Data Miners

First Look – Quiterian

January 10, 2012

Quiterian is a Spanish company with offices in the US, Mexico and Europe. Quiterian Analytics aims to be complementary to traditional tools for reporting by helping companies get more value from their data sooner. In particular they aim to help companies anticipate the future by providing simple to use predictive analytics and by empowering users while [...]

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First Look – KXEN InfiniteInsight Express

December 6, 2011

KXEN has been building out a series of elements over the past few years – InfiniteInsight™Explorer to create a semantic layer to manage your data layer and create/manage an analytic dataset; InfiniteInsight™ Modeler to automate the process of building predictive analytic models; InfiniteInsight™Scorer to deploy the results of models; and InfiniteInsight™ Factory to “industrialize” or [...]

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First Look – SAS Enterprise Miner 7.1

November 11, 2011

I got an update on Enterprise Miner™ from the folks at SAS recently. Enterprise Miner is their development tool for data miners and predictive analytic specialists and is a graphical environment for designing and executing the steps in the creation of a predictive analytic model. Enterprise Miner 7.1 was part of the SAS 9.3 release [...]

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First Look – Oracle Data Mining Update

August 4, 2011

I got an update from Oracle on Oracle Data Mining (ODM) recently. ODM is an in-database data mining and predictive analytics engine that allows you to build and use advanced predictive analytic models on data that can be accessed through your Oracle data infrastructure. I blogged about ODM extensively last year in this First Look [...]

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Many Kinds of Analytics, One Approach to Maximize Their Value

June 21, 2011

Working with clients it is clear that the interest in analytics has never been greater than it is today. Yet there is still confusion about what analytics means. We have web analytics to analyze logs and clickstream data to optimize websites; data mining and predictive analytics to analyze structured data to segment customers and to [...]

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First Look – 11Ants Analytics

June 7, 2011

I got a chance to catch up with 11Ants Analytics recently. 11Ants Analytics is a spin-off out of the University of Waikato (the source of the WEKA project), and has commercialized technology for automating the production of predictive models. The technology was inspired by research at Waikato – a leading center for machine learning.. 11Ants [...]

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Charting an analytics course to better outcomes with IBM

June 1, 2011

Rob Ashe and Mychelle Mollot kicked off the IBM Business Analytics Analyst Summit 2011. Rob began by pointing out that IBM is just 2 weeks away from its 100 year anniversary. IBM has focused on several themes for its 100 years he says including focusing on the science of information, on reinventing the corporation and [...]

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New Rexer Analytic survey for you to take

April 19, 2011

The new Rexer Analytics data miner survey is out. I recently blogged about the results of the last one and it is definitely worth participating as the survey is a great source of information about the data mining and predictive analytics industry. And don’t forget to tell your friends about it too – send them [...]

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Predictive Models are not Statistical Models

April 11, 2011

A reader of my company’s newsletter recently emailed me and asked me if I could
highlight the difference in how one approaches building a predictive model when compared to more “traditional” descriptive models. And why the approaches are different.
He went on to say that he had
a colleague who insists that developing aggregate statistical models is [...]

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Rexer Data Mining Survey Results

March 8, 2011

Karl Rexer has just released the results from his annual survey of data miners – RexerAnalytics.com/Data-Miner-Survey-Results-2010.html. This year 735 data miners responded to an extended survey. Interesting facts from this year’s results:

CRM and Marketing remain the top focus area with goals like retaining customers and understanding them better coming top also.
Decision trees, regression analysis and [...]

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Predixion, Zementis and Lyzasoft

October 26, 2010

Interesting announcements last week from three companies I have reviewed recently – Predixion, Zementis and Lyzasoft. Predixion has developed some interesting cloud-based predictive analytic technology – tools to load data from Excel and build predictive models from it – while Lyzasoft has a nice collaborative business intelligence environment and [...]

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Teradata – National Australia Bank and next best action

April 27, 2010

National Australia Bank group (a 15 year Teradata customer) presented on their use of Teradata for multi-channel marketing. NAB has 10.9M customers worldwide and about 38,000 staff. Brock Lynch, from the marketing group within the retail bank, gave an overview of their analytical CRM approach. NAB sees its analytical CRM assets as:

Complete customer data stored [...]

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New Rexer Analytics survey

March 30, 2010

Syndicated from BeyeNetwork
I recently got the survey results from the annual data mining survey that Karl Rexer of Rexer Analytics runs. You can get the summary here or the full results from Karl but here are my thoughts:

Data mining is everywhere. The most cited areas are CRM / Marketing and Financial Services with a [...]

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Early results from the Rexer data mining survey

November 23, 2009

Karl Rexer of Rexer Analytics sent me a note the other day about some early results of the 3rd Annual Data Miner Survey in the Spring of 2009.  Like the previous surveys (I blogged about the 2008 survey), it  examined data miners’ algorithms and tools, opinions and views, types of data analyzed, challenges encountered, and [...]

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Some new analytics blogs

November 16, 2009

My partners over at Marketelligence have launched a new blog – http://marketelligent.blogspot.com/ – that should be worth following. Anunay and I are giving a webinar on getting started with your first predictive analytic model – you can register here. I also met Michael Berry, author of some fabulous books on data mining including Data Mining [...]

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Predictive analytics panel at Business Analytics Summit

November 16, 2009

I hosted a panel last week on predictive analytics at the Business Analytics Summit. I was joined by Richard Boire of the Boire-Filler Group, Jean-Paul Isson of Monster.com and Michael Berry of Data Miners (and author of Data Mining Techniques, one of my favorite Data mining books). I asked a series of questions and we [...]

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Top 10 mistakes on data mining – on YouTube!

July 10, 2009

Syndicated from BeyeNetwork
John Elder of Elder Research is well known in data mining circles and speaks/teaches regularly. Not only has John recently released a new book (Handbook of Statistical Analysis and Data Mining Applications), he has now released his great seminar on the top 10 mistakes in data mining on YouTube! Highly recommended for anyone [...]

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The 2009 Rexer Data Mining Survey – A conversation with Karl Rexer

March 4, 2009

Syndicated from BeyeNetwork
I recently had the chance to talk with Karl Rexer, President of Rexer Analytics, about their recently launched Data Miner Survey. This is the 3rd year they have run it and I blogged about the results from last year’s back in October.
JAMES: This is your third year conducting this survey, what new [...]

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The High ROI of Data Mining for Innovative Organizations

February 19, 2009

Syndicated from Smart Data Collective
John Elder presented a collection of case studies to showcase the ROI of data mining. John started by making the point that many of his case studies had technical success but not business success – an interesting statistic. John sees three major ways that predictive analytics can help – streamlining, eliminating [...]

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Data Mining or Predictive Analytics?

January 21, 2009

I have been wondering if “data mining” or “predictive analytics” was the more effective phrase for a while now. I noticed that KDNuggets posted some evidence that analytics is overtaking data mining but like some of the commentators I am not sure this is significant. After all, analytics gets way overused as a stand-alone word. [...]

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