Quotes About Analytics

Avinash Kaushik refers to much of media communications as "faith-based initiatives." In other words, they are often futile attempts to bridge the vast chasm between the two ends of the funnel - exposure and conversion... (p. 5)

We all know that Americans love their statistics - in sport, obviously. And in finance too.

There are analytics that can allow players to play better. Will everyone use it? No. They don't think it's necessary. They rely on their feel way too much and they trust that more.

Generally speaking, you should go pro with a page if you're using social media for business, because of added capabilities such as multiple administrators and extensive analytics. For Google+ in particular, sharing posts with external services such as Buffer, Sprout Social, and Hootsuite is much, much, much better with a page.

I really appreciate that ability to gather signals of demand and signals of retention early on.

Extremely large Volumes of data Extremely high Velocity of data Extremely wide Variety of data

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

You look to Google, you see this incredible world of information, you see the advertising, but you also get Google Analytics. And Google Analytics coupled with Salesforce's sales and service and marketing means that both of our customers are going to have customer insights that they've never had before. That is really exciting.

Let's give them credit," Schmidt says. "The book guys got computer science, they figured out the analytics, and they built something significant.

Incorporating science, technology, engineering, analytics and medicine to athletes' training and development not just at elite level but basing it right at the grassroots level is important.

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

Baseball is a soap opera that lends itself to probabilistic thinking. [Dick Cramer]

Morey had no way of knowing that people with a gift for using numbers to predict things would overrun professional sports management and everyplace else high-stakes decisions were being made

If the player had broken his neck the night before the NBA draft, for instance, it would be nice to know. But if you had asked Daryl Morey in 2006 to choose between his model and a roomful of basketball scouts, he'd have taken his model.

But Daryl Morey believed—if he believed in anything—in taking a statistically based approach to decision making. And the most important decision he made was whom to allow onto his basketball team.

The really interesting stuff about virtuality is what you can measure with it. Because what you can measure in virtuality is everything. Every single thing that every single person who's ever played in a game has ever done can be measured.

There's a blizzard of metrics that social sites and messaging sites put out there.

We all know that Americans love their statistics - in sport, obviously. And in finance too.

Navarro publicly said. "My function really as an economist is to try to provide the underlying analytics that confirm his intuition. And his intuition is always right in these matters.

I came from years and years in the direct marketing industry where everything is layered.

I used to wake up and look at our analytics and think, 'What if yesterday was the last day anyone used Pinterest?' Like, everyone collectively decided, 'We're done!' Over time I got more confidence.

You look at the NBA: there's all these young kids that are drafted on potential. They go to bad teams, they're in bad locker rooms, and now we got this analytics stuff that doesn't teach kids how to play. We've got these workout coaches that don't teach kids how to play basketball.

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

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