Clayton Christensen Quotes

Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.

We have entered an era where the kinds of data and analyses that people run have gotten incredibly complicated. So you have researchers using sophisticated software programs that they probably don't understand but are generally accepted and everyone [in the field] uses.

A lot of people seem to think that data science is just a process of adding up a bunch of data and looking at the results, but that's actually not at all what the process is.

In disciplines as disparate as baseball, financial services, trucking and retail, people are realizing the power of data to help make better decisions.

There's definitely a huge opportunity for businesses to transform their operations and decision making by using data.

Big data has been used by human beings for a long time - just in bricks-and-mortar applications. Insurance and standardized tests are both examples of big data from before the Internet.

Evolving technologies that allow economists to gather new types of data and to manipulate millions of data points are just one factor among several that are likely to transform the field in coming years.

When human judgment and big data intersect there are some funny things that happen.

We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.

I learned analytics. It's a point of reference, of information. It has to be a factor in decision making.

The big mystery of Big Data is causation versus correlation.

Data science is the combination of analytics and the development of new algorithms.

You need to use data science and machine learning to get the ground truth of what's happening inside of a company.

The next darwin is more likely to be a data wonk than a naturalist wandering through an exotic landscape.

I keep saying the sexy job in the next ten years will be statisticians. People think I'm joking, but who would've guessed that computer engineers would've been the sexy job of the 1990s?

It's difficult to imagine the power that you're going to have when so many different sorts of data are available.

A graphic representation of data abstracted from the banks of every computer in the human system. Unthinkable complexity. Lines of light ranged in the nonspace of the mind, clusters and constellations of data. Like city lights, receding.

The people who are thinking most about big data right now are corporations and governments.

Most of 'big data' is a fraud because it is really 'dumb data.'

We're rapidly entering a world where everything can be monitored and measured. But the big problem is going to be the ability of humans to use, analyze and make sense of the data.

The possibilities for creation and insight are endless. We're constantly collecting more data, and it's starting to be very relevant to our lives.

The world is now awash in data and we can see consumers in a lot clearer ways.

Social media has given companies access to unprecedented amounts of information on client behavior and preferences - so-called Big Data. But making sense of it all and turning it into actionable policy has been elusive.

I think you can have a ridiculously enormous and complex data set, but if you have the right tools and methodology then it's not a problem.

Forget artificial intelligence - in the brave new world of big data, it's artificial idiocy we should be looking out for.