Analytical Quotes. QuotesGram

One of the things I've always liked about my husband is he's very good at lots of stuff. He was an English teacher when I met him. He wrote poetry and played the guitar. As time went on, he decided to go into economics, so he's very analytical and mathematical in addition to his artsy side.

Yet, analytical truth is not as mysterious, or as secret, so as to not allow us to see that people with a talent for directing consciences see truth rise spontaneously.

In China, Internet surveillance has already become a profitable industry. In fact, a growing number of private firms eagerly assist the local police by aggregating this data and presenting it in easy-to-browse formats, allowing humans to pursue more analytical tasks.

Mark Hopkins was one of the truest and best men that ever lived. He had a keen analytical mind; was thoroughly accurate, and took general supervision of the books, contracts, etc. He was strictly the office man, and never bought or sold anything. I always felt when I was in the East that our business in his hands was entirely safe.

I have, by nature, an analytical mind.

The energy of college football rivals that of a live performance for me. I am an extremely analytical guy and predicting these games is right up my alley, especially with a little luck thrown in. It is even more fun when I am winning and I have to say, I have fared quite well in my predictions.

The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way we've taught managers to make decisions and consultants to analyze problems condemns them to taking action when it's too late.

I'm a very analytical person, a somewhat introspective person; that's the nature of the work I do.

I don't look at my work in a critical or analytical way; I just don't think of myself objectively. It doesn't interest me.

Engineers love to optimize problems. Now I optimize logistical problems. I ask: 'What's the goal? What are our constraints? What is the optimal, elegant way to get to that goal within those constraints?' I break it down in terms of a data funnel: 'Where in the funnel are we inefficient?' That analytical background really helps.

Analytical Quotes

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