I find more and more executives less and less well informed about the outside world, if only because they believe that the data on the computer printouts are ipso facto information.
Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.
So ensuring the integrity of the data and integrity and validity of the connection is a very important element in any company's strategy that is moving towards a Web service paradigm.
Errors using inadequate data are much less than those using no data at all.
Paleontologists [fossil experts] have paid an exorbitant price for Darwin's argument. We fancy ourselves as the only true students of life's history, yet to preserve our favored account of evolution by natural selection we view our data as so bad that we almost never see the very process we profess to study.
The Noisiest buzz in the industry lately has been over the emerging use of cable TV systems to provide fast network data transmissions using a device called a cable modem. But the likelihood of this technology succeeding is zilch.
If you step back and look at the data, the optimum amount of red meat you eat should be zero.
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.
People will come to your site because you have good compelling content. You need to hit it from all angles: blog posts, articles, graphs, data, infographics, interactive content - even short pictures when you Tweet.
There is a reasonable concern that posting raw data can be misleading for those who are not trained in its use and who do not have the broader perspective within which to place a particular piece of data that is raw.
When future generations look back on the global-warming scare of the past 30 years, nothing will shock them more than the extent to which the official temperature records - on which the entire panic ultimately rested - were systematically "adjusted" to show the Earth as having warmed much more than the actual data justified.
I like facts and data because they help me think clearly, beyond the cultural messages that I ingest unwittingly, and sometimes find myself regurgitating almost unconsciously.
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.
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.
You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment.
I'm telling as an actual source to the press,I'm telling you as a source that, to the best of my knowledge, and based on conversations that the RNC has had with the FBI, I know of no instance that [George Stephanopoulos] describing involving the RNC or the RNC's data.
The [Bernie] Sanders campaign became the center of a good old-fashioned political controversy. His coverage went from no news to bad news with the revelation that four Sanders staffers took advantage of a software glitch to access confidential voter data belonging to the Hillary Clinton campaign.
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 datametrics 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.
Real anatomy exists in three dimensions, so any time you can view anatomical data in 3D, you'll have a much more accurate picture of the subject,. . . Even multiple two-dimensional CT slices can never allow you to understand a subject's dental condition as quickly or as accurately as a quality 3D visualization.
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.