English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 76 Lessons (6h 59m) | 813 MB
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.
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.
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
Table of Contents
1 A history of data
2 An example Genetic testing and reporting
3 The beginnings of modern data
4 Modern data in the present day
5 The new and current view and value of data
6 Wrapping up
7 Summary
8 How data works today
9 The life cycle of data
10 The past is the past, but the future has not been written yet
11 On my way for the day… A Grand Day Out . .
12 Whose interests are being served by leveraging your data
13 Who are you aligned with
14 Final thoughts
15 Summary
16 You and your data
17 Current views and attitudes toward data
18 Some people don’t have the luxury of thinking about data
19 How the general population thinks about data today
20 How do you think about data today
21 Green shoots and new beginnings
22 Final thoughts
23 Summary
24 Trust
25 Trust
26 Trust in government
27 Trust in business and business leaders
28 Trust is lost; time for a change
29 Technology and media companies are making bank from your data
30 Governmental regulations
31 Effect of data laws around the globe
32 Final thoughts
33 Summary
34 Privacy
35 Privacy throughout history
36 Psychology and privacy
37 We need privacy like we need sleep
38 Privacy and secrecy
39 Two sides of privacy
40 Privacy and human behavior
41 Privacy precepts
42 Poor privacy policies
43 Enlightened privacy policies and related data protection
44 Privacy laws and regulations
45 Privacy and data ownership
46 Privacy and technology
47 Privacy and trust
48 Final thoughts
49 Summary
50 Moving from Open Data to Our Data
51 Data and analytics at dinner parties
52 Data can be used as a weapon
53 The horse is out of the barn, let’s go riding . .
54 New and modern approaches to data
55 Data exchanges
56 Data intermediaries, data pools, and data unions
57 Data commons
58 Final thoughts
59 Summary
60 Derived data, synthetic data, and analytics
61 Forms of data
62 Analytics and data
63 Augmented intelligence
64 Data scientists and statisticians
65 Final thoughts
66 Summary
67 Looking forward What’s next for our data
68 A day in the life of your data… well, actually two days
69 What’s different in 2025
70 Data intermediaries (DIs)
71 Dimensions of data access
72 What DIs will do for you
73 Dimensions of data monetization
74 So what do we do today
75 Final thoughts
76 Summary
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