Hilary Mason Quotes

Business analytics or predictive modelling is a $100 billion industry, and $41 billion is spent on outsourced business analytics every year. I think that's about twice the size of the movie industry - it's really big.

My mission is to bring the power of big data insights and analytics to every company.

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

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

When I look at the next set of technologies that we have to build in Salesforce, it's all data-science-based technology. We don't need more cloud. We don't need more mobile. We don't need more social. We need more data science.

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

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.

Every part of your business will change based on what I consider predictive analytics of the future.

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

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

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

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

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.

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 answers to today's most important scientific, business, and social problems lie in data.

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.

I sit on the board of Cloudera, a big vantage point of big data.

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

The world is looking for big data scientists, and there just aren't enough to go around.

There's a whole company called Palantir that does nothing but derive and create algorithms riches to search through big data. We're not using their capabilities. For heaven's sake, some of this is just ineptitude.

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

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.