Data Points Quotes

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.

I can't ever remember being struck by lightning when making a big decision. It's always about taking in more and more data points and making tack adjustments as you figure it out. I call customers, suppliers, industry analysts and try to get as much information as possible.

It's OK when something doesn't work. It gives you another data point when things do work.

I say I write extrapolations. I look at data points and ask what the world could look like.

Our ubiquitous mobile access has made time and location important data points in how businesses can now be built and managed.

Don’t use the language of ‘good’ or ‘bad’ when talking about blood sugar numbers – these are data points, not judgments of your ability to manage your diabetes.

Trying to analyze a situation without enough data was like looking at a photograph of a ball in flight and trying to gauge its direction. Is it going up, down, sideways? Is it about to collide with a baseball bat? Is it moving at all, or is something on the blind side holding it in place? A single frame didn't mean a thing. Patterns were based on data. With enough datapoints, you could predict just about anything.

You need to keep having data points of progress, so even if an investor - and we've all had investors say no to us - there are times where you go back, and you keep them in the loop, and you keep telling them the progress and the perseverance you have.

Your body is spewing off millions of data points a second.

TV producers want ratings and are willing to do nearly anything to get them. They gin up artificial conflicts and create an urgency for even the most minor of economic data points.

It's easy for me to see how a business proposition is going to play out, or who our next-generation competitors are, from taking this data point from this customer and another data point from another customer... and jump to Z.

Well, we'll look at the hundred thousand type A personalities, and then we'll have a look at the corresponding data points that we have on those hundred thousand people. We'll have a look at what attributes they have in common and then we'll build a model based on that.

When something like this hits you in a campaign, you have to decide how you're going to respond, and we had a novel idea. What if, instead of responding with partisanship, we responded with a focus on results? What if we ran a campaign that was not about running against someone, but was about bringing people together behind a common vision? And so we decided to respond not with a negative ad but with something people find even sexier -- data points. And so we emphasized things like increasing per capita income in our city, increasing our city's population, and we stuck to those relentlessly, throughout the campaign, always bringing it back to those things by which our voters could measure, in a very transparent way, how we were doing, and hold me accountable if I got elected.

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.

We're called conspiracy theorists because we see this cabal right in front of us. We're able to aggregate these data points and show what was really going on.