November 18th, 2006

From data collection to data interpretation

As Adam Richardson of Frog Design has pointed out, we are moving from an information age into a recommendation age. What does this mean? As we are faced with making choices from an ever increasing array of options, we seek trusted sources to help us make better decisions. The information itself is simply becoming too complex, too vast to parse on our own, which is why the opinion of a third party to navigate these complexities is becoming more and more important.

Companies who started as data aggregators are now becoming data interpreters. It is no longer enough to sell the data itself—in fact, the customer expectation is often that data be made available at no cost. Instead, what customers are looking for is expert analysis by the companies they trust.

There are new opportunities that arise with this shift. Companies are now faced with the challenge of not only interpreting their information, but also communicating it to their customer base. In a recommendation age, the communications themselves become vital to continuing to build trust and brand loyalty. The way in which interpreted information is presented can become a competitive advantage when it is turned into proprietary offerings which satisfy customers both on a functional and experiential level.

Information visualization is a case in point. As I have mentioned earlier, visualization is inherently subjective, from the choice of data to its expression. Choices are made throughout the entire process, and there is always an intent driving them. In a recommendation age, information design plays the important role of providing supporting evidence for the recommendation. With so much information to parse, visualization is becoming increasingly necessary for communicating the attributes and behaviors of large datasets. And being a rhetorical device, it carries the potential to build trust with the recipient.

Posted by Christian Marc Schmidt, Saturday, November 18th, 2006 at 8:51 am. Filed under Uncategorized. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.

6 Responses to “From data collection to data interpretation”

“In a recommendation age, information design plays the important role of providing supporting evidence for the recommendation.”

Yup. Which is probably why “trust” needs to be embedded inside the communication protocols tehmselves.

Great blog, Christian…

Thanks for your comment. This is, of course, a good point and raises the question of the misuse of information to make false claims. Edward Tufte for one has written extensively about misguided information design in his books. The ethics of using information as evidence shall be the topic of another post…

Right on with the Tufte. But my point was going a bit further… I believe that there are a few drafts out there (on the verge of semantic web) that were implying the use of trusted sources within the communication protocol or its (meta)data layer to be more exact, probably featuring also some form of encryption and/or fingerprinting that would assure (to a reasonable degree) its reliability: who authored, who transmited and who backs up that piece of information, all within the protocol.

Now imagine that on top of that you could also embed “at who” is this information geared at: it would be marketer’s dream (and advertiser’s hell one might add). That “information vehicle” would stop at only the right recipients and always coming from trusted sources.

Thanks for clarifying! We were making slightly different points. Embedding the source within a piece of information is important and may indeed guarantee its authenticity. However, the question still remains as to how companies or people build trust in the first place. This is where I think information visualization can help in aggregating evidence to support a recommendation. Being inherently subjective, information visualization may be seen as a form of rhetoric, which is intended to strengthen communications and thereby build trust. Thought ultimately, it does come back to the recommendation itself, and the source. And authenticity is a necessary component of trust…

Hi,
I found your blog via google by accident and have to admit that youve a really interesting blog :-)
Just saved your feed in my reader, have a nice day :)

Thanks Florian!

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