I mentioned that I would cover some more of the detail of Kopke's technology direction. Well, here we go.
The first of the announced futures for additional features/ functions and tech in the Hyperion BI platform is:
Business Language Search
The tagline for this is 'easy as Google'. It's not Google, but apparently it doesn't have to be. What information I was able to make sense of is that there is, within the metadata of templates built for reporting, all of the keywords I need to get high reliability hits on English language queries. I basically asked Kopke if he had heard of or was scared of the Cognos - Google announcement and the answer was a resounding no. Of course what else would he say? Well he said that Hyperion had been there and done that with another search vendor and several years ago and had learned some lessons, and that these would be applied to the new stuff.
At R&D Central, this function was demonstrated in a fairly raw form, but the big slides at the opening session presentation were not simple smoke and mirrors. There is an ability for Hyperion stuff to execute OneBox style queries with thumbnails of analyses to the left of text describing the template. I'll see if I can get a screenshot for you. It looks good.
Tangentially, my old pal & mentor Dyke Henson who runs marketing over at SPSS is looking at search from a different perspective. The core at the center of these are ontologies, which I'm tripping on these days. So here's the deep dive:
SPSS is giant steps ahead of most folks when it comes to data mining and predictive analytics. They have a set of advanced tools that they are going to package around 'Predictive Analytics' and drink up the web. Then they'll use their advance mining techniques to find outliers in influence. So what had gone before with regards to attention in print media and banner ads is now going a level deeper with regard to say... link maps in the blogosphere which are subject specific.
The key to both of these are ontologies. As far as Hyperion is concerned, it's a done deal. They already know the universe of masterdata that is queriable, and the end result is already templated in terms of the objects which will be queried live when the user selects a thumbnail. So that search problem is not very big, and Hyperion will add value with item number two which I'll cover separately. Adding an ontology to this which is searchable shouldn't be too difficult, and metrics about who queries what will be readily available. In a search universe of an enterprise set of say 4000 concurrent users.. it's a peice of cake.
For Dyke, the problem is a bit more daunting because user-defined ontologies (oh did i not dumb that down - hierarchy of keywords for categorizing content) are fuzzy. You know how when you misspell a word at Gogle it ask 'did you mean Google?'. That problem. So when you are processing a huge segment of the web, or even top dogs in the blogosphere the various tags that people might use could be insufficient and poorly managed. So they have a little bit of a stickier problem, but I have confidence that they'll get a handle on it. Can I say that with a .42 assurance? Yeah, I guess.