From the category archives:

Data Mining

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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SAS Warranty Solutions First Look

February 26, 2009

Some weeks ago I got a chance to review the SAS Warranty Analysis product. I was doing some due-diligence before my speech on “Next Generation Warranty Systems” to the Warranty Chain Management Conference in April.  The folks from SAS began with an Aberdeen quote from 2006:
Warranty analytics is the number one differentiator between Best in [...]

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Some thoughts after attending Predictive Analytics World

February 24, 2009

Syndicated from b-eye network
Last week I was at Predictive Analytics World, a brand new show on the business value of predictive analytics. The show was a great success, I think, as it attracted a decent audience in very tough times and succeeded in bringing together not just those building predictive analytic models, but also those [...]

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Expert Panel on Challenges and Solutions

February 20, 2009

Syndicated from Smart Data Collective
This session was a panel discussion on the cross-industry challenges and solutions in predictive analytics. Panel sessions are tough to blog so here are some highlights.

More and more analysts are having to do their own extract, transform, load work to access databases so having modeling tools that handle this, rather than [...]

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New Challenges for creating predictive analytic models

February 20, 2009

Syndicated from Smart Data Collective
Khosrow Hassibi of KXEN and Will Tangalos of Wells Fargo presented together on the challenges of predictive analytics in the real world and on Wells Fargo as an example of how some of these challenges can be met. Khosrow began with an overview of the basic predictive analytic tasks:

Understand the business [...]

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High-Performance Scoring of Healthcare Data

February 19, 2009

Syndicated from Smart Data Collective
Natasha Balac from UC San Diego and Michael Zeller from Zementis (their product was blogged here and their support for the amazon.com compute cloud was discussed here) presented on the use of Medicare and Medicaid data to detect and prevent fraud. The high computing center at UC San Diego (San Diego [...]

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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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SAS and the art and science of better

February 19, 2009

Syndicated from Smart Data Collective
Anne Milley from SAS, one of the sponsors of the show, spoke on the art and science of better. Data is often messy and the enterprise is not a lab. Nevertheless, she says, we can still bring science to bear. We can observe, define, measure, experiment, learn and ACT. Anne had [...]

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5 ways to reduce cost with predictive analytics

February 19, 2009

Syndicated from Smart Data Collective
I am blogging live from Predictive Analytics World on behalf of SmartData Collective. Hopefully there will also be some podcasts. First up is Eric Siegel, program chair and President of Prediction Impact for the event.
Eric defines predictive analytics as “business intelligence” technology that produces a predictive score for each customer or [...]

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First Look – KXEN

February 17, 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 [...]

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Analytics run amok?

February 3, 2009

Joe McKendrick pointed me to a story on ABC News today -  ‘Good Morning America’ Gets Answers: Some Credit Card Companies Financially Profiling Customers. The story is worrying and has some good reporting in but, as usual, the analytics behind the whole thing are poorly described.
So, first things first. The headline gets us off on [...]

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IBM and ILOG for a smarter planet

January 27, 2009

One of IBM’s big initiatives is their focus on a smarter planet. One of the ways IBM could really use ILOG is to make the construction of smarter systems (or smart (enough) systems) easier and faster. To illustrate what I mean I took some quotes from Sam Palmisano’s Smarter Planet speech
our world is becoming instrumented

Absolutely [...]

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Decision Management and some top CRM processes for a cost-constrained economy

January 22, 2009

A press release caught my eye recently on CRM – Gartner Identifies the Top Six CRM Marketing Processes for a Cost-Constrained Economy. Two of the six processes Gartner identified seem to me to require decision management to be done well.
1.Retention Management
Retaining high value or potential high-value customers is essential in difficult economic times. Gartner advises [...]

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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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Mr Obama, smarten these systems!

January 20, 2009

Like millions of my fellow Americans I listened to our new President today. As I did I was struck by the opportunities for decision management to deliver the smarter systems that will be critical with some of the priorities President Obama laid out in his speech. There were four commitments he made that struck me [...]

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With Data Mining you can even scare Walmart…

January 16, 2009

BusinessWeek had an interesting article in December about the growth of Tesco, a British grocery chain, and on its use of data mining as a competitive weapon. Here’s a quote:
Analysts say that Tesco’s big advantage over major international rivals, which also include Germany’s Aldi and Lidl, is its unrivaled ability to manage vast reams of [...]

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First Look – Mobile Agent Technologies

January 14, 2009

Mobile Agent Technologies ( www.agentos.net) is an early stage start-up offering an integrated platform for decision automation- Einstein Enterprise. This combines and integrates various technologies typically sold separately, like business rules and analytics, and is intended as a horizontal product for the automation and management of decisions.
Einstein Enterprise is Java-based and combines open source and [...]

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Using decision management to manage risk

January 12, 2009

The Forrester Blog For Information & Knowledge Management Professionals had a nice post on The Growing Importance Of Enterprise Risk Management. One of the key points was this one:
2) They will focus on driving risk management into business decisions. Risk management is not new. Enterprises have internal auditors, Chief Risk Officers, and others responsible for [...]

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Making Better Business Decisions in 2009

January 7, 2009

Tom Davenport had an interesting post for 2009 – The Year Ahead: Make Better Decisions – and it prompted me to highlight a couple of things you should definitely be planning to do in 2009.

Make a list of the key decisions that drive your business
Conduct a decision audit, or hire me to, so you know [...]

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Predictive Analytics are important no matter what IBM thinks

December 19, 2008

Doug Henschen had a blog post on IBM today that caught my eye – Will IBM Add Analytics to its Toolbelt? in which he quoted Ambuj Goyal (who heads up information management at IBM) as saying predictive analytics are overrated. Sadly this reminded me of the old days of IBM – when FUD (fear, uncertainty [...]

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