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The In-Database Solution For Data Mining

Wednesday, April 28th, 2010

I got an update on Oracle Data Mining – the in-database solution for data mining and predictive analytics offered by Oracle – recently. They have made ODM available on the amazon compute cloud so you can easily try it and they have been doing some interesting work on a new GUI and on integration with [...]

Increasing Agility And Productivity With In-Database Analytics

Wednesday, April 14th, 2010

SAS has been rolling out its in-database and in-warehouse analytics over the last few months and I thought it was time to get an update. SAS sees its in-database strategy as one way to address some of the challenges in putting analytics to work, especially in high-volume operational environments. In-database analytics can reduce the time [...]

Driving Your Data Through Process Validation Rules

Thursday, September 3rd, 2009

Savvion has just updated their BPMS product and the business rules module they released last year (I reviewed the Savvion BRMS previously). Savvion sees various kind of rules as being necessary for process management – data-driven rules, event-driven rules, conditions in processes, data validation rules and form validation rules. Their vision is to make it [...]

Improving Database Support For Ad-hoc Queries

Wednesday, July 22nd, 2009

Since I last got updated on illuminate (see the first look on i-lluminate) they have been focusing on their business model. While illuminate is a general purpose database they have been focusing on data warehousing as an initial market– with business analytics applications to follow. The data warehouse market has various segments based on size. [...]

XML Based Business Process Management

Friday, June 19th, 2009

I got an update on Vitria for the first time in a few years a little while back. Vitria started back in 1994 with Enterprise Application Integration capabilities and has added Business Process Management, Business Activity Monitoring and ultimately Business Event Management/Complex Event Processing functionality over the last few years. They are using “Operational Intelligence” [...]

First Look: Database Builder Truviso

Wednesday, March 4th, 2009

I got a second chance to chat with the folks at Truviso recently. Truviso was founded after a Professor and his PhD student, at Berkeley went back to the fundamentals of data management and predicated that in a world of highly interconnected objects it would be necessary to eliminate the batch-centric database process of “store [...]

Fully Automated Database Mining With KXEN

Wednesday, February 18th, 2009

I got my first chance to really see KXEN’s product a little while ago and, as I am off to Predictive Analytics World tomorrow, I thought I would blog about it. KXEN was founded in 1998. The product is designed to deliver automated data mining and predictive analytics at a function level – the user [...]

Marty Gubar Talks About Combining Data Mining And OLAP

Wednesday, December 17th, 2008

Marty Gubar presented on Deliver Depper Insight by Combining Data Mining and OLAP. Marty presented on Oracle’s analytic spectrum and how OLAP and Data Mining fit and can be combined. OLAP and data mining are embedded in the Oracle database and share security, the partitioning, ETL etc. All can be accessed using PL/SQL so cubes [...]

A First Glimpse Of Blaze Advisor 6.6

Friday, December 5th, 2008

Blaze Advisor 6.6 is an incremental release to Fair Isaac’s business rules management system that has just become available. As Fair Isaac has used the product more extensively as the basis for its decisioning applications its own experience has driven a variety of useful features and this, combined with the Blaze Advisor team’s usual focus [...]

Charlie Berger Speaks On Oracle Data Mining

Wednesday, December 3rd, 2008

Charlie Berger of Oracle presented on Powering Next-Generation Predictive Applications with Oracle Data Mining (ODM). Charlie joined Oracle from Thinking Machines about a decade ago and have been putting machine learning algorithms into the Oracle kernel. Data Mining, in database or otherwise, sifts through data to find hidden patterns, discover new insights and make predictions. [...]

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