Data Quotes - Page 24

In a corporate context, companies have to try very hard to oppose the enticements of conventional wisdom. They must aim for the leaps, which means that companies have to do more than simply manage their knowledge, which is composed of the insights and understandings they already know. They also have to manage the knowledge-generation process. It's not just about, "Oh, we're going to create a data warehouse and we are going to invent a computerized filing system to get at all the stuff we know."

...a vocal minority of scientists so mistrusts the models and the complex fragmentary data, that some claim that global warming is a hoax. They have made public statements accusing other scientists of deliberate fraud in aid of their research funding. Both sides are now hurling personal epithets at each other, a very bad development in Earth sciences.

People don't want the raw data, but instead want marketers to decipher the tech speak for them and present the valuable insights.

There are many who subscribe to the convention that service is a business cost, but our data demonstrates that superior service is an investment that can help drive business growth. Investing in quality talent, and ensuring they have the skills, training and tools that enable them to empathize and actively listen to customers are central to providing consistently excellent service experiences.

The future of marketing isn't big data, it's big understanding.

While the official productivity data look impressive, alternative measures that are equally reasonable show a much more subdued picture.

Biggest pent-up negative wealth effect you can see in the economic data going back to 1952.

It's not just that there is a cooperative spirit of investigation there, where we all recognise that we are engaged in a common project of inquiry. It's also that the philosophers are well-versed in the relevant empirical data, and the scientists are well-versed in the more abstract issues which are typically the central focus of philosophical work.

If members of the security apparatus could, with impunity, keep from those elected by the people that which they're entitled to know - or worse, feed false information - those who could control the classified data could be the real decision makers.

The database hugging in public institutions is hampering innovation.

What occurs as you age is an accumulation of information, data, knowledge, and what I'm going to call the matrix of the mind. There's just a rich, textured, field of information and impressions that have been all networked by the brain.

Intelligence takes chances with limited data in an arena where mistakes are not only possible but also necessary.

Making workable choices occurs in a crucible of informative mistakes. Thus Intelligence accepts fallibility. And when absolute (infallible) choices are not known, Intelligence takes chances with limited data in an arena where mistakes are not only possible but also necessary.

We are on track for a 3.5 deg C rise by 2040 (i.e. 4.2 deg C relative to pre-industrial)... When I look at this data, the trend is perfectly in line with a temperature increase of 6 degrees Celsius, which would have devastating consequences for the planet. We have 5 years to change the energy system, or have it changed

And there is a lot of idiosyncrasy. But there are also regularities and phenomena. And what the data is going to be able to do - if there's enough of it - is uncover, in the mess and the noise of the world, some lines of music that actually have harmony. It's there, somewhere.

There is no need for the scientist to go into whether an observation was made, nor into the who, what, when, or where. The data on which scientific theorizing is based are rather the propositional contents of the instrument readings recorded, or the facts detected thereby.

If I target for example an email address, for example under FAA 702, and that email address sent something to you, Joe America, the analyst gets it. All of it. IPs, raw data, content, headers, attachments, everything. And it gets saved for a very long time - and can be extended further with waivers rather than warrants.

We Facebook users have been building a treasure lode of big data that government and corporate researchers have been mining to predict and influence what we buy and for whom we vote. We have been handing over to them vast quantities of information about ourselves and our friends, loved ones and acquaintances.

I say ‘Uhmm...’ a lot. I mentioned this to Karla and she says it’s a CPU word. It means you’re assembling data in your head - spooling.

We live in a world so utterly infused with digitality that it makes even the slightest action ripple across the collection of data bases we call the web.

Three things are certain: Death, taxes, and lost data. Guess which has occurred.

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.

Librarians are more important than ever before ... are uniquely qualified to help all of us separate the digital wheat from the chaff, to help us understand the reliability of the data we encounter.

Data is your eyes, not your brain.

PowerPoint presentations, the cesspool of data visualization that Microsoft has visited upon the earth. PowerPoint, indeed, is a cautionary tale in our emerging data literacy. It shows that tools matter: Good ones help us think well and bad ones do the opposite. Ever since it was first released in 1990, PowerPoint has become an omnipresent tool for showing charts and info during corporate presentations.