Data Insights Quotes

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.

Go out and collect data and, instead of having the answer, just look at the data and see if the data tells you anything. When we're allowed to do this with companies, it's almost magical.

Rob Engle and I are concerned with extracting useful implications from economic data, and so the properties of the data are of particular importance.

The problem with data is that it says a lot, but it also says nothing. 'Big data' is terrific, but it's usually thin. To understand why something is happening, we have to engage in both forensics and guess work.

Data is going to be dynamic... and, combined with the performance of computing that allows for artificial intelligence to be applied, is going to bring all kinds of insights and additives to enhance everyday life.

The biggest challenge in big data today is asking the right questions of data. There are so many questions to ask that you don't have the time to ask them all, so it doesn't even make sense to think about where to start your analysis.

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'm really curious about people - what their desires and interests are - and bit.ly's data tell me that. It gives me an unprecedented window into human communication and behavior.

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

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.

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

The power of Ayasdi is its unique ability to automatically discover insights - regardless of complexity - without asking questions.

Digg will serve as a means of gathering metrics for third party websites, providing them insights into who's digging their content, who they are spreading it to.

The people at Netflix are extremely intelligent about the way they monitor activity on their platform.

There's something that happens with the collection of a large amount of data when it's dumped into an Excel spreadsheet or put into a pie chart. You run the risk of completely missing what it's about.

In a slower economy, companies look for more value. The cloud provides this. So does Big Data.

Quantcast combines powerful web analytics with easy-to-read charts and data.

Data, I think, is one of the most powerful mechanisms for telling stories. I take a huge pile of data and I try to get it to tell stories.

For me, the most exciting aspect of my success is how the insights that Ayasdi's technology has found in data can truly impact people's lives.

The impulse to collect data preceded the ability to make sense of it. People facing a complicated problem measure whatever they can easily measure. But the measurements by themselves don’t lead to understanding.

Every day we have teams looking for new data sets.

People used to pooh-pooh the idea of a check-in, saying that this wasn't interesting. But when you have 3 billion of those data points, you can take any latitude and longitude anywhere in the world, and I'll tell you what is interesting now, 20 minutes from now, and 6 hours from now.

It's a huge competitive advantage to see in real time what's happening with your data.

I'm pretty active anyway, but I'm also competitive.I used my Fitbit as an example of the innate power of data to turn information into insights and actions.

I think data is incredibly powerful for understanding what people are thinking and for allocating resources.