Posts tagged as:

predictive model

Thoughts on Pega acquiring Chordiant

March 15, 2010

The news today is that Pegasystems (rules-based business process management) is acquiring Chordiant (decision-centric CRM). This is interesting news as it merges a company (Chordiant) with a very decision-centric/decision services separate from process mindset with one (Pega) that has mixed rules and process together much more.
Chordiant have been one of my companies to watch for [...]

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Predictive analytics – some tips

March 5, 2010

Syndicated from BeyeNetwork
In a great post on 8 things to keep in mind on predictive analytics, some folks from Diamond Management & Technology laid out some things to keep in mind that I really liked. Here they are with my comments – you can get more detail on each from the series of posts [...]

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In-database analytics – a white paper

February 25, 2010

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 examples. [...]

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Two more analytics jobs

February 22, 2010

I recently spoke to an interesting company getting serious about analytics and looking for some staff. Drop me a line james@decisionmanagementsolutions.com if you are interested and I will forward your resume along:

Data Mining / Analytics Business Analyst
Senior Business Analyst with data mining and predictive analytics experience to lead the establishment of a decision support system [...]

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First Look – eBureau

February 22, 2010

eBureau is a predictive scoring and information service provider founded in 2004, focused on technology for very rapid model development and deployment. Using their own purpose-built modeling software, a small group of modelers developed 900 predictive models in 2009 alone. The company has been applying this capability for real-time and interactive marketing like contact centers, [...]

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First Look – FICO Xpress and Business Rules

February 17, 2010

Optimization is a mathematical process for finding the best decision for a given business problem – usually highest profit, lowest cost given a set of constraints. Involve applying an algorithm to data, decision variables, constraints and an objective function. In financial services and insurance optimization is still fairly new (unlike, say, supply chain) but the [...]

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Protecting the most vulnerable #pawcon

February 16, 2010

John McConnell of Analytical People presented on the use of analytics in the UK’s transition to digital TV. This is being rolled out region by region, trying to improve the process each time. Several regions have been converted already. There is a group of people, in the UK as in other countries, for whom TV [...]

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SPSS on what your customers tell you #pawcon

February 16, 2010

Eric Brethenoux of SPSS was up next talking about analytics using what your customers tell you. Customer segments are inherently blurred because they are a composite. Identifying the people behind a segment is hard and increasingly more difficult as the number of brands, devices, channels, media and social networks are exploding. And people have multiple [...]

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7 Innovative uses of analytics #pawcon

February 16, 2010

Eric Siegel’s keynote focused on new and innovative uses of analytics – asking the audience to focus on their most expensive operations, their greatest operational risks, their critical operational decisions.
Predictive analytics, he says, is a business intelligence technology that produces a predictive score for each customer or prospect – something scoring their risk of fraud, [...]

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Risk by risk – a decision-centric approach to risk management

February 15, 2010

Syndicated from Smart Data Collective
Risk management is an important topic for many organizations, especially those in financial services. Most of these organizations acquire risk one customer, one transaction at a time – this customer is not going to be able to pay (risk), this transaction is fraudulent (risk), this deal will [...]

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Coming soon – Predictive Analytics World

February 2, 2010

Syndicated from BeyeNetwork
Predictive Analytics World, February 16-17, 2010 at the Palace Hotel in San Francisco is turning into the biggest yet. I am going to be speaking on analytic journeys and giving a workshop on putting predictive analytics to work and there are some great keynotes from Andreas Weigen (ex-amazon.com), Kim Larsen (Charles Schwab) and [...]

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First Look – SAS Real Time Decision Manager

January 19, 2010

SAS Real-Time Decision Manager (RDM) is designed for inbound communications, complementing outbound communication solutions. It aims at real-time delivery of decisions and recommendations during a customer interaction to optimize that interaction to improve revenue, growth and retention. For example, in retail banking, a customer might come in with a new job with very different income [...]

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First Look – Aha

January 14, 2010

I got a chance to catch up with Aha! recently. Aha! is based in the Denver Tech Center and was founded back in 2006. Aha!’s premise is that it is now possible to build analytics into a platform and to focus on how to operationalize predictive models and deliver analytics within business processes. Initial customers [...]

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First Look – Dulles Research Carolina

January 14, 2010

I recently met the folks at Dulles Research, a scientific computing outfit focused on analytic solutions for enterprise software. The folks who founded Dulles had previously worked at Marketswitch (focused on large scale optimization and sold to Experian in 2004) and have a long history of working with companies who are serious about using analytics [...]

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First Look – Scorto

January 5, 2010

I caught up with a new (to me at least) decisioning platform recently. Scorto works with credit organizations to manage credit risks and make objective decisions when selling mass credit products. They offer what they refer to as decision support (but I would call blended decision management and decision support) in everything from personal/small commercial [...]

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A predictive enterprise

December 18, 2009

Syndicated from ebizQ
I was reading an old SPSS presentation the other day and found a great definition of a Predictive Enterprise:
A predictive enterprise:

Derives maximum value from its data assets
Understands its business by gaining deep insight
Leverages advanced analytics to predict outcomes
Turns this knowledge into action to optimize decision making across all areas of its operations

I [...]

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Predictive analytics – in Excel of all places

December 10, 2009

Syndicated from BeyeNetwork
My friends at Zementis have just launched support for executing predictive analytic models in Excel – check out Predictive Analytics at your fingertips: Scoring data in Microsoft Office Excel. While not, exactly, a high-volume transaction environment, Excel is an interesting place for executing predictive models and I like the way the folks at [...]

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New IBM study on business analytics and optimization

December 9, 2009

IBM today released a new report on the progress companies are making adopting business analytics and optimization. The paper is called “Smarter decisions for optimized performance” (love it) and focuses on how companies are using analytics and optimization to “breakaway” – a sports analogy such as where a cyclist breaks away from the pack not [...]

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First Look – SAS Enterprise Miner/Model Manager

December 3, 2009

The folks from SAS gave me a quick update the other day on SAS Enterprise Miner and SAS Model Manager, two of SAS’ data mining/predictive analytics products. I often blog about SAS, as you would expect, but I have not done any product posts. SAS’ Business Analytics Framework is focused on helping organizations find the [...]

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Pervasive predictive analytics

November 20, 2009

After posting on the 10 analytic truths/myths earlier today I was reminded that I had not posted about Fern Halper’s post: Is it Possible to Make Predictive Analytics Pervasive?. I enjoyed Fern’s post and meant to blog about it but then got distracted. She makes the key points well – we increasingly do not need [...]

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