Tom Chatfield Quotes

We're entering a new world in which data may be more important than software.

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

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.

Big Data is just that - big. But, it's a term that is largely misunderstood and difficult to explain.

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

Everything is changing now that we are in the cloud in terms of sharing our data, understanding our data using new techniques like machine learning.

I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.

I like to say I've been working on big data for so long, it used to be small data when I started working on it.

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.

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.

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.

People are saying, 'Big Data is the new oil.'

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.

The big mystery of Big Data is causation versus correlation.

There are a number of fascinating stories included in 'The Human Face of Big Data' that represent some of the most innovative applications of data that are shaping our future.

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

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

Our ability to do great things with data will make a real difference in every aspect of our lives.

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.

We're not in an information age anymore. We're in the information management age.

Across our great nation, we've begun to see an acceleration of the power of data to deliver value.

The ability to collect, analyze, triangulate and visualize vast amounts of data in real time is something the human race has never had before. This new set of tools, often referred by the lofty term 'Big Data,' has begun to emerge as a new approach to addressing some of the biggest challenges facing our planet.

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.