A Quote by John Tukey

This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization. — © John Tukey
This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization.
We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.
At Deloitte, our programs for veterans are bringing new approaches to the table. For instance, we're helping veterans' organizations use data analytics to sift through streams of information about veteran needs.
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.
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.
Let us not be afraid to allow for post-visualization. By post-visualization I refer to the willingness on the part of the photographer to revisualize the final image at any point in the entire photographic process.
Part of my responsibility as an officer was to oversee a team of analysts charged with synthesizing all of the data points on the map to see how one related to another. By bringing those data points together, a broader picture could be drawn and a strategy developed to counter the existing threat.
Data science is the combination of analytics and the development of new algorithms.
Quantcast combines powerful web analytics with easy-to-read charts and data.
My mission is to bring the power of big data insights and analytics to every company.
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.
I then realized my analytics data was a bit odd. My keywords were no longer with me
Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.
My feet are completely flat, but for most of my life they were still shaped like feet. Now, thanks to bunions, they're shaped more like states, wide boring ones that nobody wants to drive through.
When dealing with data, scientists have often struggled to account for the risks and harms using it might inflict. One primary concern has been privacy - the disclosure of sensitive data about individuals, either directly to the public or indirectly from anonymised data sets through computational processes of re-identification.
The part of my brain that was responsible for creating the world I lived and moved in and for taking the raw data that came in through my senses and fashioning it into a meaningful universe: that part of my brain was down, and out. And yet despite all of this, I had been alive, and aware, truly aware, in a universe characterized above all by love, consciousness, and reality. There was, for me, simply no arguing this fact. I knew it so completely that I ached.
I stay away from the arts... writing songs, being creative - those are downloads from God. You can't do data analytics on art.
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