Top 84 Analytics Quotes & Sayings - Page 2

From aerial robotics to big data analytics, technology presents the opportunity to expedite and magnify the impact of humanitarian relief efforts through greater efficiency and responsiveness: reaching more people, sooner, more cost-effectively, and saving more lives.

No matter what the trends are in the NBA - teams going big, going small, getting more efficient with analytics - the ability for a player to create his own shot, then convert tough shots, will always be a weapon, particularly when you get to the playoffs.

You know, seeing the analytics explosion in the NBA. It wasn't something I was really into in college but in the NBA everything is numbers and how you can be more efficient, so that led to me trying to make my body more efficient, and obviously Fitbit was at the top of the line for that so it made sense.

If you are looking at data over and over you better be taking away valuable insight every time. If you are constantly looking at data that isn't leading to strategic action stop wasting your time and look for more Actionable Analytics.

I think Americans appreciate that my dad's a genuine guy. He's not gonna manicure every little word, and he's not massaging it. He's not running computer analytics to tell you what you want to hear and then do whatever the special interests tell him what they want him to do in the end.

You have the management team, coaching staff, film staff, analytics team, training staff and playing team, and you're trying to manage all that and it's overwhelming. And then you have the media responsibilities. I don't know that I help at all, but I would think my value would be to help provide more of a clear-headed view from the outside. It's not like I have huge opinions, but I do have my point of view and perspective.

The creative folks intuitively design what's best for the user, while data folks provide great insights. The true unicorns are those who can go end-to-end designing, building, measuring, analyzing, and iterating with a combination of user intuition and deep analytics.

You have to make mistakes to get better. I used to make a mistake, and I kind of get down on myself. And now I make a mistake, and I go, 'Okay, did you learn from this? Did you stick to the facts, and did you stick with the logic? Did you have the analytics?'

In geometry I find certain imperfections which I hold to be the reason why this science, apart from transition into analytics, can as yet make no advance from that state in which it came to us from Euclid. As belonging to these imperfections, I consider the obscurity in the fundamental concepts of the geometrical magnitudes and in the manner and method of representing the measuring of these magnitudes, and finally the momentous gap in the theory of parallels, to fill which all efforts of mathematicians have so far been in vain.

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.

Even smaller companies are putting resources behind their analytics teams in the same way they put resources behind engineering and product teams. There are some great tools out there that allow even tiny businesses to use data effectively.

Standing up Global Services will accelerate our capabilities across all Boeing services and support areas - from our traditional parts, modifications, and upgrades business to strengthening our data analytics and information-based offerings.

The engineering, analytics, design, testing, and delivery behind our products offer some of the hardest engineering and business challenges in the world. As we've brought our franchises into eSports and moved to digital delivery, it's become even more complex and exciting - which, in turn, has allowed us attract even more top talent.

The company started in the early 90s or late 80s. We were a behavioural science company. We didn't pivot into data analytics till 2012. So, all the data that we collected pre-2012, which was done by the British company SBL group, was collected through quantitive and qualitative research on the ground.

Baseball is a set of individuals doing their thing in the same team, but it's much more individual. In basketball people are making real time decisions about who gets the ball, do we trust everybody out on the court, and the analytics certainly don't show you all those subtle dynamics, but they're very important.

I've been lucky enough with my NBA money to make some investments in some pretty cool things, whether it be partnering up with Ben Sturner and the Leverage Agency; being involved in an analytics company called Simatree; or creating a production company and working with brands and creating content in house.

I never went into aesthetics. Aesthetics is what philosophers have to say about art, and a lot of them take an analytics position and raise the question, "What is an art object?" As soon as you fall into that trap, an artist is going to come along and say, "That isn't art - it's something else." That's a hopeless gig.

I'm very conscious of data and analytics, and understanding how our body works and different loads that we put on it throughout the course of games and practices. It helps you make adjustments if you need to, helps you be smarter about your workouts, and I think it protects you from injuries to not over-exert yourself.

Every NBA arena has six cameras in the ceiling. The question is what does the software do with video feeds? How to surface that in a set of analytics? There are some "playbooks," but in most sports these days what you really want to share out with coaches and players is a set of video that lets you visualize what's going on and what's the best way to do things.

When you're writing for the Internet, you have the analytics, and you know that people are bailing every second. But various people kept reminding me that once people have bought a book, they're in. You don't have to be selling them on every page.

The Adversity Index was created by msnbc.com and Moody's Analytics to track the economic fortunes of states and metro areas. Each month, the Adversity Index uses government data on employment, industrial production, housing starts and home prices to label each area as expanding, at risk of recession, in recession or recovering.

I don't know where streaming will go in the future. The analytics that we're seeing tell us that streaming is the next thing, and downloads are going down. I feel like with the history of this platform, from vinyl to where we are now, it just seems like the next logical step.

I played at RB Leipzig from 2013 to 2015, and my coach was Alexander Zorniger. He was a coach who was very focused on the details. He did a lot of analytics and we were focused at Leipzig on the play against the ball.

Cloud is so important because it enables digital transformation. It underpins disruptive new technologies in social, mobile, and analytics - and it is enabling industry leaders to compete in digital. Innovation is happening in the cloud - and cloud gives companies the speed and flexibility to be much more agile.