Data is not information, Information is not knowledge, Knowledge is not understanding, Understanding is not wisdom.
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.
Experts often possess more data than judgment.
The goal is to turn data into information, and information into insight.
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.
Data is like garbage. You'd better know what you are going to do with it before you collect it.
Big data isn’t about bits, it’s about talent.
In the next 10 years, data science and software will do more for medicine than all of the biological sciences together.
All models are wrong, but some are useful.
The greatest value of a picture is when it forces us to notice what we never expected to see.
Data are becoming the new raw material of business.
Data is a precious thing and will last longer than the systems themselves.
If you can't explain it simply, you don't understand it well enough.
Scientists do not collect data randomly and utterly comprehensively. The data they collect are only those that they consider *relevant* to some hypothesis or theory.
The more the data banks record about each one of us, the less we exist.
Maybe stories are just data with a soul.
You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment.
[Sherlock Holmes:] The temptation to form premature theories upon insufficient data is the bane of our profession.
Don't be buffaloed by experts and elites. Experts often possess more data than judgment. Elites can become so inbred that they produce hemophiliacs who bleed to death as soon as they are nicked by the real world.
Data are just summaries of thousands of stories - tell a few of those stories to help make the data meaningful.
The price of light is less than the cost of darkness.
With data collection, 'the sooner the better' is always the best answer.
Errors using inadequate data are much less than those using no data at all.
It is a capital mistake to theorize before one has data.
The world is now awash in data and we can see consumers in a lot clearer ways.
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