Philip Sheldrake

Tag: datavisualisation (page 1 of 1)

27 March 2009 / 0 Comments

Visualising content to improve your understanding of the conversation

Data visualisation is a hobby of mine and a frequent topic of my posts. Frequent readers will know that I believe data visualisation to be invaluable to PR professionals in their craft, in their seeking to understand and exert influence.

IBM's awesome Many Eyes service has recently introduced a new way of visualising swathes of text ("unstructured data" in the words of the experts). An analysis they've called "Phrase Net". The easiest way to demonstrate what that means is simply to post up an example.

So I took the text from the last three months of featured posts on MarCom Professional and pasted it into Many Eyes and selected the Phrase Net visualisation, and hey presto...

marcomprofessional phrase net

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19 August 2008 / 2 Comments

Can you see it? Making influence visible.

There's a revolution coming in public relations... visualisation.

[Courtesy Christopher Baker]

Picture the scene

You hold an event to gather key stakeholders together, say a couple of dozen, and you want to maximise the  positive networking such an event should catalyse. You're also aware of a few potential personality clashes.  But how many one-to-one relationships are you actually trying to manage here?

It turns out, your relationship with each of them included, that there's 300 relationships in that room!  Wow,  and compared to the big 'World Wide Web', or the even bigger 'World' come to that, this is a relatively  insignificant number of people.

Let's go a step further. Say that there's just five critical issues facing your industry, each of which has  just three positions, say "for", "against" and "no position", then each stakeholder can have one of 243  combinations of points of view.

To complete this picture, imagine now communicating the dynamic of this group in a report back to your boss say. How do you represent 300 relationships and 243 combinations of positions? Moreover, how do you portray the network evolving year-to-year, month-to-month, hour-by-hour?

Welcome to the world of data visualisation. Read more