Do you know what happens to your personal data when you are browsing, buying, or using apps? Discover how your data is harvested and exploited, and what you can do to access, delete, and monetize it.
Data for All empowers everyone—from tech experts to the general public—to control how third parties use personal data.
Read this eye-opening book to learn:
• The types of data you generate with every action, every day
• Where your data is stored, who controls it, and how much money they make from it
• How you can manage access and monetization of your own data
• Restricting data access to only companies and organizations you want to support
• The history of how we think about data, and why that is changing
• The new data ecosystem being built right now for your benefit
The data you generate every day is the lifeblood of many large companies—and they make billions of dollars using it. In Data for All, bestselling author John K. Thompson outlines how this one-sided data economy is about to undergo a dramatic change. Thompson pulls back the curtain to reveal the true nature of data ownership, and how you can turn your data from a revenue stream for companies into a financial asset for your benefit.
About the technology
Do you know what happens to your personal data when you’re browsing and buying? New global laws are turning the tide on companies who make billions from your clicks, searches, and likes. This eye-opening book provides an inspiring vision of how you can take back control of the data you generate every day.
About the book
Data for All gives you a step-by-step plan to transform your relationship with data and start earning a “data dividend”—hundreds or thousands of dollars paid out simply for your online activities. You’ll learn how to oversee who accesses your data, how much different types of data are worth, and how to keep private details private.
What's inside
• The types of data you generate with every action, every day
• How you can manage access and monetization of your own data
• The history of how we think about data, and why that is changing
• The new data ecosystem being built right now for your benefit
About the reader
For anyone who is curious or concerned about how their data is used. No technical knowledge required.
About the author
John K. Thompson is an international technology executive with over 37 years of experience in the fields of data, advanced analytics, and artificial intelligence.
Author(s): John K. Thompson
Edition: 1
Publisher: Manning
Year: 2023
Language: English
Commentary: Publisher's PDF
Pages: 192
City: Shelter Island, NY
Tags: Analytics; Information Security; Privacy; Monetization; Data Processing; Synthetic Data; Regulations; Data Harvesting
Data for All
brief contents
contents
foreword
preface
acknowledgments
about this book
liveBook discussion forum
about the author
about the cover illustration
Chapter 1: A history of data
1.1 A concerning situation
1.1.1 Life cycle of a video, picture, text, email, or file
1.1.2 All your online actions create permanent records of your activity
1.1.3 Intelligent choices
1.2 An example: Genetic testing and reporting
1.2.1 Genetic sequencing
1.3 The beginnings of modern data
1.3.1 Commercial data and analytics: Data as a valuable commodity
1.3.2 How our data rights and right to compensation were diverted
1.3.3 Let’s jump forward to the late 20th century . . . in the UK
1.4 Modern data in the present day
1.4.1 The dangers of social media
1.4.2 People are waking up to the abuse of our data
1.4.3 And here we find ourselves
1.5 The new and current view and value of data
1.5.1 Data is the new sand
1.5.2 Data is the new sun
1.5.3 Data is the new gold
1.5.4 Data is the new currency
1.5.5 Data is the new plastic
1.5.6 Data is the new bacon
1.5.7 Data is the new future
1.6 Wrapping up
Chapter 2: How data works today
2.1 Where does data originate?
2.2 The life cycle of data
2.2.1 Location services
2.2.2 Do you like being tracked and monitored?
2.3 The past is the past, but the future has not been written yet
2.4 On my way for the day . . . A Grand Day Out . . .
2.4.1 Your working day: Do you know who is watching you?
2.4.2 Browsing data: What are you looking at?
2.4.3 Tangential interests vs. core interests
2.4.4 Infrequent or episodic transactions
2.4.5 Small repetitive transactions
2.4.6 Data and the power of multiple data sources
2.4.7 Fresh or stale, just like bread
2.4.8 But day-old bread has its uses too
2.5 Whose interests are being served by leveraging your data?
2.5.1 This can only continue if we allow it
2.5.2 Is it really possible to exit platforms?
2.5.3 Is it worth what you and we are paying?
2.5.4 Why is the online world different than the offline world?
2.6 Who are you aligned with?
2.6.1 What is in our best interests?
2.6.2 Many paths to liberation: Beginning to control your data. Detoxing your data
2.7 Final thoughts
Chapter 3: You and your data
3.1 Origins of the internet and World Wide Web
3.2 Current views and attitudes toward data
3.3 Some people don’t have the luxury of thinking about data
3.3.1 People who live in poverty
3.3.2 People who are living at subsistence levels
3.3.3 Reducing poverty and why it matters
3.4 How the general population thinks about data today
3.5 How do you think about data today?
3.5.1 You own your data
3.5.2 Think about how your data is being treated
3.5.3 Think about your children
3.5.4 Worldwide data creation
3.5.5 Thinking about how to manage your data
3.5.6 Reaping a monetary reward from companies using your data
3.5.7 Carrot and stick
3.6 Green shoots and new beginnings
3.7 Final thoughts
Chapter 4: Trust
4.1 Forces that are working against our best interests
4.2 Trust
4.2.1 Infotainment is not news, and alternative facts do not exist
4.2.2 Citizenship and our duty to the objective truth
4.3 Trust in government
4.4 Trust in business and business leaders
4.4.1 Trust in technology companies
4.4.2 Why do people feel they need to be connected to technology?
4.4.3 Trust in media companies
4.5 Trust is lost; time for a change
4.6 Technology and media companies are making bank from your data
4.6.1 What is the value of data, and how much can it mean to each individual?
4.7 Governmental regulations
4.7.1 The European Union
4.7.2 Australia
4.7.3 The United States
4.8 Effect of data laws around the globe
4.9 Final thoughts
Chapter 5: Privacy
5.1 Privacy defined
5.2 Privacy throughout history
5.2.1 The internet has not eliminated privacy
5.2.2 Privacy crosses sociology, psychology, and basic human conditions
5.2.3 The need for privacy compared to the right of privacy
5.3 Psychology and privacy
5.4 We need privacy like we need sleep
5.5 Privacy and secrecy
5.6 Two sides of privacy
5.7 Privacy and human behavior
5.8 Privacy precepts
5.9 Poor privacy policies
5.10 Enlightened privacy policies and related data protection
5.11 Privacy laws and regulations
5.12 Privacy and data ownership
5.13 Privacy and technology
5.14 Privacy and trust
5.15 Final thoughts
Chapter 6: Moving from Open Data to Our Data
6.1 Data from many sources drives value
6.2 Data and analytics at dinner parties
6.3 Data can be used as a weapon
6.4 The horse is out of the barn, let’s go riding . . .
6.5 New and modern approaches to data
6.5.1 Open Data defined
6.5.2 Open Data’s beginnings
6.5.3 Open Data today
6.5.4 Governmental Open Data policies
6.5.5 Open Data: US federal and state governments
6.6 Data exchanges
6.6.1 Types of data exchanges
6.7 Data intermediaries, data pools, and data unions
6.8 Data commons
6.9 Final thoughts
Chapter 7: Derived data, synthetic data, and analytics
7.1 Data lineage
7.2 Forms of data
7.2.1 Natural or raw data
7.2.2 Aggregated data
7.2.3 Derived data
7.2.4 Synthetic data
7.2.5 Simulated data
7.2.6 Optimization data
7.2.7 Machine-generated data, Internet of Things data
7.3 Analytics and data
7.3.1 Analytics continuum
7.3.2 Stage 0: Descriptive statistics
7.3.3 Stage 1: Predictive analytics
7.3.4 Stage 2: Prescriptive analytics
7.3.5 Stage 3: Simulation
7.3.6 Stage 4: Optimization
7.4 Augmented intelligence
7.5 Data scientists and statisticians
7.6 Final thoughts
Chapter 8: Looking for ward: What’s next for our data?
8.1 Where do we go from here?
8.1.1 National and state laws will lead and guide the changes
8.1.2 The new data ecosystem will create and realign flows of money
8.1.3 Innovation and change will create friction and opportunity
8.1.4 It may be hard to see, but change is well underway
8.2 A day in the life of your data . . . well, actually two days
8.2.1 Data you create each day will not change
8.2.2 All the data we create in our daily lives: An example
8.2.3 New data streams from our roads and cars
8.3 What’s different in 2025?
8.4 Data intermediaries (DIs)
8.4.1 Creation of DIs
8.4.2 A new regulatory environment for data
8.4.3 Managing your data in 2025
8.5 Dimensions of data access
8.6 What DIs will do for you
8.6.1 Setting revenue maximization as your primary objective
8.6.2 Many objectives
8.6.3 Setting multiple objectives
8.7 Dimensions of data monetization
8.7.1 How much money will your data dividend be?
8.7.2 Data ownership and licensing
8.7.3 Beyond the cash, what is the value to you?
8.8 So what do we do today?
8.9 Final thoughts
index
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