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
    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
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Designing and implementing a web-based warranty system
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 > Designing and implementing a web-based warranty system
Business IntelligenceCRMData MiningPredictive Analytics

Designing and implementing a web-based warranty system

JamesTaylor
JamesTaylor
3 Min Read
SHARE

Copyright © 2009 James Taylor. Visit the original article at Designing and implementing a web-based warranty system.Frank Kozlowski of Kohler presentedf on a web-based warranty system. When they set out to develop the system their goals were to move to a start-of-the-art, easy to use system that was web-based so dealers could enter claims directly […]


Copyright © 2009 James Taylor. Visit the original article at Designing and implementing a web-based warranty system.

Frank Kozlowski of Kohler presentedf on a web-based warranty system. When they set out to develop the system their goals were to move to a start-of-the-art, easy to use system that was web-based so dealers could enter claims directly anywhere in the world (they have 12,000 dealers). They wanted to reduce their cycle time from claim to warranty (from 15 days to 1 day) and improve their data accuracy by getting data entered directly. Finally they wanted to prevent fraudulent claims. The system also needed to minimize the use of programmers when administering the system. At the same time it had to handle multiple policies, implement complex payment rules and support multiple languages. Finally it needed to support their short and long term business future – new products that might be implemented. Their solution was to select the Snap-On solution.

Key learnings from the project:

More Read

C to the E to the R to the N – will rock you in the head.
“Involving users in business intelligence strategy key for success” – Christina Torode on SearchCio-Midmarket.com
Customer Service, the New Marketing in the Era of the Social Customer
Comparing the Cost Continued…
Web Server as the smallest unit of Cloud Computing
  • Understand and document the process you have and the process you want.
    And I would add that you should make sure you will be able to change the process yourself
  • You need to focus on data conversion – cleansing, integration, how much history and so on. When to convert, where to store it, how will you use historical data (for quality for instance)
    I would add that rules-based data cleansing and conversion can be very effective.
  • New systems have new fields and your historical data will not have values for these fields – you will have to do some intelligent selection of defaults
    Of course you can use rules to set these values too if you don’t want to use the same value everywhere.
  • Figure out the kinds of reports you need, and who can produce fixed or ad-hoc reports, and what that means for your data
  • Quickly identify your “misses” – because there will be some. Poor communication is the biggest problem
    Of course, if your solution has rules and workflow engines that allow you to make changes then you will be able to rapidly evolve the solution even if you do “miss” originally

I haven’t had a chance to see the Snap-On solution yet but it looks like it uses policy (rule) and workflow engines that allow non-technical users to evolve the product.

Previous


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive
power supplies for ATX for data scientists
Why Data Scientists Should Care About SFX Power Supplies
Big Data Exclusive
AI for website optimization
Free Tools to Test Website Accessibility
Artificial Intelligence Exclusive
Generative AI models
Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence
Artificial Intelligence Business Intelligence Exclusive Infographic Machine Learning

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

2011: The Year of the Analytics Platform – Part I

11 Min Read

SaaS economics

3 Min Read

So Does Toyota Really Have a Quality Issue?-Lean Six Sigma Perspective

5 Min Read

Conducting A/B Tests: Subject Lines

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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?