Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Quality and warranty cost reduction strategies
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 > Quality and warranty cost reduction strategies
Business IntelligenceCRMData MiningPredictive Analytics

Quality and warranty cost reduction strategies

JamesTaylor
JamesTaylor
4 Min Read
SHARE

Copyright © 2009 James Taylor. Visit the original article at Quality and warranty cost reduction strategies.Jim Johnson of IBM gave IBM’s point of view on quality lifecycle management. Jim works in Global Services and works with auto and truck manufacturers. IBM’s research shows:

That warranty reserves accrue at between 1% and 3% of sales and this […]


Copyright © 2009 James Taylor. Visit the original article at Quality and warranty cost reduction strategies.

Jim Johnson of IBM gave IBM’s point of view on quality lifecycle management. Jim works in Global Services and works with auto and truck manufacturers. IBM’s research shows:

More Read

Data Liberation: The Case For and Against
IBM Research has built a new nanoscale microscope capable of…
Medical AI Isn’t Just Beneficial – It’s Becoming Necessary
More Organizations Use AI to Manage Documents
Not All Social Network Users Alike – Four Types of LinkedIn Users – Which Type are You?
  • That warranty reserves accrue at between 1% and 3% of sales and this is continuing to increase.
  • Detection to correction cycles average over 100 days and can exceed 220
  • Electronics in cars adds complexity
  • No trouble found issues are increasing and are tricky
  • Disconnected and regionally based claims systems don’t provide a comprehensive view

Global warranty management is their approach to addressing these isues and this involves a common system, common processes and governance and global business rules. The need is to identify and correct warranty issues as quickly as possible, as early in the lifecycle as possible. Business rules and advanced analytics (decision management, in other words) are critical to managing this.

Also, they see that bringing new data sources from blogs, enthusiast sites, call centers and integrating with the data from claims can really improve the results. But this data must be managed and turned into an asset through the use of analytics and the application of business rules – make sense of the data and get earlier awareness of what is going on.

Their model involves defining a strategy, building on standard processes, ensuring governance, thinking globally and doing all this on a solid architecture. Key elements:

  • Diagnostic information systems are part of the architecture and are important to bringing the raw data captured about vehicles with problems back to the engineering community.
  • Warranty Claim Processing using business rules and integrated with diagnostics
  • Data warehouse that integrates all the various data elements
  • Sharing the data to suppliers and manufacturers as needed
  • Quality analytics using diagnostic data analysis, claims analysis (including accrual forecasting and fraud trends), supplier quality analytics and predictive early warning for problems.

It is all about “earlier warning”. He gave an example of using telematics and diagnostic systems to both collect data automatically from vehicles and push early warnings back to owners. Obviously this requires the rapid integration of the diagnostic data, effective analysis of this data and automated actions taken as a result (using rules).

Clearly this vision of IBM’s for future warranty systems is heavily reliant on the use of decision management to make all the data being collected active.

Previous


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive
data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Deception, Common Sense and E-Mail Marketing

4 Min Read

Apples and Oranges

4 Min Read

Escaping the ghosts of BI marketing past

1 Min Read
data tools
AnalyticsBest PracticesBig DataBusiness IntelligenceCulture/LeadershipData ManagementData MiningData VisualizationDecision ManagementKnowledge Management

Democratizing Data with Decision Management

6 Min Read

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

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?