Posts tagged as:

fraud

Designing performance measurements to identify and reduce warranty waste

March 12, 2009

Doug Maddox discussed how Chrysler has worked on warranty waste and performance measures to help prevent and eliminate it. In the past, Chrysler had relied on Expense per Unit Repaired to monitor dealers but this was easily manipulated (high cost repairs could be hidden) and it drove adverse behaviors because dealers would refuse to perform [...]

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Taking the question out of questionable claims

March 11, 2009

Jeff Moore from General Electric and Greg Spraker from SAS (see my review of the SAS Warranty product here) spoke on using analytics to find and eliminate fraud in claims. GE’s appliance division dealt with paper claims prior to 2003 and randomly selecting claims for audit. Between 2003 and 2005 they increased the number of [...]

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First Look Tavant

March 6, 2009

Some weeks back I got a review on Tavant, a 700 person IT services and solutions company with a focus in financial services (mortgage, trading and security), ebusiness and Service Operations such as warranty management. I was interested in their warranty product as part of my research into the warranty claims space. The product – [...]

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Here’s what different in next generation warranty systems

March 5, 2009

Continuing some posts on next generation warranty systems in the build up to speaking at the Warranty Chain management conference I thought I would contrast how current generation warranty systems handle critical decisions with how next generation systems do so.

Decision
Today
Next Generation

Is Claim Valid?
Data validation rules are coded into the user interface that captures [...]

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Some thoughts on Next Generation Warranty Systems

March 2, 2009

I am going to speaking next week at the Warranty Chain Management Conference (registration is still open) on Next Generation Warranty Systems. I hope to post a couple of product reviews (like the SAS Warranty one already posted) this week but I thought I could also talk a little about my topic.
The basic premise is [...]

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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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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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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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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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DIALOG Keynotes – ILOG and IBM

February 4, 2009

Pierre Haren started up the keynotes with some personal comments about the excitement of being part of IBM, seeing more customers at DIALOG and hearing stories from customers about what they are doing with ILOG products. He is clearly enthused by the opportunity to reach more companies by being part of IBM than they ever [...]

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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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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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First Look – Predigy

November 20, 2008

Predigy is a technology originally developed by Intelligent Results (founded in 2001) that was acquired by First Data in 2007. It was originally focused on the military (particularly on the analysis of unstructured data) but has subsequently moved into commercial applications. Predigy is now a decisioning platform with some applications in banking, collections, telecommunications and [...]

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Evidence-based (decision-centric) CRM Processes

October 22, 2008

Graham Hill wrote a piece on Evidence-based CRM that focused on evidence-based CRM programs and it made me think about evidence-based CRM processes.
To me, evidence-based CRM means customer relationships, and thus customer treatments, that are based on evidence (data) and not judgment, hope, guesswork etc. It means

making offers that you have evidence this customer will [...]

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First Look – SeeWhy

October 7, 2008

On my recent trip to Europe I got my first chance for a real look at SeeWhy’s product and their announcement today of SeeWhy Tracks Individual Customers’ Digital Mood seemed like a good reason to blog a little about this interesting product. The latest version helps manage customer experience by analyzing page errors, page load [...]

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Using decision management for Governance, Risk and Compliance

August 20, 2008

A reader asked me to blog about GRC – governance, risk and compliance – this week and, in particular, the difference between IT governance and true business governance or what is broadly known as GRC. I have been thinking about this and will write some more posts when I get back from vacation but, for [...]

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If you were making a “3-minute promise” would your systems help or hurt?

July 25, 2008

The folks at CustServ had a piece on The 3-Minute Promise to Avis Customers that made me think. If you wanted to make a similar promise – that some process of yours would be quick, efficient, flawless and seamless – would the systems you have help you or hurt you?

Would your systems be able to [...]

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Credit Scoring in Healthcare. In Healthcare!

July 24, 2008

I saw a post today on medical credit scoring that made me think I should post something about how credit scoring can be used in healthcare. Now saying that, of course, makes everyone nervous – are we talking about refusing people treatment because of their credit score? Why should financial questions like credit worthiness have [...]

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