Data is the new science. Big Data holds the answers. Are you asking the right questions?
You can have data without information, but you cannot have information without data.
Things get done only if the data we gather can inform and inspire those in a position to make a difference.
The goal is to turn data into information, and information into insight.
Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.
The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.
[Sherlock Holmes:] The temptation to form premature theories upon insufficient data is the bane of our profession.
Data scientists are statisticians because being a statistician is awesome and anyone who does cool things with data is a statistician.
With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real... Big data isn't about bits, it's about talent.
If your experiment needs statistics, you ought to have done a better experiment.
Data that is loved tends to survive.
Data are becoming the new raw material of business.
Data is a precious thing and will last longer than the systems themselves.
In God we trust; all others bring data.
Data is not information, Information is not knowledge, Knowledge is not understanding, Understanding is not wisdom.
Big data is at the foundation of all of the megatrends that are happening today, from social to mobile to the cloud to gaming.
Data is the new oil? No: Data is the new soil.
Big data isn’t about bits, it’s about talent.
If we have data, let's look at data. If all we have are opinions, let's go with mine.
Intellectual Property is the oil of the 21st century.
We chose it because we deal with huge amounts of data. Besides, it sounds really cool.
Data really powers everything that we do.
Data is the next Intel Inside.
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. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.
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