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in-database analytics

IBM SPSS has been supporting in-database analytic modeling for a while now. Their objective is to make it possible for analysts to run the complete data mining process end-to-end in-database – from accessing the data to data transformation and model building/scoring. In particular, they try to enable analysts to push data transformation and data preparation [...]

Update – Zementis

I got a chance to catch up with Zementis. I last got an update from them on the product back in May 2010 when they released 3.0 with their support of Drools as well as PMML. Zementis is reporting good momentum with large customers such as the US Army and Verizon as well as a [...]

We got a quick overview of SPSS Decision Management (see my post on SPSS DM 6 or indeed the whole blog for my view of this). SPSS Decision Management combines predictive analytics, business rules and optimization/simulation to optimize high volume decisions like “should I search this car at the border” or “should I investigate this [...]

Deepak Advani kicked off day 2. SPSS was acquired by IBM in 2009 and, like all acquisitions, has to report on how well it has met the expectations set at acquisition time. SPSS has beaten every target set for it at acquisition and reviews have apparently been a “bit of a love fest”. SPSS has [...]

One of the hot topics these days in analytics is “in-database” or “in-warehouse” analytics. I have blogged about multiple products in this space including the work SAS has done with Teradata, Aster, DB2 , Netezza  and Greenplum, the work Revolution Analytics has done with Netezza, Angoss and FuzzyLogix (described in this report). With all this [...]

Bill Gassman spoke on the role of Business Intelligence – BI – in process improvement. Bill means “big BI” – everything to do with intelligence about your business, the discipline of BI and analytics, not just a “BI” product. The road to intelligent operations he says has “haves” and “have nots” – some have BI [...]

Revolution Analytics and Netezza have recently announced a partnership. Netezza has a strong history of being associated with customers that are focused on “big data” problems and advanced analytics. As a result they have been delivering in-database analytics to bring these analytics closer to the data. Their approach allows customers and partners to bring Java, [...]

Update – Angoss

I got an update from Angoss recently. It has been a while since I was updated on the product – I last blogged about 7.0 which was the last major release. 7.5 is an upgrade from this version –a maintenance release – with 7.6 planned for the end of 2011 and 8.0 due out around [...]

Carl Farrell came up to talk about sales enablement and execution. 2010 was an interesting year in the Americas as the recovery was very inconsistent between countries in the Americas and across verticals. Strong growth in First Year Fees – 21% in US, 15% in Canada and 56% nearly in Latin America (with the Southern [...]

I caught up with SAS recently to discuss their high-performance computing products. SAS’ high performance computing products are designed to address some known customer challenges such as underutilized computing resources, rapidly growing data volume and complexity, unnecessary data movement, and slow time to results because underlying hardware infrastructure is maxed out. Add in a general [...]

An Update – SAP BI and EIM 4.0

It’s been a while since a major release of BusinessObjects/SAP BI so 4.0 is a big deal – over a million person hours invested. SAP’s overall focus is to help companies “run smarter” and obviously the work on BI 4.0 has to be part of this overall environment – how do analytics help companies run [...]

First Look – Calpont InfiniDB

I got my first chance to catch up with Calpont recently. Calpont is a privately held company based in Frisco TX with 25 employees. They have been developing their analytics database technology over the past 2.5 years. InfiniDB Enterprise is the commercial product released in February 2010 and InfiniDB GPL version was launched in October [...]

First Look – Aster Data

I listened in to the Boulder BI Brain Trust briefing from Aster some weeks back and then got a follow-on update last week. Aster was founded in 2005 based on research performed by a team at Stanford. The initial plan was to develop a data management platform based on commodity hardware and this was released [...]

There have been a number of twitter conversations around the recent SAP/Sybase news that make me want to write more than 140 characters in response. These fall into three main categories: Does the announcement have an impact on those considering decision management strategies What, exactly, do mobile workers need and does Sybase deliver this for [...]

Thomas Tileston of Warner Bros Home Entertainment (DVDs, games and digital distribution part of Warner Bros) was next talking about their use of SAS and Teradata. He started with a little history as he has been using SAS for 20 years or so. In the early days analytical data set preparation was 70% of the [...]

Teradata Database 13.10

Todd Walters introduced the new release – 13.10. Not every feature is equally interesting to me but a couple were important to note: One of the key features in the new database release is the support for temporal tables. Default for a temporal table will be to show only current records. But you can ask [...]

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 [...]

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 [...]

I just heard from a colleague that you can check out Oracle’s Data Mining tools on the amazon.com compute cloud.  The Oracle Data Mining development team has set up an instance for prospective customers who want to try the in-database data mining algorithms via SQL/Java APIs or the Oracle Data Miner user interface. You can [...]

Syndicated from BeyeNetwork My co-author on Smart (Enough) Systems, Neil Raden, has written a great white paper on in-database analytics that is available from Sybase – Analytics from the start. This paper introduces the key concepts, discusses some of the key issues (our book contains more tips in this area) and describes some strong case [...]