A Quote by David Byrne

The very best [infographics] engender and facilitate an insight by visual means - allow us to grasp some relationship quickly and easily that otherwise would take many pages and illustrations and tables to convey. Insight seems to happen most often when data sets are crossed in the design of the piece - when we can quickly see the effects on something over time, for example, or view how factors like income, race, geography, or diet might affect other data. When that happens, there's an instant "Aha!".
I do read very, very quickly. I do process data very quickly. And so I write very quickly. And it is embarrassing because there is a conception that the things that you do quickly are not done well. I think that's probably one of the reasons I don't like the idea of prolific.
If you are looking at data over and over you better be taking away valuable insight every time. If you are constantly looking at data that isn't leading to strategic action stop wasting your time and look for more Actionable Analytics.
While many big-data providers do their best to de-identify individuals from human-subject data sets, the risk of re-identification is very real.
The biggest mistake is an over-reliance on data. Managers will say if there are no data they can take no action. However, data only exist about the past. By the time data become conclusive, it is too late to take actions based on those conclusions.
Web users ultimately want to get at data quickly and easily. They don't care as much about attractive sites and pretty design.
I will talk about two sets of things. One is how productivity and collaboration are reinventing the nature of work, and how this will be very important for the global economy. And two, data. In other words, the profound impact of digital technology that stems from data and the data feedback loop.
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.
When dealing with data, scientists have often struggled to account for the risks and harms using it might inflict. One primary concern has been privacy - the disclosure of sensitive data about individuals, either directly to the public or indirectly from anonymised data sets through computational processes of re-identification.
Black boxes are really important to our investigators. The cockpit voice recorder can give us insight into what's going on with the crew in the cockpit. The flight data recorders can give us insight into what's happening with the performance of the aircraft.
Tape with LTFS has several advantages over the other external storage devices it would typically be compared to. First, tape has been designed from Day 1 to be an offline device and to sit on a shelf. An LTFS-formatted LTO-6 tape can store 2.5 TB of uncompressed data and almost 6 TB with compression. That means many data centers could fit their entire data set into a small FedEx box. With LTFS the sending and receiving data centers no longer need to be running the same application to access the data on the tape.
Most of us take for granted that time flies, meaning that it passes too quickly. But in the mindful state, time doesn't really pass at all. There is only a single instant of time that keeps renewing itself over and over with infinite variety.
No generalizing beyond the data, no theory. No theory, no insight. And if no insight, why do research.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
Some of the commercial work I do is helping people to improve their presentations and add some design thinking. There are so many amazing things in science, and such great data, which can often be locked away. It's in the minds of these amazing practitioners, who can't necessarily express what they want in a visual way.
The ability to collect, analyze, triangulate and visualize vast amounts of data in real time is something the human race has never had before. This new set of tools, often referred by the lofty term 'Big Data,' has begun to emerge as a new approach to addressing some of the biggest challenges facing our planet.
Data and data sets are not objective; they are creations of human design. We give numbers their voice, draw inferences from them, and define their meaning through our interpretations.
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