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E-raamat: From Big Data to Smart Data [Wiley Online]

(Disneyland Paris, France)
  • Formaat: 88 pages
  • Ilmumisaeg: 15-Apr-2015
  • Kirjastus: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 111911618X
  • ISBN-13: 9781119116189
Teised raamatud teemal:
  • Wiley Online
  • Hind: 174,45 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
From Big Data to Smart DataSuurem pilt
  • Formaat: 88 pages
  • Ilmumisaeg: 15-Apr-2015
  • Kirjastus: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 111911618X
  • ISBN-13: 9781119116189
Teised raamatud teemal:
Wiley Online e-raamatudRohkem infot Wiley Online kohta
Raamatu kodulehekülg: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119116189

A 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 enterprise vision of performance monitoring and optimization.

Preface ix
List of Figures and Tables
xiii
Introduction xv
Chapter 1 What is Big Data?
1(12)
1.1 The four "V"s characterizing Big Data
3(7)
1.1.1 V for "Volume"
3(1)
1.1.2 V for "Variety"
4(4)
1.1.3 V for "Velocity"
8(1)
1.1.4 V for "Value", associated with Smart Data
9(1)
1.2 The technology that supports Big Data
10(3)
Chapter 2 What is Smart Data?
13(8)
2.1 How can we define it?
13(4)
2.1.1 More formal integration into business processes
13(1)
2.1.2 A stronger relationship with transaction solutions
14(1)
2.1.3 The mobility and the temporality of information
15(2)
2.2 The structural dimension
17(1)
2.2.1 The objectives of a BICC
17(1)
2.3 The closed loop between Big Data and Smart Data
18(3)
Chapter 3 Zero Latency Organization
21(4)
3.1 From Big Data to Smart Data for a zero latency organization
21(1)
3.2 Three types of latency
21(4)
3.2.1 Latency linked to data
21(1)
3.2.2 Latency linked to analytical processes
22(1)
3.2.3 Latency linked to decision-making processes
23(1)
3.2.4 Action latency
23(2)
Chapter 4 Summary by Example
25(22)
4.1 Example 1: date/product/price recommendation
26(5)
4.1.1 Steps "1" and "2"
28(1)
4.1.2 Steps "3" and "4": enter the world of "Smart Data"
29(1)
4.1.3 Step "5": the presentation phase
29(1)
4.1.4 Step "6": the "Holy Grail" (the purchase)
30(1)
4.1.5 Step "7": Smart Data
30(1)
4.2 Example 2: yield/revenue management (rate controls)
31(7)
4.2.1 How it works: an explanation based on the Tetris principle (see Figure 4.4)
35(3)
4.3 Example 3: optimization of operational performance
38(9)
4.3.1 General department (top management)
42(1)
4.3.2 Operations departments (middle management)
42(1)
4.3.3 Operations management (and operational players)
43(4)
Conclusion 47(4)
Bibliography 51(2)
Glossary 53(4)
Index 57
Fernando Iafrate, Senior Manager Business Intelligence & Data Architecture for Disneyland Paris, France.
Püsilink: https://www.kriso.ee/db/9781119116189_pe.html
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