Top 100 Data Is Quotes
#1. So it is with statistics; no amount of fancy analysis can make up for fundamentally flawed data. Hence the expression garbage in, garbage out.
Charles Wheelan
#2. Most executives, many scientists, and almost all business school graduates believe that if you analyze data, this will give you new ideas. Unfortunately, this belief is totally wrong. The mind can only see what it is prepared to see.
Edward De Bono
#3. Over the next ten years, everything that has a cord is going to have data in it.
Tony Fadell
#4. For me, all of the data that is contained in your cell memory, and in your energetic field, is able to be picked up.
Caroline Myss
#5. If you can follow only one bit of data, follow the earnings - assuming the company in question has earnings. I subscribe to the crusty notion that sooner or later earnings make or break an investment in equities. What the stock price does today, tomorrow, or next week is only a distraction.
Peter Lynch
#6. Lithium is like a beautiful lady, very much sought and pursued, especially in Bolivia. There is data indicating Bolivia has the largest reserves of lithium in the world.
Evo Morales
#7. What I love - and I'm a journalist - and what I love is finding hidden patterns; I love being a data detective.
David McCandless
#8. A data bank holding all the information that is in this universe can be found in God
Sunday Adelaja
#10. To me, the main weakness of EDA is its failure to enquire why the data were collected in the first place and its consequent tendency to apply ingenious methods largely because they are so attractively ingenious.
Michael Healy
#11. Here you have a new technology, and if that technology is going to work, you must allow people to provide central indexes of the data. It's just like a newspaper that publishes classified ads.
David Boies
#12. Losing some data is possible... after too much of it... everything remains possible.
Deyth Banger
#13. My interest is not data, it's the world. And part of world development you can see in numbers. Others, like human rights, empowerment of women, it's very difficult to measure in numbers.
Hans Rosling
#14. Plan your taxes, DO NOT avoid any taxes. Tax authorities have evolved and are using information technology to collect and analyze the data and also issue notices. See AIR to SoFTRA to know more about how and what data is collected and used.
Jigar Patel
#15. Anybody who is familiar with the historical data from the IRS knows that raising income tax rates will likely actually reduce federal revenues.
Mike Pence
#16. 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
#17. Data scientist is just a sexed up word for statistician.
Nate Silver
#18. Is the marketing effort designed to convey the candidate's convictions, or are the convictions expressed by the candidate the reflections of a "big data" research effort into individuals' likely preferences and prejudices?
Henry Kissinger
#19. The day the world runs out of oil is much farther in the future than green activists care to admit. That is clear from data compiled by Dr. Robert Bradley, Jr. at the Institute for Energy Research ...
Paul Driessen
#20. Data is a precious thing and will last longer than the systems themselves.
Tim Berners-Lee
#21. What your opponent wants you to think is useful data in figuring out what they think. So get the early draft, okay?
James S.A. Corey
#22. freedom from programs that steal your private data. Freedom from programs that trash your battery. Freedom from porn. Yep, freedom. The times they are a changin', and some traditional PC folks feel like their world is slipping away. It is.
Walter Isaacson
#23. We live in a society bloated with data yet starved for wisdom. We're connected 24/7, yet anxiety, fear, depression and loneliness is at an all-time high. We must course-correct.
Elizabeth Kapu'uwailani Lindsey
#24. A person and an organization must have goals, take actions to achieve those goals, gather evidence of achievement, study and reflect on the data and from that take actions again. Thus, they are in a continuous feedback spiral toward continuous improvement. This is what 'Kaizan' means.
W. Edwards Deming
#26. It is well and good to opine or theorize about a subject, as humankind is wont to do, but when moral posturing is replaced by an honest assessment of the data, the result is often a new, surprising insight.
Steven D. Levitt
#27. Graphics has lately made a great shift towards machine learning, which itself is about understanding data.
Jefferson Han
#28. There are periods of history when the visions of madmen and dope fiends are a better guide to reality than the common-sense interpretation of data available to the so-called normal mind. This is one such period, if you haven't noticed already.
Robert Anton Wilson
#29. The paradigm of physics - with its interplay of data, theory and prediction - is the most powerful in science.
Geoffrey West
#30. What Fucks me... is that we both are the same... we all walk on the same path... but everything is about proper directions and understanding the data.
Deyth Banger
#31. If we not only feed that most intelligent computer which is our brain but also compute the data we collect, we cannot go wrong. In a way we all can guess what will happen.
Gisela Hausmann
#32. Science is composed of laws which were originally based on a small, carefully selected set of observations, often not very accurately measured originally; but the laws have later been found to apply over much wider ranges of observations and much more accurately than the original data justified.
Richard Hamming
#33. What distinguishes the language of science from language as we ordinarily understand the word? ... What science strives for is an utmost acuteness and clarity of concepts as regards their mutual relation and their correspondence to sensory data.
Albert Einstein
#34. The evidence never seemed to matter to those in power, who had already made up their minds and did what people typically do when their worldview is threatened by new data: they attacked the messenger.
Sol Luckman
#35. Once you've produced the scientific data that's necessary to make a drug into a medicine, you've gone a long way towards mainstreaming the acceptance of these drugs as having beneficial properties. And then the step to legalization is not that far behind that.
Rick Doblin
#36. I would rather have racing without computers. The human side is forgotten, and instead of talking over what's happening and just trusting the feel of the driver, the data becomes almost more important.
Jacques Villeneuve
#37. There is good news in the data the strongest support for priests is to be found among the younger generation.
Andrew Greeley
#38. The former secretary of State is the nominee. She is also the Willie Sutton of classified data. And there is going to be a long-term effort of Republicans, whether it's Donald Trump, Marco Rubio, or Ted Cruz, to paint her into the corner.
Hugh Hewitt
#39. Information is just bits of data. Knowledge is putting them together. Wisdom is transcending them.
Ram Dass
#40. The key to good decision making is evaluating the available information - the data - and combining it with your own estimates of pluses and minuses. As an economist, I do this every day.
Emily Oster
#41. Compassion is what you're good at. I'm better at complex searches through organized data structures.
Orson Scott Card
#42. What's encouraging is that the early new platforms - Kindle and iPad - are clearly leading to people buying more books. The data is in on that.
Steven Johnson
#43. When you're reading a novel, I think the reason you care about how any given plot turns out is that you take it as a data point in the big story of how the world works. Does such-and-such a kind of guy get the girl in the end? Does adultery ever bring happiness? How do winners become winners?
Elif Batuman
#44. I know there is pressure to present a nice tidy story as regards 'apparent unprecedented warming in a thousand years or more in the proxy data' but in reality the situation is no quite so simple.
Keith Briffa
#45. Gender data is important. If girls don't have a birth certificate, how do we know how many are marrying as children?
Kathy Calvin
#46. If your data is out there earning money for somebody, you should have a say in it.
Daniel Suarez
#47. Most people think that aging is fatal and scientific data shows that that's not true.
Deepak Chopra
#48. The challenge of data analysis is how to bring vast amounts of information into productive contact with human intelligence.
Anonymous
#49. Here is yet another statement of the core idea of this book, that data concerning people is best thought of as people in disguise, and they're usually up to something.
Jaron Lanier
#50. Dropbox looks really simple to the end user and is extremely magical and just works. But under the hood, the complexity of the technology is huge. The amount of work it requires to store, scale and move this data is pretty intense.
Ruchi Sanghvi
#51. I think what bothers me so much of the time, is they take the data and theory and distort it. They must know they're distorting.
Eugenie Scott
#52. Information agencies operate in an industry that values data. Restricted access to information is what makes it valuable.
Hasan M. Elahi
#53. South Central Los Angeles, for example, is a data and media black hole, without local cable programming or links to major data systems. Just as it became a housing-and-jobs ghetto in the postwar period, it is now evolving into an off-net electronic ghetto.
Mike Davis
#55. Confusion and clutter are failures of design, not attributes of information. And so the point is to find design strategies that reveal detail and complexity - rather than to fault the data for an excess of complication. Or, worse, to fault viewers for a lack of understanding.
Edward Tufte
#56. Quality without science and research is absurd. You can't make inferences that something works when you have 60 percent missing data.
Peter Pronovost
#57. We are moving slowly into an era where Big Data is the starting point, not the end.
Pearl Zhu
#58. There is very strong historical data that suggests the way societies grow is by making large, long-term investments.
Fareed Zakaria
#59. Good science is all about following the data as it shows up and letting yourself be proven wrong, and letting everything change while you're working on it - and I think writing is the same way.
Rebecca Skloot
#60. I don't want to become a rhetorical speaker. My effectiveness is mastering all of the data and being able to respond.
Norman Finkelstein
#61. There is scarcely a subject that cannot be mathematically treated and the effects calculated or the results determined beforehand from the available theoretical and practical data.
Nikola Tesla
#62. In computer circles, any unencrypted data is known as 'cleartext.'
Barton Gellman
#63. Much of what I do in my job is think about whether relationships we see in data are causal, as opposed to just reflecting correlations. It's exactly these issues which come up in evaluating studies in public health.
Emily Oster
#64. The Crystal Wind is the Storm, and the Storm is Data, and the Data is Life.
Daniel Keys Moran
#65. It's amazing how much data is out there. The question is how do we put it in a form that's usable?
Bill Ford
#66. There are times when a data set is so robust that if you set up your analysis right, you don't need to ask it questions--it just tells you everything anyway.
Christian Rudder
#67. The modern marketer is: an experimenter, a lover of data, a content creator, a justifier of ROI.
Kimberley Walsh
#68. managing a company by looking at financial data (lag measures) is the equivalent of "driving a car by looking in the rearview mirror.
Chris McChesney
#69. Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom.
Clifford Stoll
#70. A theory is only as good as its assumptions. If the premises are false, the theory has no real scientific value. The only scientific criterion for judging the validity of a scientific theory is a confrontation with the data of experience.
Maurice Allais
#71. Software design as taught today is terribly incomplete. It talks only about what systems should do. It doesn't address the converse - things systems should not do. They should not crash, hang, lose data, violate privacy, lose money, destroy your company, or kill your customers.
Michael T. Nygard
#72. The chief problem in historical honesty is not outright lying. It is omission or de-emphasis of important data. The definition of 'important', of course, depends on one's values.
Howard Zinn
#73. Biographical data, even those recorded in the public registers, are the most private things one has, and to declare them openly is rather like facing a psychoanalyst.
Italo Calvino
#74. We have 25 or so years invested in the work. Why should I make the data available to you, when your aim is to try to find something wrong with it ...
Phil Jones
#75. Regardless of what the naysayers believe about human interaction and social media, the data show us that the abundance of technology is actually increasing the abundance of happiness all over the world.
Peter Diamandis
#76. As I noted in my article "Comparing LTO-6 to Scale-Out Storage for Long-Term Retention," in these situations tape is an ideal storage type. Data on tape can still be automatically scanned for durability and it certainly meets the cost-effectiveness requirements.
George Arthur Crump
#77. The cloud is still really just a bunch of servers, owned by someone or something, whose decisions and competence must be trusted. This applies to everything from Google Docs to Gmail: Putting our data out there really means putting it 'out there.'
Douglas Rushkoff
#78. Data is of course important in manufacturing, but I place the greatest emphasis on facts.
Taiichi Ohno
#79. All science is based on models, and every scientific model comprises three distinct stages: statement of well-defined hypotheses; deduction of all the consequences of these hypotheses, and nothing but these consequences; confrontation of these consequences with observed data.
Maurice Allais
#80. In fact, the private sector is improving their algorithmic ability to search through big data month after month after month. And, of course, a big government bureaucracy isn't keeping up.
Carly Fiorina
#81. 'Data exhaust' is probably my least favorite phrase in the big data world 'cause it sounds like something you're trying to get rid of or something noxious that comes out of the back of your car.
Rick Smolan
#82. Most of 'big data' is a fraud because it is really 'dumb data.'
Peter Thiel
#83. Big Data is just that - big. But, it's a term that is largely misunderstood and difficult to explain.
Rick Smolan
#84. The scanning of barcodes, or the reading of RFID transponders, generates data that is used in a software package to provide management or control information.
Mike Marsh
#85. The art is in preparing the content for optimal human consumption. The data doesn't just talk back to you. You collect, you analyze, you tell stories.
Leslie Bradshaw
#86. How reliable are the computer [climate] models on which possible future climates are based? Not very. All will agree that the task of modeling climate is vast, because of the estimates that have to be made and the rubbery quality of much of the data.
Don Aitkin
#87. data. Paul Collier is one of the few who has ventured a recent guess. He recently asked: "Is this dismal performance just an artifact of the data?
Morten Jerven
#88. Our pride is tied up in being right. We tend to favor data that confirm our beliefs, so we don't see alternatives. Too often, leaders practice defense routines that become self-reinforcing.
Nina Easton
#89. The mandate for the CTO's office is to unleash the power of technology, data, and innovation on behalf of the nation. The CTO's office is really trying to bring best practices, possibilities, pilots, and policy advising.
Megan Smith
#90. Stated simply, an Excel spreadsheet, or more likely a proliferation of these spreadsheets, is ill-suited for the longer-term data management and analysis required by Six Sigma teams.
Thomas Pyzdek
#91. I examine the data, as an expert, and pronounce a specialist's opinion. I claim no credit in such cases. My name figures in no newspaper. The work itself, the pleasure of finding a filed for my peculiar powers, is my highest reward.
Arthur Conan Doyle
#92. When evaluating a model, at least two broad standards are relevant. One is whether the model is consistent with the data. The other is whether the model is consistent with the 'real world.'
Kenneth A. Bollen
#93. Doc! I'd kiss you if you had a mouth, you sexy thing." Ro shouts up to the sky, as if Doc were everywhere in the universe. Which, sometimes, it feels like he is. "And I would exchange data with you if you had a dataport, you exemplary specimen. Analogically speaking. Is that correct?
Margaret Stohl
#94. Ageing is very exciting. But if I didn't work on ageing, I'd want to work on the brain. There are really cool techniques you can use now. And bioinformatics. The methods you can use for comparing large data sets - that's so powerful.
Cynthia Kenyon
#95. My analyses and conclusions differ diametrically from those of the Southern Research Institute/National Cancer Institute report wherein it is concluded that amygdalin 'does not possess activity in the Lewis lung carcinoma system.'. My analysis of the data is that it is overwhelmingly positive.
Dean Burk
#96. Life is a game of common sense. You can know all the data that the encyclopedia holds, but if you can't apply it to social situations and day to day events, you're on the same rank as someone with no data at all.
Zack W. Van
#97. HubSpot has used the lean startup method to build a spectacularly successful company. What I particularly love about HubSpot is that they are so geeked out on data analysis and making evidence-based decisions, which are at the heart of the Lean Startup process.
Eric Ries
#98. Data isn't information, any more than fifty tons of cement is a skyscraper.
Clifford Stoll
#99. While hard data may inform the intellect, it is largely soft data that generates wisdom.
Henry Mintzberg
#100. But I'd worked in IT long enough to know: Hope is a terrible survival trait. My methods were data collection, comparisons of probabilities, and collections of "what if.
Anonymous
