
Top 25 Quotes About Data And Analytics
#1. I want you to be happy ... to laugh, smile and rejoice in order that others may be made happy by you.
Abdu'l- Baha
#2. Digital analytics is the analysis of qualitative and quantitative data from your business and the competition to drive a continual improvement of the online experience that your customers and potential customers have which translates to your desired outcomes (both online and offline).
Anonymous
#3. Blogging, writing conventional articles, and being science consultant and pocket protector ninja to various web portals and TV programs, quite often trying to promote the penicillin of hard data to people who had no interest in being cured of their ignorance.
Stephen L. Burns
#4. Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.
Geoffrey Moore
#5. Ambiguity is not, today, a lack of data, but a deluge of data.
Paul Gibbons
#6. A Sceptick therefore, who because he finds that Truths are not universally received, doubts of their existence, is just as foolish as a man who should try large shoes upon little feet, and little shoes upon large feet, and finding that they did not fit.
James Boswell
#8. For example, you could build many companies based on applying the cutting edge predictive analytics and data mining techniques commonly used at consumer web startups, quantitative hedge funds, etc., to less advanced industries.
Chris LoPresti
#9. 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.
Satya Nadella
#10. The human side of analytics is the biggest challenge to implementing big data.
Paul Gibbons
#11. Quantcast combines powerful web analytics with easy-to-read charts and data.
Matt Mullenweg
#12. I have so much admiration for women who are mothers, who balance family and work. I see them and I have this word in my head - respect. I also look to learn. I see these women and I think, 'Yes, it can be balanced, it can all work out.'
Beyonce Knowles
#13. Honor your relationships by developing listening skills.
Allan Lokos
#14. 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.
Matthew Humphreys
#15. The idea of the Universe being ruled by that marvelous old gentleman, is no longer plausible. It isn't that anybody has disproved it, but it just somehow doesn't go with the vast infinitude of the Universe.
Alan Watts
#16. predictive Analytics enabled the Big Data to deliver the actual usage and value to the businesses by putting the processed information to a real use.
Salvatore Gaukroger
#18. I then realized my analytics data was a bit odd. My keywords were no longer with me
Douglas Bader
#19. the future of connected health will rest more heavily in the area of analytics and data.
Jody Ranck
#20. 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.
Thomas Carlyle
#21. Use of analytics is accelerating, and that means more data-driven
decision making and fewer hunches. Evidence-based management
complements analytics by adding validated cause-and-effect relationships
between policies and effects.
Paul Gibbons
#22. This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization.
John Tukey
#23. The environment is not just around you, it's passing through you.
Michael Pollan
#24. We are moving slowly into an era where Big Data is the starting point, not the end.
Pearl Zhu
#25. Although the method is simple, it shows how, mathematically, random brute force can overcome precise logic. It's a numerical approach that uses quantity to derive quality.
Liu Cixin
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