We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Warranty Management – New rules to apply
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > Warranty Management – New rules to apply
Business IntelligenceCRMData MiningPredictive Analytics

Warranty Management – New rules to apply

JamesTaylor
JamesTaylor
4 Min Read
SHARE


Copyright © 2009 James Taylor. Visit the original article at Warranty Management – New rules to apply.

Rob Pritchard of Infosys presented on the power of business rules in warranty. His focus is on agility – most warranty systems are inflexible and hard to change. Organizations cannot make changes to warranty policy to respond to competitors, can’t create what-if scenarios, can’t tighten claims control or pre-valid claims or repairs. These problems come from outdated, disconnected systems. At a strategic level they can’t respond to trends and at an operational level they incur excessive costs and customer dissatisfaction. Some try to fix this by simply re-platforming their old mainframe systems but even replacements, if hard-coded, will still  not handle enough claims or handle them well enough.

Rob’s solution, as mine would be, is to apply business rules management systems to the problem. Rules can be applied at every stage in a claim – for validation, for adjudication, for adjustments, recovery and more. Using a BRMS allows the integration of flexible strategies into the system while allowing business owners to manage the rules, further improving agility. One of the particular advantages for this in warranty was the ability of business users to write rules to handle particular problem areas – focusing on particular VINs or models, for instance.

Rob spent some time discussing how rules can be harvested. A top-down approach looking at processes or use cases, finding decisions and then documenting the rules is one approach. This emphasizes the business language in the rules and maps them nicely to real business decisions but it may not cover all the rules in the legacy system. A bottom-up approach involves code mining either with software or by hand. This can result in overly technical rules but it does ensure coverage of the legacy applications. As you might expect, Rob suggests a hybrid approach using a little of each.

More Read

At an event in its Hawthorne, NY research facility, Big Blue…
The Big Data Analyst’s Skillset
Analytics and the Next Best Activity Strategy
Data Mining: A new weapon in the fight against Medicaid fraud
Pros and Cons: Cyber Command

Rob sees three key areas where rules can help:

  • Tighter warranty controls
    Claims processing is improved because financial limits, detailed coverage types, materials return and more can be automated and rapidly changed when necessary. The rules also allow “what-if” testing and impact analysis.
  • Better built vehicles
    The decision making is tracked very closely thanks to rules so you can analyze specific repair types, specific VINs and so on. More effective parts return and generally better information also contribute.
  • Lower cost repairs
    Rules allow goodwill repairs, labor-only repairs and specific kinds of repairs to be managed very precisely. Rules-driven decisioning can reduce the variation of costs between dealers and help intervene, rejecting or editing claims that seem overly expensive. The ability of rules to deploy data mining and predictive analytics can also really help here.

Clearly Rob and I are on the same wavelength.This was blogged out of sequence.

Don’t forget to check out the white paper I have at decisionmanagementsolutions.com/warranty

Previous Next


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up -- AI-generated illustration
Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up
Artificial Intelligence Exclusive Machine Learning
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026 -- AI-generated illustration
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026
Cloud Computing Exclusive IT
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations -- AI-generated illustration
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations
Artificial Intelligence Exclusive
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026 -- AI-generated illustration
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Why you shouldn’t use JPGs for quantitative charts: a case study

3 Min Read

Social Metrics: Measuring Success

3 Min Read

Travel funding available for UseR! and DSC 2009

1 Min Read

BI contribution to the annual plan

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?