Posts Tagged ‘Data Miners’

4th March 2009

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

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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posted by James Taylor in Analytics, Data Mining | 1 Comment

19th February 2009

The High ROI of Data Mining for Innovative Organizations

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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posted by James Taylor in Analytics, Data Mining, Decision Management | 0 Comments

21st January 2009

Data Mining or Predictive Analytics?

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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posted by James Taylor in Analytics, Data Mining | 0 Comments

2nd October 2008

Rexer Analytics Data Mining Survey Results Released

Karl let me know that the results from his survey are available – you can find them on the Rexer Analytics site – so I thought I would take a look and blog about them. Karl collected 348 responses from individuals in 44 countries and I found the results worth a read. A few highlights:

CRM/Marketing [...]

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posted by James Taylor in Data Mining, Decision Management | 2 Comments

22nd September 2008

Marketing and Customer Segmentation with Xeno

Delivering the best value proposition using segmentation is a multi-step journey with 6 main steps and some critical differences from other analytic approaches:

Define Segmentation Objectives
The first step – deciding why to build a segmentation scheme – is important but often overlooked. Reasons may include declining financial performance, changes in strategy or market trends – the [...]

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posted by James Taylor in Analytics, Data Mining | 0 Comments

7th August 2008

An interesting poll on data miners and PMML

PMML – The Predictive Modeling Markup Language – is the primary XML format for describing predictive analytic models so that a modeling tool can share a model with either another modeling tool or, more usefully, with a deployment environment. The folks over at KDNuggets recently ran a poll asking their readers about their use of [...]

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posted by James Taylor in Analytics, Business Rules, Data Mining, Decision Management | 0 Comments

18th March 2008

Live from DAMA – A Reference Architecture for Integrating an Active Data Warehouse into the Real-Time Enterprise

Stephen Brobst of Teradata was next with A Reference Architecture for Integrating an Active Data Warehouse into the Real-Time Enterprise. He started with a great quote from a Gartner analyst:
No such thing as a business surprise – there is always a warning in advance
but were you listening – did you collect data about it, analyze [...]

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posted by James Taylor in Analytics, BI, Business Rules, Data Mining, Decision Management | 2 Comments

16th October 2007

Book Review: Super Crunchers

Ian Ayres book, Super Crunchers: Why thinking by numbers is the new way to be smart, is another book extolling the virtues of data-driven decision making. In that regard it is very similar to Competing on Analytics. The book focuses in on the power of data mining and other analytic techniques, especially when combined with [...]

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posted by James Taylor in News | 1 Comment

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