From Big Data to Smart Data

PREFACE ix
<p>LIST OF FIGURES AND TABLES&nbsp; xiii</p>
<p>INTRODUCTION xv</p>
<p>CHAPTER 1. WHAT IS BIG DATA? 1</p>
<p>1.1. The four V s characterizing Big Data 3</p>
<p>1.1.1. V for Volume 3</p>
<p>1.1.2. V for Variety 4</p>
<p>1.1.3. V for Velocity 8</p>
<p>1.1.4. V for Value , associated with Smart Data 9</p>
<p>1.2. The technology that supports Big Data 10</p>
<p>CHAPTER 2. WHAT IS SMART DATA? 13</p>
<p>2.1. How can we define it? 13</p>
<p>2.1.1. More formal integration into business processes&nbsp;&nbsp; 13</p>
<p>2.1.2. A stronger relationship with transaction solutions&nbsp; 14</p>
<p>2.1.3. The mobility and the temporality of information&nbsp; 15</p>
<p>2.2. The structural dimension 17</p>
<p>2.2.1. The objectives of a BICC 17</p>
<p>2.3. The closed loop between Big Data and Smart Data 18</p>
<p>CHAPTER 3. ZERO LATENCY ORGANIZATION 21</p>
<p>3.1. From Big Data to Smart Data for a zero latency organization 21</p>
<p>3.2. Three types of latency 21</p>
<p>3.2.1. Latency linked to data 21</p>
<p>3.2.2. Latency linked to analytical processes 22</p>
<p>3.2.3. Latency linked to decisionmaking processes 23</p>
<p>3.2.4. Action latency 23</p>
<p>CHAPTER 4. SUMMARY BY EXAMPLE 25</p>
<p>4.1. Example 1: date/product/price recommendation 26</p>
<p>4.1.1. Steps 1 and 2 &nbsp;&nbsp; 28</p>
<p>4.1.2. Steps 3 and 4 : enter the world of Smart Data 29</p>
<p>4.1.3. Step 5 : the presentation phase&nbsp; 29</p>
<p>4.1.4. Step 6 : the Holy Grail (the purchase) 30</p>
<p>4.1.5. Step 7 : Smart Data 30</p>
<p>4.2. Example 2: yield/revenue management (rate controls)&nbsp; 31</p>
<p>4.2.1. How it works: an explanation based on the Tetris principle (see Figure 4.4) 35</p>
<p>4.3. Example 3: optimization of operational performance 38</p>
<p>4.3.1. General department (top management) 42</p>
<p>4.3.2. Operations departments (middle management) 42</p>
<p>4.3.3. Operations management (and operational players) 43</p>
<p>CONCLUSION 47</p>
<p>BIBLIOGRAPHY 51</p>
<p>GLOSSARY 53</p>
<p>INDEX&nbsp; 57</p>