Data for all

Data for all

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 tru...

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Detalles Bibliográficos
Otros Autores: Thompson, John K. (Business intelligence consultant), author (author), Davenport, Thomas H., 1954- writer of foreward (writer of foreward)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Shelter Island, New York : Manning Publications [2023]
Edición:1st ed
Materias:
Business > Data processing.
Data protection.
Big data.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009755208706719
Tabla de Contenidos:
  • Intro
  • Inside front cover
  • Analytical Maturity Model
  • In Praise of Data for All...
  • Data for All
  • Copyright
  • brief contents
  • contents
  • front matter
  • foreword
  • preface
  • acknowledgments
  • about this book
  • liveBook discussion forum
  • about the author
  • about the cover illustration
  • 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
  • Summary
  • 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
  • Summary
  • 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
  • Summary
  • 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? 18
  • 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
  • Summary
  • 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
  • Summary
  • 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 exchanges27
  • 6.6.1 Types of data exchanges
  • 6.7 Data intermediaries, data pools, and data unions
  • 6.8 Data commons
  • 6.9 Final thoughts
  • Summary
  • 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
  • Summary
  • 8 Looking forward: 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
  • Summary
  • Appendix A. Timeline of the development of the Internet
  • Appendix B. A Declaration of the Independence of Cyberspace by John Perry Barlow
  • Appendix C. Washington Post-Schar School Trust in Technology Survey
  • Methodological details
  • Appendix D. Data sources about you and your world.
  • Personal Identifiable Information (PII)
  • Personal or Protected Health Information (PHI) as defined by Health Information Portability and Accountability Act (HIPAA)
  • Impact of Privacy Policies on HIPAA protected data
  • Appendix E. A complete list of 2021 consumer data privacy legislation
  • Appendix F. Open data by US state
  • index.

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