Best 902 quotes in «data quotes» category

Customers need to be given control of their own data-not being tied into a certain manufacturer so that when there are problems they are always obliged to go back to them.

Data about an innovative idea is rarely crystal clear.

Data can't speak for itself; it's up to you to give it a voice. Try to speak truthfully.

Data are just summaries of thousands of stories - tell a few of those stories to help make the data meaningful.

Data don't generate theory - only researchers do that.

Data coming out our ears but we lack narrative.

Data is like garbage. You'd better know what you are going to do with it before you collect it.

Data-driven predictions can succeed-and they can fail. It is when we deny our role in the process that the odds of failure rise. Before we demand more of our data, we need to demand more of ourselves.

Data is a precious thing and will last longer than the systems themselves.

Data is great, but strategy is better

Data is not information, Information is not knowledge, Knowledge is not understanding, Understanding is not wisdom.

Data really powers everything that we do.

Data-driven statistics has the danger of isolating statistics from the rest of the scientific and mathematical communities by not allowing valuable cross-pollination of ideas from other fields.

Data is a lot like humans: It is born. Matures. Gets married to other data, divorced. Gets old. One thing that it doesn't do is die. It has to be killed.

Data is gathered all the time. Just take your mobile phone. Geo-location data collected by your (mobile phone service) provider is not just about your movements. It's about who you are with and what you will do next.

Data isn't information, any more than fifty tons of cement is a skyscraper.

Data is of course important in manufacturing, but I place the greatest emphasis on facts.

Data is the new oil? No: Data is the new soil.

Data scientist is just a sexed up word for statistician.

Data in our psychic program is often nonlinear, nonhierarchical, archaic, alive, and teeming with paradox. Simply booting up is a challenge, if not for no other reason than that most of us find acknowledging the unknowable and monitoring its intrusions upon the familiar and mundane more than a little embarrassing.

Data is the fabric of the modern world: just like we walk down pavements, so we trace routes through data, and build knowledge and products out of it.

Data only exists within the framework of a vision you're building to, a hypothesis of where you're moving to.

Daymark asks the right question. So we get it right the first time. We didn't want to overbuy or underbuy. They understood our business and our data. Daymark knew exactly which models we should order - not too much, not too little.

Data, I think, is one of the most powerful mechanisms for telling stories. I take a huge pile of data and I try to get it to tell stories.

Data is the new soil, because for me, it feels like a fertile, creative medium. Over the years, online, we've laid down a huge amount of information and data, and we irrigate it with networks and connectivity, and it's been worked and tilled by unpaid workers and governments.

Data is what distinguishes the dilettante from the artist

Data quality is corporate America's dirty little secret.

Data that is loved tends to survive.

Digital data are more fragile than printed material.

Disruptive technology is a theory. It says this will happen and this is why; it's a statement of cause and effect. In our teaching we have so exalted the virtues of data-driven decision making that in many ways we condemn managers only to be able to take action after the data is clear and the game is over. In many ways a good theory is more accurate than data. It allows you to see into the future more clearly.

Doctors and patients need as much data as possible to make an informed decision about what treatment is best.

Don't censor incoming data through denial.

Don't measure anything unless the data helps you make a better decision or change your actions. If you're not prepared to change your diet or your workouts, don't get on the scale.

Don't be buffaloed by experts and elites. Experts often possess more data than judgment. Elites can become so inbred that they produce hemophiliacs who bleed to death as soon as they are nicked by the real world.

Engineering, I think you can pick up. [A data scientist's] curiosity is built-in

Education helps you to be a well-rounded person, period. It teaches you how to take in information and data, process it, and use it for life building. Education was key in my family. You were going to college.

Education is not the piling on of learning, information, data, facts, skills, or abilities-that's training or instruction-but is rather making visible what is hidden as a seed.

Emphasize your strengths on your resume, in your cover letters and in your interviews. It may sound obvious, but you'd be surprised how many people simply list everything they've ever done. Convey your passion and link your strengths to measurable results. Employers and interviewers love concrete data.

Don’t use the language of ‘good’ or ‘bad’ when talking about blood sugar numbers – these are data points, not judgments of your ability to manage your diabetes.

Early in a startup, product decisions should be hunch driven. Later on, product decisions should be data driven.

Education is not the piling on of learning, information, data, facts, skills, or abilities--that's training or instruction--but is rather a making visible what is hidden as a seed... To be educated, a person doesn't have to know much or be informed, but he or she does have to have been exposed vulnerably to the transformative events of an engaged human life... One of the greatest problems of our time is that many are schooled but few are educated.

E-mail, when it became mobile - what happened? Utilization of email went through the roof. Just pure Internet access and data - what happens when you mobilize it? Multiples. People are dependent upon broadband and as you mobilize it, they become even more dependent on broadband.

EMA research evidences strong and growing interest in leveraging log data across multiple infrastructure planning and operations management use cases. But to fully realize the potential complementary value of unstructured log data, it must be aligned and integrated with structured management data, and manual analysis must be replaced with automated approaches. By combining the RapidEngines capabilities with its existing solution, SevOne will be the first to truly integrate log data into an enterprise-class, carrier-grade performance management system.

English general and singular terms, identity, quantification, and the whole bag of ontological tricks may be correlated with elements of the native language in any of various mutually incompatible ways, each compatible with all possible linguistic data, and none preferable to another save as favored by a rationalization of the native language that is simple and natural to us.

Errors using inadequate data are much less than those using no data at all.

Even more important than statistics is then having the staff that can take the data and ensure it's presented in a way that improves individuals and teams.

Euclid 's manner of exposition, progressing relentlessly from the data to the unknown and from the hypothesis to the conclusion, is perfect for checking the argument in detail but far from being perfect for making understandable the main line of the argument.

Even the best data security systems can't protect private taxpayer information from entrepreneurial foreign businesses than can make huge profits selling U.S. taxpayer information.

Even the new feminist research on sex-role socialization and sex differences has sometimes had the unfortunate consequence of creating a new set of stereotypes about what women feel and how women behave. Despite the large amount of overlap between the sexes in most research, the tendency to label and polarize and thus to exaggerate differences remains in much reporting of data, which may, for example, report the mean scores of male and female populations but not the degree of overlap.

Everybody is connected to everybody else, all data that can be shared will be shared: get used to it.