Attivio announced the third version of its Active Intelligence Engine (AIE) unified data platform, which, just like the previous two versions, focuses on unstructured data.  The offering aims to supplement big data analytics by providing users with means to access company data while providing all the functionality required for the given task.  Search queries and dashboards tailored to specific roles and access-level are two examples of this sort of user-driven delivery.

“Attivio AIE 3.0 takes unified information access to a more personalized level by supporting the right access method for every enterprise user. We are thrilled when we see our customers achieve results that improve financial performance, reduce overhead, drive new product innovations, and reduce time to market,” said Sid Probstein, Attivio’s CTO.

The latest version builds on top of the platform’s existing features by adding ODBC drivers and full SQL support, allowing AIE to integrate with popular BI applications including SAP Business Objects and Jaspersoft.  This enables customers to add unstructured analytics to their existing BI infrastructure.

In addition, users can now create analytic dashboards leveraging their data, integrate with a number of mainstream productivity apps and access a simplified “Google-like”
search engine. Another bonus; Attivio also added schema-less design to speed up  database programming.

Attivio put an emphasis on simplicity with AIE 3.0, a certain focus when they teamed up with Search Technology, a company that optimizes enterprise search implementations.

Simplicity is big in the big data world, in just about every area. That includes advertising,  and SkimWords 2.0. The offering adds a bit of automation into affiliate marketing, and the second version expands that by delivering price comparisons based on phrases found within a given webpage.  Gleaning the right data with a simplified interface is something the enterprise and the advertising sector can benefit from, demonstrating yet again the widespread potential of big data analysis.