Analytics, math, science has gone into a lot of different areas of the NBA.
Data really powers everything that we do.
Analytics only goes so far. Basketball, more than baseball, for example, is really a team sport.
I learned analytics. It's a point of reference, of information. It has to be a factor in decision making.
I have never been a stats person.
I am social media savvy.
Google is famous for making the tiniest changes to pixel locations based on the data it accrues through its tests. Google will always choose a spartan webpage that converts over a beautiful page that doesn't have the data to back it up.
Connecting with fans is very important to me and useful, too! It's almost as if I have my own focus group. If I put up one picture that gets 1,000 likes and one that gets 15,000 likes, it gives me a big clue as to what people like to see.
Companies and managers that find a way to harness social media stand to gain.
In our firm's earliest days, our understanding of the power of great software engineering and quantitative analytics helped Citadel stand out.
No great marketing decisions have ever been made on qualitative data
When analytic thought, the knife, is applied to experience, something is always killed in the process.
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 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.
I've spent 10 years checking my analytics on my end to see what people were talking about and what they like.
Data science is the combination of analytics and the development of new algorithms.
Just about any growth company is going to need smart salespeople, account and project managers, business development, marketing, operations, customer service, content creation, communications, analytics, and social media.
In disciplines as disparate as baseball, financial services, trucking and retail, people are realizing the power of data to help make better decisions.
Data drives success. That is how we began our success with eSpeed. It was always based on the data.
I've never been a stat guy.
I think Facebook, Twitter and YouTube are the cornerstones of any social media strategy.
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.
I'm skilled in the Twitter and Instagram sense of the social media verse.
As an actress, weekends can be spent working, but my husband, Ryan, works regular hours as an analytics manager for L'Oreal.
Machines have the ability to assemble things faster than any human ever could, but humans possess the analytics, domain expertise, and valuable knowledge required to solve problems and optimize factory floor production.
