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
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Rules and Process Management for Insurers
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Rules and Process Management for Insurers
Business IntelligenceData MiningPredictive Analytics

Rules and Process Management for Insurers

JamesTaylor
JamesTaylor
2 Min Read
Rules and Process Management for Insurers
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

Chubb has been working with Blaze Advisor to automate a number of decisions. They began with specialty lines underwriting (automated renewals), claims severity calculation and work queue assignment. Current focus is on integrating predictive models and some legacy modernization.

The automated renewals project reduced the time to make renewal ru…

Copyright © 2008 James Taylor. Visit the original article at Rules and Process Management for Insurers.

Chubb has been working with Blaze Advisor to automate a number of decisions. They began with specialty lines underwriting (automated renewals), claims severity calculation and work queue assignment. Current focus is on integrating predictive models and some legacy modernization.

More Read

Big Data Ethics: 4 Principles to Follow
Big Data Ethics: 4 Principles to Follow
So What Is Prescriptive Analytics?
The SMART Way to Use Big Data for Retail Businesses
Mark Drapeau is the Epitome of Government 2.0
How Web Analytics Can Help Your Business

The automated renewals project reduced the time to make renewal rule changes from 3-6 months of IT work to 2-3 days of IT work. The project contains a rule maintenance application and a batch cycle that runs the renewals through the rule server based on the current set of rules in the repository. The rule maintenance application was based around what they called “levers” – each lever is an attribute that can be used as part of the renewal decision. There is also a What-If feature. This allows business users to see the results of a proposed change in the rules using a year’s worth of data. The project had no quality problems, generated some good teamwork and hit its schedule. The What-If capability, a decision simulator really, seems like a crucial component.

Disappointing lack of information about what Chubb has been doing and too much generic Fair Isaac stuff but oh well.

Previous in series

ShareThis

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
Analytics Big Data Exclusive Software
Flat editorial illustration: The article examines AI agents that escalate from legitimate data retrieval to attempted intrusions
OpenAI’s Government Website Incidents Raise a Hard Question for AI Agents: When Should They Stop?
Artificial Intelligence News Security
Flat editorial illustration: The article's core relationship is the alignment between customer behavioral data (visit frequency,
Data-Driven Loyalty: How Restaurants Use Behavioral Analytics to Optimize Revenue
Exclusive
Flat editorial illustration: The article's core relationship is that reliable eCommerce attribution depends on a unified, well-st
How eCommerce Data Teams Can Build Attribution That Holds Up
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Trading System Description
Predictive Analytics

Trading System Description

6 Min Read
CRM and Social Media: The Rules Still Apply
CRM

CRM and Social Media: The Rules Still Apply

6 Min Read
Sensemaking on Streams – My G2 Skunk Works Project: Privacy by Design (PbD)
Data MiningData Quality

Sensemaking on Streams – My G2 Skunk Works Project: Privacy by Design (PbD)

12 Min Read
Social Media, Corporate Decisions and Analytics
Data MiningPredictive Analytics

Social Media, Corporate Decisions and Analytics

5 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
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
Artificial Intelligence for eCommerce: A Closer Look
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?