Data Control

Businesses are becoming increasingly aware of the importance of data and information. As such, they are eager to develop ways to 'manage' them, to enrich them and take advantage of them. Indeed, the recent explosion of a phenomenal amount of data, and the need to analyze it, brings to the forefront the well-known hierarchical model: 'Data, Information, Knowledge'. 'Data' this new intangible manna is produced in real time. It arrives in a continuous stream and comes from a multitude of sources that are generally heterogeneous. This accumulation of data of all kinds is generating new activities designed to analyze these huge amounts of information. It is therefore necessary to adapt and try new approaches, methods, new knowledge and new ways of working. This leads to new properties and new issues as a logical reference must be created and implemented. At the company level, this mass of data is difficult to manage; interpreting it is the predominant challenge.

Businesses are becoming increasingly aware of the importance ofdata and information. As such, they are eager to develop ways tomanage them, to enrich them and take advantage of them.Indeed, the recent explosion of a phenomenal amount of dataand the need to analyze it, brings to the forefront the well-knownhierarchical model: Data, Information, Knowledge .Data this new intangible manna is produced in real time. Itarrives in a continuous stream and comes from a multitude ofsources that are generally heterogeneous. This accumulation ofdata of all kinds is generating new activities designed to analyzethese huge amounts of information. It is therefore necessary toadapt and try new approaches, methods, new knowledge andnew ways of working. This leads to new properties and newissues as a logical reference must be created and implemented. Atthe company level, this mass of data is difficult to manage;interpreting it is the predominant challenge.

Foreword ixAcknowledgements xiiiIntroduction xvChapter 1. From Data to Decision-Making: A Major Pathway 11.1. Background on economic intelligence 21.2. Strategic economic intelligence revisited 31.2.1. The three major steps for decision support 31.2.2. Modeling the concept of strategic business intelligence 41.3. Conclusion 9Chapter 2. Data: An Indispensable Platform for Companies 112.1. The key figures of digital technology 142.1.1. Figures on social networks 202.1.2. Numbers: Big Data 222.1.3. Key figures: the Internet of Things 242.2. The power of data: a major challenge 282.3. The Big Data revolution, "Mega Data" 302.3.1. Understanding the world of Big Data 312.3.2. Open data: a new challenge 412.4. Developing the culture of data sharing 552.5. Storage of data in databases 562.6. The appearance of buzzwords: Big, Open, Viz, etc. 582.7. Conclusion 59Chapter 3. From Data to Information: Essential Transformations 633.1. Value creation from data processing 633.2. Value creation and analysis of open databases 693.3. From data to information: the "DataViz" or data visualization 733.4. From data to information: statistical processing 743.4.1. Phases of data processing 753.4.2. Processing the data 753.5. Turning mass data into an opportunity for innovation 813.6. Development of company assets in the web of data 873.7. Conclusion 91Chapter 4. Information: Contextualized and Materialized Data 934.1. What is information? 944.1.1. How can we define information? 944.2. Internal and external information 1004.2.1. Internal information 1004.2.2. External information 1004.3. Formal and informal information 1004.3.1. Formal information 1004.3.2. Informal information 1014.4. Importance of information 1014.4.1. White information 1014.4.2. Gray information 1014.4.3. Black information 1014.5. Décodex set up by Le Monde 1024.6. Conclusion 103Chapter 5. From Information to Knowledge: Valuing and Innovating 1055.1. Innovation as a driving force of growth 1055.1.1. Innovation and the intangible economy 1065.2. Knowledge: the key to innovation 1085.3. Building knowledge: economic intelligence 1095.3.1. The EI process and the transition from information to knowledge 1105.3.2. Managing the data warehouse to extract knowledge and insight 1115.4. Data mining, Statistica and Tibco 1145.5. Information an economic good? 1155.5.1. Innovation as a driving force of growth 1155.5.2. Strategic business intelligence 1165.6. What is data science? 1185.7. Conclusion 119Chapter 6. From Knowledge to Strategic Business Intelligence: Decision-Making 1216.1. Data valuation mechanisms 1216.2. How do you value data? 1226.3. Data governance: a key factor in valuation 1326.4. EI: protection and enhancement of digital heritage 1386.5. Data analysis techniques: data mining/text mining 1436.6. Conclusion 148Conclusion 151Glossary 157References 159Index 173