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.

While the new features contained in the integrated product are built on top of the IDOL platform, it is not the first time that HP has used IDOL with TRIM. In December last year, it integrated IDOL with TRIM 7.2 and in retrospect it appears to have been building up for this release.

While there is massive functionality available in the integrated solution, globally what it does is use ContolPoint to identify content and data that should be classified as business records and, when necessary, send that content as records into TRIM.

Using some of its native functionality, ControlPoint can apply polices across multiple repositories and in doing so, do away with the need to either duplicate data, or even trickier again, move data. The result is that both the storage costs and work involved in managing the content is radically reduced.

Siloed approaches to managing content have not really worked, Carmel and Gould argue. Most applications can only manage content from a single system in enterprises where many different systems have already been deployed. Most struggle to deal with the vast amounts of information that enter enterprises through email, or social media (to name only two of the most cited problem areas in enterprise content management).

The result is that even with all the enterprise content management systems available in enterprises, many companies are being forced to govern millions of data elements manually, creating headaches not just because there are massive compliance implications, but also because content that is not managed or that is being randomly stored around the enterprise is not useful content.

If this has been a problem up until now, mismanaged content is going to become more and more of an issue as more competitors turn to big data sets to extract meaning, or use customer experience software to provide an edge over competitors. In the future, mismanaged data is not going to be a nuisance, it’s going to be a survival issue.

Autonomy and HP Information Governance_SharePoint.jpg

Autonomy Information Governance example: SharePoint
 

HP Application Information Optimizer 7.0

The third release that HP has announced today is HP Application Information Optimizer 7.0 (AIO). It has the dual purpose of reducing the amount of data stored in a system by as much as 48%, and helping enterprises with compliance issues.

AIO specifically deals with the build-up of structured data in databases, which becomes not only difficult to find and clear, but because of the space it occupies, impacts on application performance badly.

Of course there is also the huge cost of storing this information, as well as the cost of keeping obsolete applications running past their prime.

HP AIO directly addresses these problems by removing data that is not currently being used and placing it in safe, but more economical storage, or even cloud storage environments.

Its archiving modules can also be used with a whole list of enterprise applications like Oracle E-Business Suite, PeopleSoft and Siebel, with an integrated data extraction wizard quickly extracting data from any industry-standard relational database to enable application retirement or data archiving.

Both Control Point 3.0 and TRIM 7.3 were unveiled today the ARMA conference in Chicago. The Application Information Optimizer is also available as of today too.