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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.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Foreword
  5. Acknowledgements
  6. Introduction
  7. 1 From Data to Decision-Making: A Major Pathway
    1. 1.1. Background on economic intelligence
    2. 1.2. Strategic economic intelligence revisited
    3. 1.3. Conclusion
  8. 2 Data: An Indispensable Platform for Companies
    1. 2.1. The key figures of digital technology
    2. 2.2. The power of data: a major challenge
    3. 2.3. The Big Data revolution, “Mega Data”
    4. 2.4. Developing the culture of data sharing
    5. 2.5. Storage of data in databases
    6. 2.6. The appearance of buzzwords: Big, Open, Viz, etc.
    7. 2.7. Conclusion
  9. 3 From Data to Information: Essential Transformations
    1. 3.1. Value creation from data processing
    2. 3.2. Value creation and analysis of open databases
    3. 3.3. From data to information: the “DataViz” or data visualization
    4. 3.4. From data to information: statistical processing
    5. 3.5. Turning mass data into an opportunity for innovation
    6. 3.6. Development of company assets in the web of data
    7. 3.7. Conclusion
  10. 4 Information: Contextualized and Materialized Data
    1. 4.1. What is information?
    2. 4.2. Internal and external information
    3. 4.3. Formal and informal information
    4. 4.4. Importance of information
    5. 4.5. Décodex set up by Le Monde
    6. 4.6. Conclusion
  11. 5 From Information to Knowledge: Valuing and Innovating
    1. 5.1. Innovation as a driving force of growth
    2. 5.2. Knowledge: the key to innovation
    3. 5.3. Building knowledge: economic intelligence
    4. 5.4. Data mining, Statistica and Tibco
    5. 5.5. Information an economic good?
    6. 5.6. What is data science?
    7. 5.7. Conclusion
  12. 6 From Knowledge to Strategic Business Intelligence: Decision-Making
    1. 6.1. Data valuation mechanisms
    2. 6.2. How do you value data
    3. 6.3. Data governance: a key factor in valuation
    4. 6.4. EI: protection and enhancement of digital heritage
    5. 6.5. Data analysis techniques: data mining/text mining
    6. 6.6. Conclusion
  13. Conclusion
  14. Glossary
  15. References
    1. Webography
  16. Index
  17. Other titles from ISTE in Innovation, Entrepreneurship and Management
  18. End User License Agreement
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