Facts are stubborn, but statistics are more pliable.

If you can't explain it simply, you don't understand it well enough.

The goal is to turn data into information, and information into insight.

War is ninety percent information.

If you torture the data long enough, it will confess.

You can have data without information, but you cannot have information without data.

The price of light is less than the cost of darkness.

It is a capital mistake to theorize before one has data.

The greatest value of a picture is when it forces us to notice what we never expected to see.

Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.

Data are becoming the new raw material of business.

Big Data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.

Photography is inherently an analytic discipline. Where a painter starts with a blank canvas and builds a picture, a photographer starts with the messiness of the world and selects a picture. A photographer standing before houses and streets and people and trees and artifacts of a culture imposes an order on the scene - simplifies the jumble by giving it structure. He or she imposes this order by choosing a vantage point, choosing a frame, choosing a moment of exposure, and by selecting a plane of focus.

A point of view can be a dangerous luxury when substituted for insight and understanding.

Statisticians, like artists, have the bad habit of falling in love with their models.

Without big data, you are blind and deaf and in the middle of a freeway.

It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.

If the statistics are boring, you've got the wrong numbers.

Now ... the basic principle of modern mathematics is to achieve a complete fusion [of] 'geometric' and 'analytic' ideas.

The principles of logic and mathematics are true simply because we never allow them to be anything else. And the reason for this is that we cannot abandon them without contradicting ourselves, without sinning against the rules which govern the use of language, and so making our utterances self-stultifying. In other words, the truths of logic and mathematics are analytic propositions or tautologies.

When I first began studying philosophy, a good deal of what went on in analytic epistemology was focused on addressing the Gettier problem. At first, I became quite caught up in it, and the kind of analytical ingenuity required for the work appealed to me. After a while, however, I started to lose interest.

We have a long way to go to understand that web analytics is a thinking man's tool, not a solution unto itself. On the bright side, 73% of those surveyed might still figure out that web analytics can help them drive actionable insights one day.

Do not trust any statistics you did not fake yourself.

Learn the basics of analytics and people will love you. If you don't have time to learn, hire someone.

In geometry I find certain imperfections which I hold to be the reason why this science, apart from transition into analytics, can as yet make no advance from that state in which it came to us from Euclid. As belonging to these imperfections, I consider the obscurity in the fundamental concepts of the geometrical magnitudes and in the manner and method of representing the measuring of these magnitudes, and finally the momentous gap in the theory of parallels, to fill which all efforts of mathematicians have so far been in vain.

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