Deborah Birx Quotes

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 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.

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

We know now data is so powerful, and you can learn so much about yourself and creating product with data.

Data drives success. That is how we began our success with eSpeed. It was always based on the data.

Networks love data. They love to be able to look at numbers and try to predict what they think will work.

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

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.

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

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.

Go with the science!.

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.

Good policy is grounded in a robust set of facts and data.

The bigger a data set that you have, the more polls, the more surveys that you have that people undertake, the more accurate your models are going to be. That's just a fact of data science.

The big mystery of Big Data is causation versus correlation.

I'm an analytics girl.

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.

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

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?

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

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.

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.