Best 902 quotes in «data quotes» category

Make your copy straightforward to read, understand and use. Use easy words; those that are used for everyday speech. Use phrases that are not too imprecise and very understandable. Do not be too stuffy; remove pompous words and substitute them with plain words. Minimize complicated gimmicks and constructions. If you can't give the data directly and briefly, you must consider writing the copy again.

Making good judgments when one has complete data, facts, and knowledge is not leadership - it's bookkeeping

Management must provide employees with tools that will enable them to do their jobs better, and with encouragement to use these tools. In particular, they must collect data.

MapReduce has become the assembly language for big data processing, and SnapReduce employs sophisticated techniques to compile SnapLogic data integration pipelines into this new big data target language. Applying everything we know about the two worlds of integration and Hadoop, we built our technology to directly fit MapReduce, making the process of connectivity and large scale data integration seamless and simple.

Marketers can target Sponsored Updates to any segment of our premium audience based on professional profile data across more than 225 million members.

Mathematicians come to the solution of a problem by the simple arrangement of the data, and reducing the reasoning to such simple operations, to judgments so brief, that they never lose sight of the evidence that serves as their guide.

Mathematics may be compared to a mill of exquisite workmanship, which grinds you stuff of any degree of fineness; but, nevertheless, what you get out depends upon what you put in; and as the grandest mill in the world will not extract wheat-flour from peascods, so pages of formulae will not get a definite result out of loose data.

Mathematics alone make us feel the limits of our intelligence. For we can always suppose in the case of an experiment that it is inexplicable because we don't happen to have all the data. In mathematics we have all the data, brought together in the full light of demonstration, and yet we don't understand. We always come back to the contemplation of our human wretchedness. What force is in relation to our will, the impenetrable opacity of mathematics is in relation to our intelligence.

Maybe we, the cultural workers , could apply ourselves. We're not going to resolve it in this moment or even in this generation, but perhaps as some kind of agenda we could invite our writers and cultural workers to address the problem a little more responsibly, because people are suffering tremendously from a want of data.

Measurement has too often been the leitmotif of many investigations rather than the experimental examination of hypotheses. Mounds of data are collected, which are statistically decorous and methodologically unimpeachable, but conclusions are often trivial and rarely useful in decision making. This results from an overly rigorous control of an insignificant variable and a widespread deficiency in the framing of pertinent questions. Investigators seem to have settled for what is measurable instead of measuring what they would really like to know.

Merely presenting a driver's license or other document based on a birth certificate is not enough for an accurate verification. Biometric verification of identity must be made and then a data base of those persons who have legal status must be checked.

Most companies don't want their data co-mingled with other customers. Small companies will tolerate it.

Microsoft is in a court battle with the Department of Justice. The DOJ is saying, "We want information from your data center in Ireland. It's not about a US citizen, but we want it." Microsoft said, "OK, fine. Go to a judge in Ireland. Ask them for a warrant. We have a mutual legal-assistance treaty. They'll do it. Give that to us, and we'll provide the information to you in accordance with Irish laws.

Modern statisticians are familiar with the notion that any finite body of data contains only a limited amount of information on any point under examination; that this limit is set by the nature of the data themselves, and cannot be increased by any amount of ingenuity expended in their statistical examination: that the statistician's task, in fact, is limited to the extraction of the whole of the available information on any particular issue.

Molecular genetics can show off some surprising relationships like, for example, the close relationship of whales to hippopotamuses, which I think nobody ever guessed until molecular data was looked at. The closest relatives of whales are hippopotamuses, even closer than any other cloven-hoofed animals.

Morphological information has provided the greatest single source of data in the formulation and development of the theory of evolution and that even now, when the preponderance of work is experimental, the basis for interpretation in many areas of study remains the form and relationships of structures.

Most managers receive much more data (if not information) than they can possibly absorb even if they spend all of their time trying to do so. Hence they already suffer from an information overload.

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.

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.

My advice was to start a policy of making reversible decisions before anyone left the meeting or the office. In a startup, it doesn't matter if you're 100 percent right 100 percent of the time. What matters is having forward momentum and a tight fact-based data/metrics feedback loop to help you quickly recognize and reverse any incorrect decisions. That's why startups are agile. By the time a big company gets the committee to organize the subcommittee to pick a meeting date, your startup could have made 20 decisions, reversed five of them and implemented the fifteen that worked.

My answer to someone who is in contrast with me - by not seeing God in the scientific data - is that you don't see God in the scientific data because you're not me. I have other experiences than you have, that bring me to look at this data as enriching my experience of God.

My investigations resembled the pursuit of the solution to a problem for which I had three data: the object, the thing connected with it in the shadow of my consciousness, and the light wherein that thing would become apparent.

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.

My study is NOT as a climatologist, but from a completely different perspective in which I am an expert … For decades, as a professional experimental test engineer, I have analyzed experimental data and watched others massage and present data. I became a cynic; My conclusion - 'if someone is aggressively selling a technical product who's merits are dependent on complex experimental data, he is likely lying'. That is true whether the product is an airplane or a Carbon Credit.

My radio show, I'd show up, I'd read the data, and I would have sound bites and stuff like that.

Nilekani's technocratic obsession with gathering data is consistent with that of Bill Gates, as though lack of information is what is causing world hunger.

New applications will have to deal with big data. We have to analyze it on the fly, so we have to have a system that is transactional and analytical at the same time. We cannot have a multi-stage system. This is too slow for modern applications.

... negative feelings are not true feelings at all; rather, they are your thoughts about something, based always on the previous experience of yourself and others. You will not find Truth in your past data, only past data that is based on other past data that is based on other past data, and so forth. Forget your "past experience" and look directly at the experience you are having. Right Here, Right Now. There is your Truth.

No great marketing decisions have ever been made on qualitative data

... no compelling data to support its anachronistic social Darwinism.

No matter how invasive the technologies at their disposal, marketers and pollsters never come to terms with the living process through which people choose products or candidates; they are looking at what people just bought or thought, and making calculations based on that after-the-fact data.

[N]o scientist likes to be criticized. ... But you don't reply to critics: "Wait a minute, wait a minute; this is a really good idea. I'm very fond of it. It's done you no harm. Please don't attack it." That's not the way it goes. The hard but just rule is that if the ideas don't work, you must throw them away. Don't waste any neurons on what doesn't work. Devote those neurons to new ideas that better explain the data. Valid criticism is doing you a favor.

No one who has experienced the intense involvement of computer modeling would deny that the temptation exists to use any data input that will enable one to continue playing what is perhaps the ultimate game of solitaire.

Nothing beats standing in the middle of the action, with all the data I need at my fingertips

Nothing is more detestable to the physical anthropologist than... the wretched habit of cremating the dead. It involves not only a prodigal waste of costly fuel and excellent fertilizer, but also the complete destruction of physical historical data. On the other hand, the custom of embalming and mummification is most praiseworthy and highly to be recommended.

Not sense data or atoms or electrons or packets of energy, but purposes, interests, and meanings, constitute the underlying facts of human experience.

Now that knowledge is taking the place of capital as the driving force in organizations worldwide, it is all too easy to confuse data with knowledge and information technology with information.

Now clearly this advantage is when the data on tape has been found and just needs to be transferred back. You need to add a minute or so of seek time to find the data. On large transfers, though, tape should outpace most disk systems. From an ingest perspective, LTO-6 and other enterprise tape formats may be unrivaled when compared on a single unit basis.

Now companies tend to mine gigantic databases for insights into what might happen six months from now. That might always be valuable, but there's a different kind of value - and a competitive edge - in processing ongoing streams of data through a software model that can quickly and constantly make predictions about, say, whether a certain customer is going to defect, or an aircraft is going to run into trouble.

On average, people should be more skeptical when they see numbers. They should be more willing to play around with the data themselves.

Nuclear weapons production and testing has involved extensive health and environmental damage .... One of the most remarkable features of this damage has been the readiness of governments to harm the very people that they claimed they were protecting by building these weapons for national security reasons. In general, this harm was inflicted on people in disregard of democratic norms. Secrecy, fabrication of data, cover-ups in the face of attempted public inquiry, and even human experiments without informed consent have all occurred in nuclear weapons production and testing programs.

Obviously, a man's judgement cannot be better than the information on which he has based it. Give him the truth and he may still go wrong when he has the chance to be right, but give him no news or present him only with distorted and incomplete data, with ignorant, sloppy or biased reporting, with propaganda and deliberate falsehoods, and you destroy his whole reasoning processes, and make him something less than a man.

Oh, scientific mind. You get all your data from us, the senses, but without us you would be nothing.

Once he could read and write he would have a mind fit to rule. So ran the democratic doctrine. But instead of a mind, universal literacy has given him rubber stamps, rubber stamps inked with advertising slogans, with editorials, with published scientific data, with the trivialities of the tabloids and the platitudes of history, but quite innocent of original thought.

Once the business data have been centralized and integrated, the value of the database is greater than the sum of the preexisting parts.

One common behavior of late Stage 3 [in the process of a company's decline] is when those in power blame other people or external factors- or otherwise explain away the data- rather than confront the frightening reality that the enterprise may be in serious trouble.

On data: We are the drivers, not the driven.

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.

One of the liberating effects of science fiction when I was a teenager was precisely its ability to tune me into all sorts of strange data and make me realize that I wasn’t as totally isolated in perceiving the world as being monstrous and crazy

One of the applications of Big Data is giving people the facts, and getting them to understand that their own decision-making is not perfect. And that in itself causes them to change their behavior