The automation of analysis; 2.2. The structural dimension; 2.2.1. The objectives of a BICC; 2.3. The closed loop between Big Data and Smart Data; 3: Zero Latency Organization; 3.1. From Big Data to Smart Data for a zero latency organization; 3.2. Three types of latency.
505 8 _a3.2.1. Latency linked to data3.2.2. Latency linked to analytical processes; 3.2.3. Latency linked to decision-making processes; 3.2.4. Action latency; 4: Summary by Example; 4.1. Example 1: date/product/price recommendation; 4.1.1. Steps "1" and "2"; 4.1.2. Steps "3" and "4": enter the world of "SmartData"; 4.1.3. Step "5": the presentation phase; 4.1.4. Step "6": the "Holy Grail" (the purchase); 4.1.5. Step "7": Smart Data; 4.2. Example 2: yield/revenue management (rate controls); 4.2.1. How it works: an explanation based on the Tetrisprinciple (see Figure 4.4).
505 8 _a4.3. Example 3: optimization of operational performance4.3.1. General department (top management) ; 4.3.2. Operations departments (middle management); 4.3.3. Operations management (and operationalplayers); Conclusion; Bibliography; Glossary; Index.
520 _aA pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today's decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by the "digitalization" of our world modifies radically our relationship to the space (in motion) and time, dimension and by capillarity, the enterpr.
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aBig data.
650 6 _aDonn�ees volumineuses.
650 7 _aCOMPUTERS
_xDatabase Management
_xGeneral.
_2bisacsh
650 7 _aBig data
_2fast
758 _ihas work:
_aFrom big data to smart data (Text)
_1https://id.oclc.org/worldcat/entity/E39PCG64c3pyfdpMdfX6c3G4dP
_4https://id.oclc.org/worldcat/ontology/hasWork
776 0 8 _iPrint version:
_aIafrate, Fernando.
_tFrom big data to smart data.
_dLondon, UK : ISTE Wiley, Wiley, 2015
_z9781848217553
_w(OCoLC)909815509
830 0 _aAdvances in information systems set ;
_vv. 1.
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119116189
938 _aCoutts Information Services
_bCOUT
_n31064551
938 _aProQuest Ebook Central
_bEBLB
_nEBL4041046
938 _aEBSCOhost
_bEBSC
_n960202
938 _aProQuest MyiLibrary Digital eBook Collection
_bIDEB
_ncis31064551
938 _aYBP Library Services
_bYANK
_n12321699
938 _aYBP Library Services
_bYANK
_n12678207
938 _aYBP Library Services
_bYANK
_n12324193
994 _a92
_bINLUM
999 _c12172
_d12172