Big Data, Open Data and Data Development

<p>Acknowledgements vii</p>
<p>Foreword&nbsp; ix</p>
<p>Key Concepts xi</p>
<p>Introduction xix</p>
<p>Chapter 1. The Big Data Revolution 1</p>
<p>1.1. Understanding the Big Data universe 2</p>
<p>1.2. What changes have occurred in data analysis? 8</p>
<p>1.3. From Big Data to Smart Data: making data warehouses intelligent 12</p>
<p>1.4. High–quality information extraction and the emergence of a new profession: data scientists 16</p>
<p>1.5. Conclusion 21</p>
<p>Chapter 2. Open Data: A New Challenge 23</p>
<p>2.1. Why Open Data? 23</p>
<p>2.2. A universe of open and reusable data 28</p>
<p>2.3. Open Data and the Big Data universe 33</p>
<p>2.4. Data development and reuse 38</p>
<p>2.5. Conclusion 41</p>
<p>Chapter 3. Data Development Mechanisms 43</p>
<p>3.1. How do we develop data?&nbsp; 44</p>
<p>3.2. Data governance: a key factor for data valorization&nbsp; 54</p>
<p>3.3. CI: protection and valuation of digital assets 60</p>
<p>3.4. Techniques of data analysis: data mining/text mining 65</p>
<p>3.5. Conclusion 72</p>
<p>Chapter 4. Creating Value from Data Processing 73</p>
<p>4.1. Transforming the mass of data into innovation opportunities 74</p>
<p>4.2. Creation of value and analysis of open databases 82</p>
<p>4.3. Value creation of business assets in web data 87</p>
<p>4.4. Transformation of data into information or DataViz 94</p>
<p>4.5. Conclusion 100</p>
<p>Conclusion 101</p>
<p>Bibliography 109</p>
<p>Index 121</p>