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From Big Data to Smart Data.

By: Material type: TextTextPublisher: Newark : John Wiley & Sons, Incorporated, 2015Copyright date: ©2015Edition: 1st edDescription: 1 online resource (89 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119119265
Subject(s): Genre/Form: Additional physical formats: Print version:: From Big Data to Smart DataDDC classification:
  • 005.7
LOC classification:
  • QA76.9.B45I24 2015
Online resources:
Contents:
Cover -- 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 -- 1.1.4.1. 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 transaction solutions -- 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 -- 3.2.1. Latency linked to data -- 3.2.2. 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 "Smart Data" -- 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 Tetris principle (see Figure 4.4).
4.3. Example 3: optimization of operational performance -- 4.3.1. General department (top management) -- 4.3.2. Operations departments (middle management) -- 4.3.3. Operations management (and operational players) -- Conclusion -- Bibliography -- Glossary -- Index.
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Cover -- 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 -- 1.1.4.1. 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 transaction solutions -- 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 -- 3.2.1. Latency linked to data -- 3.2.2. 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 "Smart Data" -- 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 Tetris principle (see Figure 4.4).

4.3. Example 3: optimization of operational performance -- 4.3.1. General department (top management) -- 4.3.2. Operations departments (middle management) -- 4.3.3. Operations management (and operational players) -- Conclusion -- Bibliography -- Glossary -- Index.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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