A Quote by Dan Heath

Data are just summaries of thousands of stories - tell a few of those stories to help make the data meaningful. — © Dan Heath
Data are just summaries of thousands of stories - tell a few of those stories to help make the data meaningful.
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.
We are ... led to a somewhat vague distinction between what we may call "hard" data and "soft" data. This distinction is a matter of degree, and must not be pressed; but if not taken too seriously it may help to make the situation clear. I mean by "hard" data those which resist the solvent influence of critical reflection, and by "soft" data those which, under the operation of this process, become to our minds more or less doubtful.
It's important to tell meaningful stories and to find new ways to communicate those stories to people.
There are a number of fascinating stories included in 'The Human Face of Big Data' that represent some of the most innovative applications of data that are shaping our future.
A data scientist is that unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data.
The art is in preparing the content for optimal human consumption. The data doesn't just talk back to you. You collect, you analyze, you tell stories.
The very act of story-telling, of arranging memory and invention according to the structure of the narrative, is by definition holy. We tell stories because we can't help it. We tell stories because we love to entertain and hope to edify. We tell stories because they fill the silence death imposes. We tell stories because they save us.
The big thing that's happened is, in the time since the Affordable Care Act has been going on, our medical science has been advancing. We have now genomic data. We have the power of big data about what your living patterns are, what's happening in your body. Even your smartphone can collect data about your walking or your pulse or other things that could be incredibly meaningful in being able to predict whether you have disease coming in the future and help avert those problems.
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.
There are only really a few stories to tell in the end, and betrayal and the failure of love is one of those good stories to tell.
My work is focused on using data to tell stories and explore our common humanity.
Data!data!data!" he cried impatiently. "I can't make bricks without clay.
So much of the knowledge in our minds is based on lies and superstitions that come from thousands of years ago. Humans create stories long before we are born, and we inherit those stories, we adopt them, and we live in those stories.
Maybe stories are just data with a soul.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
Go out and collect data and, instead of having the answer, just look at the data and see if the data tells you anything. When we're allowed to do this with companies, it's almost magical.
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