It’s just over a year since HP bought Autonomy for US$10. 2 billion. While HP has been adding Autonomy’s IDOL to some of its software, it never really gave the impression that it had a fully developed IDOL integration strategy. That is until today with the announcement that HP is adding IDOL to some of its existing software to tackle both unstructured and structured data.

HP, Autonomy, IDOL

It’s not that HP hasn’t been using Autonomy since the buy-out in August 2011; IDOL is about information management, and HP has used IDOL for big data analysis, and has pushed it into the customer experience space. But there is still a way to go before it achieves its full potential, an observation that was made by Meg Whitman herself during HP’s Q3 figures release when she said Autonomy needed ‘attention’.

Clearly when she said that she had this set of releases in mind because they come only a few weeks after the figures, which means they must have been close to ready at the time of the Q3 call.

The difference here, though, between these releases and previous HP-IDOL releases, is that combined they look like a planned strategy rather than the piecemeal application of random software to a particular problem.

Before the release, Dan Carmel, Head of ECM Strategy and Solutions at Autonomy, and David Gould, Director, Global HP TRIM Business and Records Management SME talked to CMSWire and explained that with these updates, HP is looking to become the top dog in the  information management space. While many companies have set themselves similar goals in the past, this claim has the IDOL factor behind it.

Let’s be clear as to what exactly IDOL is, because it is at the core of all this. Currently in v10, IDOL is a processing layer that enables users to extract meaning from all kinds of content including video, social media, email and web content -- the common link here being that they are all forms of unstructured data.

In this version, it also combines Autonomy’s infrastructure software for understanding data with the real-time analytics engine for extreme structured data analysis that HP acquired when it bought Vertica some 18-monthsago.

Autonomy Information Governance Framework.jpg
Autonomy: Information Governance without HP


Autonomy and HP Information Governance Framework.jpg

Autonomy: Information Governance Framework with HP

HP-Autonomy TRIM 7.3, ControlPoint 3.0

There are three releases today from HP and all built around Autonomy. According to Carmel and Gould the idea with the upgrade to HP’s TRIM to 7.3 and the release of Autonomy ControlPoint 3.0 as an integrated solution is to offer enterprises the ability to manage and govern both structured and unstructured content no matter what format that content is in, or where the data is located.

This is a solution that will not only manage data and understand the meaning within that data, but will also, using that understanding, apply a governance policy across the entire organization built on the meaning and relationships identified by IDOL.