There are many applications and levels that context brokering can be applied. To provide a basic example, we’ve applied a simple network analysis to map and understand the market for strategic consultancy services (at this stage we’ve focused the mapping on the UK, but a large number of secondary, global sources have been found in the search).
To do this we designed an analysis process that took openly available data on strategic consultancies based in the UK. Using a starting source of around 26 strategic consultancies, which we took from http://www.consultancy.uk. We implemented a series of crawlers that would return organisations and sources connected to these source organisation websites and produced the following maps to summarise the data we found. At this stage, we've used a fairly limited sample - we haven’t taken the searches further to specific organisations or government departments who clearly also care about strategy. The purpose of these maps are to show the utility of mapping network data(particularly for subject matter experts) in the early stages of a plan or strategy formation.
In addition to the sources for strategic consultancy, we were also able to harvest email addresses for different contacts in the organisations. Map 2 below, shows how the organisations broke down into specific email contacts.
How does this context add value?
Such a network analysis of open data allows us to produce a context for who cares about strategy and potentially highlights who could be interested in context brokering as a service. We’ve aimed this study specifically at the UK strategic industry to illustrate how context brokering can be applied to a sector that prizes strategic insights and one that also produces a wide range of rich data on strategy. By mapping out who we believe the ‘players’ are - we have a good start point to work from. We can add more sources and contact details as we find them, but also use these starting sources to gather further data and literature for further contextual analysis, such as topic modelling.
See what you think and if you have any questions about our dataset or analysis, get in touch at email@example.com!