Dark Data Why What You Don’t Know Matters 1st edition by David Hand ISBN 069118237X 978-0691182377

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ISBN 10: 069118237X

ISBN 13: 978-0691182377

Author:  David Hand

A practical guide to making good decisions in a world of missing data

In the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. Just as much of the universe is composed of dark matter, invisible to us but nonetheless present, the universe of information is full of dark data that we overlook at our peril. In Dark Data, data expert David Hand takes us on a fascinating and enlightening journey into the world of the data we don’t see.

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them. In doing so, he teaches us not only to be alert to the problems presented by the things we don’t know, but also shows how dark data can be used to our advantage, leading to greater understanding and better decisions.

Today, we all make decisions using data. Dark Data shows us all how to reduce the risk of making bad ones.

Dark Data Why What You Don’t Know Matters 1st Table of contents: 

Preface

• Introduction to Dark Data
• The Importance of Unused Data
• The Role of Dark Data in the Modern World

Chapter 1: What is Dark Data?

• Defining Dark Data
• The Types of Data We Collect but Don’t Use
• Understanding the Hidden Value of Dark Data
• Examples from Various Industries

Chapter 2: The Hidden Costs of Not Using Data

• Wasted Opportunities and Lost Potential
• The Risks of Ignoring Dark Data
• Economic and Operational Impacts
• Case Studies: Organizations That Failed to Leverage Their Data

Chapter 3: The Evolution of Data Collection

• From Raw Data to Big Data
• How Data Collection Has Changed Over Time
• The Explosion of Data in the Digital Age
• The Limits of Traditional Data Management

Chapter 4: Why Data Gets Left in the Dark

• Challenges in Data Storage and Access
• The Problem of Data Silos
• Technical and Organizational Barriers
• Privacy, Security, and Ethical Considerations

Chapter 5: The Science of Data Analysis

• Techniques for Making Sense of Data
• Data Mining, Machine Learning, and AI
• How to Unlock Insights from Hidden Data
• Statistical Challenges and Methods for Analyzing Dark Data

Chapter 6: The Business Implications of Dark Data

• Competitive Advantage Through Data
• The Potential for Data-Driven Decision Making
• How Companies Are Using Dark Data to Innovate
• Leveraging Dark Data for Strategic Advantage

Chapter 7: Harnessing Dark Data for Innovation

• Real-World Applications and Case Studies
• Using Dark Data for Product Development and Market Research
• Enhancing Customer Experience with Dark Data
• Improving Operational Efficiency

Chapter 8: Managing and Unlocking the Potential of Dark Data

• Building a Framework for Data Use
• Overcoming Data Access and Storage Challenges
• Best Practices for Integrating Dark Data into Business Operations
• Tools and Technologies for Dark Data Discovery and Analysis

Chapter 9: Ethical Considerations in Using Dark Data

• Privacy Concerns and Data Governance
• The Ethics of Unused Data
• Legal Implications of Analyzing Dark Data
• Transparency and Accountability in Data Practices

Chapter 10: The Future of Dark Data

• The Growing Importance of Data in Society
• Trends in Data Analysis and Management
• What the Future Holds for Dark Data
• Preparing for a Data-Driven Future

Appendices

• A: Glossary of Key Terms
• B: Additional Resources for Data Analysis and Management
• C: Further Reading on Data Science and Big Data

Index

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David Hand,Dark Data,Know Matters