Cover of Big Data: A Revolution That Will Transform How We Live, Work, and Think

Book Highlights

Big Data: A Revolution That Will Transform How We Live, Work, and Think

by Viktor Mayer-Schönberger

What it's about

This book examines how the shift toward massive data analysis changes our world by prioritizing correlations over traditional cause-and-effect reasoning. The authors reveal how relying on large-scale data patterns creates new economic value while simultaneously threatening individual privacy and human agency.

Key ideas

  • Shift to correlations: We now focus on the "what" rather than the "why" by using massive datasets to predict probabilities instead of seeking causal explanations.
  • Data as a raw material: Information is a vital economic asset that functions like oil or labor, enabling companies to optimize sales and personalize services at scale.
  • The danger of predictive justice: Relying on data to judge people based on their propensities for future behavior threatens the legal principle of individual responsibility.
  • The data dictatorship: Society risks becoming obsessed with metrics, leading us to trust algorithmic outputs even when they are flawed or ethically questionable.

You'll love this book if...

  • You want to understand how tech giants like Google and Amazon actually influence your daily decisions.
  • You are interested in the tension between technological efficiency and personal freedom.
  • You want a clear explanation of how modern data analytics differs from traditional statistics.

Best for

Professionals and curious readers navigating the ethical and practical implications of an increasingly data-driven society.

Books with the same vibe

  • The Age of Surveillance Capitalism by Shoshana Zuboff
  • Weapons of Math Destruction by Cathy O'Neil
  • The Filter Bubble by Eli Pariser

22 popular highlights from this book

Key Insights & Memorable Quotes

The most popular highlights from Big Data: A Revolution That Will Transform How We Live, Work, and Think, saved by readers on Screvi.

“The very idea of penalizing based on propensities is nauseating. To accuse a person of some possible future behavior is to negate the very foundation of justice: that one must have done something before we can hold him accountable for it. After all, thinking bad things is not illegal, doing them is. It is a fundamental tenet of our society that individual responsibility is tied to individual choice of action. [...] Were perfect predictions possible, they would deny human volition, our ability to live our lives freely. Also, ironically, by depriving us of choice they would exculpate us from any responsibility.”
“Sometimes the constraints that we live with, and presume are the same for everything, are really only functions of the scale in which we operate.”
“The IT revolution is evident all around us, but the emphasis has mostly been on the T, the technology. It is time to recast our gaze to focus on the I, the information.”
“In God we trust—all others bring data,”
“Captcha (for Completely Automated Public Turing Test to Tell Computers and Humans Apart). Five”
“there were more than 30 surveillance cameras within 200 yards of the London apartment where George Orwell wrote 1984.”
“Los datos masivos tratan del qué, no del porqué.”
“Facebook seems to catch all that information too, along with our social relationships.”
“East Germany was one of the most comprehensive surveillance states ever seen.”
“The ability to record information is one of the lines of demarcation between primitive and advanced societies.”
“data became a raw material of business, a vital economic input, used to create a new form of economic value.”
“Predictions based on correlations lie at the heart of big data.”
“The technical tools for handling data have already changed dramatically, but our methods and mindsets have been slower to adapt.”
“Amazon monitors our shopping preferences and Google our browsing habits, while Twitter knows what’s on our minds.”
“Today a third of all of Amazon’s sales are said to result from its recommendation and personalization systems.”
“Somos más sensibles de lo que pensamos a la “dictadura de los datos”; es decir, a permitir que los datos nos gobiernen de formas que pueden resultar tan dañinas como provechosas. La amenaza consiste en que nos dejemos atrapar irracionalmente por el resultado de nuestros análisis, aun cuando tengamos motivos razonables para sospechar que algo está mal. O en que nos acabemos obsesionando por la recopilación de hechos y cifras por el mero amor a los datos. O en que les atribuyamos un grado de veracidad que no merecen.”
“La propiedad de sus datos personales puede brindar a los consumidores individuales unas formas de poder que no se habían contemplado antes. Los ciudadanos pueden querer decidir por sí mismos a quién licenciar sus datos, y por cuánto.”
“Nos arriesgamos a ser víctimas de una dictadura de los datos, por la que fetichizaremos la información, el fruto de nuestros análisis, y acabaremos usándola mal. Manejados de forma responsable, los datos masivos son una herramienta útil para adoptar decisiones racionales. Empleados equivocadamente, pueden convertirse en un instrumento de poder, que algunos pueden convertir en una fuente de represión, bien simplemente frustrando a consumidores y empleados, o bien –y es peor– perjudicando a los ciudadanos.”
“Es cierto que los modernos sistemas de tecnología de la información (TI) ciertamente han hecho posibles los datos masivos, pero, en esencia, el paso a los datos masivos es una continuación de esa antigua misión humana que es medir, registrar y analizar el mundo.”
“big data refers to things one can do at a large scale that cannot be done at a smaller one, to extract new insights or create new forms of value, in ways that change markets, organizations, the relationship between citizens and governments, and more.”
“Si el estado basa muchas decisiones en predicciones y en el deseo de mitigar el riesgo, nuestras elecciones individuales –y, por consiguiente, nuestra libertad de acción individual– dejan de importar.”
“Big data is not about trying to “teach” a computer to “think” like humans. Instead, it’s about applying math to huge quantities of data in order to infer probabilities: the”

Find Another Book

Search by title or author to explore highlights from other books.

Try it with your highlights

Create your account, add your highlights and see how Screvi can change the way you read.

Get Started for Free(No credit card required)