predictions

The dangers of scores in decision making

July 27, 2009

Last week I responded to some concerns raised about the dark side of analytics and this prompted a very thoughtful comment from Will Dwinnell who said
My fear is that much of the nuance about what a predictive model is really saying about airline passenger THX1138 is lost, and the security guard at the gate just [...]

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First Look – Dynadec Comet

July 8, 2009

Optimization is one of the core technologies for Decision Management and an increasingly important one as the technology grows to handle more operational problems. Dynadec is one of the new players in this space and has what it regards as a game-changing optimization platform (Comet). Their intent is not simply to provide a new optimization [...]

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The answer to too much information and limited understanding is decision management (not experts)

July 7, 2009

Syndicated from BeyeNetwork
The Evidence Based Management blog had a post on Why experts are so often wrong that discusses a book by Philip Tetlock (Expert Political Judgment: How Good Is It? How Can We Know?)
In a world filled with expert predictions that are mostly incorrect, and filled with people who eagerly seek such predictions even [...]

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Here’s how to prevent mistakes in analytic projects with decision management

June 8, 2009

Syndicated from ebizQ
Robert Grossman had a nice post – Five Common Mistakes in Analytic Projects that made me think about the role of decision management in putting predictive analytics to work. Of Robert’s 5 mistakes, 3 are directly addressed by decision management:

There is not a good plan for deploying the model
Because decision management is focused [...]

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Data is still defensible

May 13, 2009

Syndicated from BeyeNetwork
In Is Data a new defensibility? Abhishek Tiwari argues that even data is not defensible any more. He argues that data integration and the use of new sources of data are key skills but that companies cannot use unique data to differentiate because there is too much data and too much of it [...]

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First Look – SPSS PASW Decision Management Solutions

May 1, 2009

SPSS Inc. likes to say they focus on helping customers capture all the information they need, predict outcomes and then, using their Decision Management products, act on these insights by embedding analytic results into business processes. Within this family, the PASW Decision Management tools add actions, business rules, to analytics to enable action to be [...]

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First Look – SPSS Predictive Analytic Software 13

April 6, 2009

Today SPSS Inc. announced new product releases and new naming for its product families. Predictive Analytics Software (PASW) is the new umbrella and the four families are layered below this. The four families are Data Collection, Statistics, Modeling, and Deployment. This week’s enhancements are to the modeling family. In addition, Clementine becomes PASW Modeler 13 [...]

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Customer Stories from the SAS Global Forum

April 1, 2009

Syndicated from BeyeNetwork
Last week I posted a couple of times about my impressions from the SAS Global Forum. In one post I said that “SAS customers talk about the great results they get when they put their predictive analytics to work in operational systems” so I thought I should expand on that a little, using [...]

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IBM and ILOG – Thoughts on Jerry Cuomo’s WebSphere Top 10

January 24, 2009

Jerry Cuomo has been talking about WebSphere in 2009 and he published his top 10 list on his blog  WebSphere: Into the wild BLUE yonder!.

Business Mash-ups
Business Rules
Middleware-as-a-Service
Rainmaker
Extreme Scale
WAS.NEXT
Restful – Agile
DataPower-lution
POWERful Middleware
Industry-savvy Middleware

He expanded this list with some additional thoughts in an article on InfoQ. Serveral of these – business mash=ups, business rules, Middleware-as-a-Service and Agile [...]

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Scenario Testing, Stress Testing and Decision Management

January 15, 2009

With the business world in a state of flux and everyone worried about what might happen next, and how they might respond to it, scenario testing (and its compatriot, stress testing) should be top of mind for executives. They should be thinking about different scenarios, testing out how those scenarios would effect their business and trying out various alternatives. On the risk side they should be using this kind of scenario planning to stress their assumptions – stress testing – to see how their financial reserves would cope with the various alternatives.

For too many executives, however, this kind of testing is done only at the aggregate level and done largely (if not completely) in Excel. I have nothing against Excel but this is clearly not really acceptable. Good scenario or stress testing should consider how customers, products, suppliers, locations will be impacted by the scenario at a granular level and then present rolled-up results, not simply attempt to model some averages or totals. Similarly, if executives want to develop alternative scenarios that would be effective in certain possible futures then they need to test those scenarios against actual transactions, actual customers, to see if they work.

Companies that have adopted decision management have the infrastructure to manage this. Decision management brings the crucial decisions – choices of actions – into the open and makes them explicit. Scenarios can be developed for these decisions and tested against real data. The results can be compared against what happened, or against alternative scenarios to see what would work best. Different assumptions can easily be fed into the decisions to see what impact those assumptions have and stress testing or scenario development conducted based on the results. Decision management makes all this possible. It’s still work, but it is much less work and the results can be much more precise and grounded in real decisions.

A growth in scenario management was one of my predictions for 2009 and Jim Sinur wrote a nice piece on this too – Scenario Planning is No Longer Optional.

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Predictions for 2009

December 18, 2008

I just went back to check and found no predictions on the blog for 2008 (so I get a 100% accuracy rating with no errors) so I thought I would make some for 2009. In no particular order then:

Cloud computing will impact decision management.
There are already at least two decision management vendors offering decisions in [...]

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Fraud Detection with Oracle Data Mining

December 3, 2008

Charlie Berger and some others presented on using data mining for fraud detection. Fraud is a huge issue – for instance there is $31B annually in insurance claims fraud (10-15%) with 25% of all claims have some fraud and more than 1 in 3 bodily-injury claims from car crashes involving fraud. Other industries have similar [...]

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Intelligent OLAP: Data Mining and OLAP

December 3, 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 [...]

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Powering Next-Generation Predictive Applications with Oracle Data Mining (ODM)

December 2, 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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Using Decision Management for Customer Retention

November 10, 2008

CRM Daily had a nice little article on Customer Retention that reminded me of the example I often use for how the elements of decision management contribute to more effective customer retention decisions. Large organizations spend vast sums on retention – one bank, for instance, spends $1Bn annually – and retention is a perfect candidate [...]

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Predictive Marketing (Lessons from the CMO Summit #3)

September 9, 2008

Stephan Chase of Marriott generated the third set of thoughts. He is working to make Marriott more customer-centric, in particular by employing predictive modeling to determine what customers are likely to do in the future while using results in marketing to create a learning organization. This is of course the heart and soul of decision [...]

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Analytics simplify data to amplify its value

September 2, 2008

Analytics simplify data to amplify its value
This was a phrase I remember from my friends in the Fair Isaac R&D team. I have no idea if this is original or a well-known analytic quote but I like it. Think about it, most business users would say they want usable, actionable information not just data so [...]

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First Look – Tibco ActiveMatrix Service Performance Manager

August 8, 2008

I got a briefing this week from my friends at Tibco about their Service Performance Manager product released a couple of months ago. The product is a big step along the road to what some call “autonomic computing” in that it provides dynamic and automated monitoring and correction of service levels in a service-oriented world.
The [...]

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Transpromotional marketing with EDM

July 18, 2008

Transpromotional marketing – yes, another new phrase that I heard for the first time this week. Wooing Customers in a Weak Economy was the source – an article on 1:1. Chris Stone wrote the article and it talks about the need to use different channels to contact customers and to do so consistently and in [...]

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Here’s why decisions matter to the 8 Ps of Marketing

July 7, 2008

Some time ago I saw an article that discussed the 8Ps (4 old, 4 new) of Marketing. It seemed to me that decision making, especially operational/transactional decision making is critical to most of these Ps. Here, then, is my summary of the 8Ps and why decisions, and decision management, matter.
4 Ps

Product
You might think that [...]

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