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Best Insurance Analytics Software

Neya Kumaresan
NK
Researched and written by Neya Kumaresan

Insurance analytics software conducts analysis on insurance-related data. Insurance companies use insurance analytics solutions to drive customer interactions, reduce fraudulent activity (and detect it when it does occur), price their products, and automate product recommendations.

Insurance agencies leverage these solutions to inform strategic decision-making, identify potential opportunities for cost savings, enable the self-service of policies, and price premiums. Insurance analytics software carries out deep data analysis on customer and operational data, enabling organizations to become more efficient and effective.

Insurance analytics solutions connect to various data sources within an insurance agency. These solutions also typically integrate with financial services CRM software.

To qualify for inclusion in the Insurance Analytics category, a product must:

Connect to internal data sources
Conduct data analysis on data consumed from those sources
Be designed for use by the insurance industry
Produce data driven reports on client behavior

Best Insurance Analytics Software At A Glance

Highest User Satisfaction:
Best Free Software:

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

No filters applied
64 Listings in Insurance Analytics Available
(2,200)4.4 out of 5
1st Easiest To Use in Insurance Analytics software
View top Consulting Services for Tableau
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Entry Level Price:$15.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tableau is the world’s leading AI-powered analytics platform. Offering a suite of analytics and business intelligence tools, Tableau turns trusted data into actionable insights so you can make better

    Users
    • Data Analyst
    • Business Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Enterprise
    • 34% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Tableau is a data visualization tool that allows users to create interactive dashboards and reports by connecting to various data sources.
    • Users like Tableau's user-friendly interface, its ability to handle large datasets, and the variety of chart options available, including the ability to create customized charts.
    • Users experienced performance issues with large datasets, found the learning curve for advanced features steep, and expressed concerns about the high cost of licenses.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tableau Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    420
    Data Visualization
    377
    Visualization
    305
    Visualizations
    211
    Intuitive
    191
    Cons
    Expensive
    127
    Learning Curve
    118
    Learning Difficulty
    93
    Data Management
    86
    Slow Performance
    83
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tableau features and usability ratings that predict user satisfaction
    9.2
    Automation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @salesforce
    584,242 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    78,543 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tableau is the world’s leading AI-powered analytics platform. Offering a suite of analytics and business intelligence tools, Tableau turns trusted data into actionable insights so you can make better

Users
  • Data Analyst
  • Business Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Enterprise
  • 34% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Tableau is a data visualization tool that allows users to create interactive dashboards and reports by connecting to various data sources.
  • Users like Tableau's user-friendly interface, its ability to handle large datasets, and the variety of chart options available, including the ability to create customized charts.
  • Users experienced performance issues with large datasets, found the learning curve for advanced features steep, and expressed concerns about the high cost of licenses.
Tableau Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
420
Data Visualization
377
Visualization
305
Visualizations
211
Intuitive
191
Cons
Expensive
127
Learning Curve
118
Learning Difficulty
93
Data Management
86
Slow Performance
83
Tableau features and usability ratings that predict user satisfaction
9.2
Automation
Average: 8.1
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@salesforce
584,242 Twitter followers
LinkedIn® Page
www.linkedin.com
78,543 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    What is SAS Fraud, Anti-Money Laundering & Security Intelligence? Software solutions in the SAS Fraud, Anti-Money Laundering and Security Intelligence suite deliver fast, on-target insights throug

    Users
    No information available
    Industries
    • Banking
    • Financial Services
    Market Segment
    • 56% Enterprise
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Fraud, Anti-Money Laundering & Security Intelligence Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    10
    Efficiency
    8
    Data Analytics
    7
    Fraud Prevention
    7
    Decision Making
    6
    Cons
    Expensive
    7
    Difficulty
    6
    Learning Curve
    6
    Learning Difficulty
    6
    Complexity
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Fraud, Anti-Money Laundering & Security Intelligence features and usability ratings that predict user satisfaction
    9.2
    Automation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    62,434 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

What is SAS Fraud, Anti-Money Laundering & Security Intelligence? Software solutions in the SAS Fraud, Anti-Money Laundering and Security Intelligence suite deliver fast, on-target insights throug

Users
No information available
Industries
  • Banking
  • Financial Services
Market Segment
  • 56% Enterprise
  • 26% Mid-Market
SAS Fraud, Anti-Money Laundering & Security Intelligence Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
10
Efficiency
8
Data Analytics
7
Fraud Prevention
7
Decision Making
6
Cons
Expensive
7
Difficulty
6
Learning Curve
6
Learning Difficulty
6
Complexity
4
SAS Fraud, Anti-Money Laundering & Security Intelligence features and usability ratings that predict user satisfaction
9.2
Automation
Average: 8.1
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,434 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®

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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    InsuredMine is a digital platform of integrated Technologies enabling Independent Agents & Carriers to offer Omni-channel experience to their clients. This helps them grow their business by conver

    Users
    No information available
    Industries
    • Insurance
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • InsuredMine features and usability ratings that predict user satisfaction
    9.2
    Automation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    Plano, US
    Twitter
    @InsuredMine
    999 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    71 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

InsuredMine is a digital platform of integrated Technologies enabling Independent Agents & Carriers to offer Omni-channel experience to their clients. This helps them grow their business by conver

Users
No information available
Industries
  • Insurance
Market Segment
  • 100% Small-Business
InsuredMine features and usability ratings that predict user satisfaction
9.2
Automation
Average: 8.1
Seller Details
Year Founded
2018
HQ Location
Plano, US
Twitter
@InsuredMine
999 Twitter followers
LinkedIn® Page
www.linkedin.com
71 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    PerfectQuote is Group Insurance CPQ that helps benefits brokers and general agents procure, analyze and sell benefits insurance faster, error free and without any need for data entry. PerfectQuote is

    Users
    No information available
    Industries
    • Insurance
    Market Segment
    • 55% Small-Business
    • 45% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • PerfectQuote Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    3
    Ease of Use
    2
    Analytics
    1
    Business Growth
    1
    Efficiency
    1
    Cons
    Time-Consuming
    2
    Confusion
    1
    Difficult Learning
    1
    Difficulty
    1
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • PerfectQuote features and usability ratings that predict user satisfaction
    7.7
    Automation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Austin, US
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

PerfectQuote is Group Insurance CPQ that helps benefits brokers and general agents procure, analyze and sell benefits insurance faster, error free and without any need for data entry. PerfectQuote is

Users
No information available
Industries
  • Insurance
Market Segment
  • 55% Small-Business
  • 45% Mid-Market
PerfectQuote Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
3
Ease of Use
2
Analytics
1
Business Growth
1
Efficiency
1
Cons
Time-Consuming
2
Confusion
1
Difficult Learning
1
Difficulty
1
Limited Features
1
PerfectQuote features and usability ratings that predict user satisfaction
7.7
Automation
Average: 8.1
Seller Details
Year Founded
2017
HQ Location
Austin, US
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Powerful mod analysis at your fingertips. Go beyond the low bid mentality and position yourself as the mod expert. Open your prospects’ and clients’ eyes to the impact of the mod, and identify cost d

    Users
    No information available
    Industries
    • Insurance
    Market Segment
    • 63% Mid-Market
    • 25% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ModMaster features and usability ratings that predict user satisfaction
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Zywave
    Year Founded
    1995
    HQ Location
    Milwaukee, WI
    LinkedIn® Page
    www.linkedin.com
    790 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Powerful mod analysis at your fingertips. Go beyond the low bid mentality and position yourself as the mod expert. Open your prospects’ and clients’ eyes to the impact of the mod, and identify cost d

Users
No information available
Industries
  • Insurance
Market Segment
  • 63% Mid-Market
  • 25% Small-Business
ModMaster features and usability ratings that predict user satisfaction
0.0
No information available
Seller Details
Seller
Zywave
Year Founded
1995
HQ Location
Milwaukee, WI
LinkedIn® Page
www.linkedin.com
790 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RiskMatch is an insurance intelligence solution that provides agencies and brokerages with the data-driven insights they need to grow their business and stay competitive in an increasingly complex ind

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RiskMatch features and usability ratings that predict user satisfaction
    8.3
    Automation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Vertafore
    Year Founded
    1969
    HQ Location
    Denver, CO
    Twitter
    @Vertafore
    7,388 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,897 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

RiskMatch is an insurance intelligence solution that provides agencies and brokerages with the data-driven insights they need to grow their business and stay competitive in an increasingly complex ind

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
RiskMatch features and usability ratings that predict user satisfaction
8.3
Automation
Average: 8.1
Seller Details
Seller
Vertafore
Year Founded
1969
HQ Location
Denver, CO
Twitter
@Vertafore
7,388 Twitter followers
LinkedIn® Page
www.linkedin.com
2,897 employees on LinkedIn®
(2)5.0 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Growth is critical for any insurance provider's success, but new business development remains a challenge. Finding ideal prospects and initiating outreach can be time-intensive. And without the right

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • miEdge Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Analytics
    1
    Decision Making
    1
    Insights Management
    1
    Cons
    Poor User Interface
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • miEdge features and usability ratings that predict user satisfaction
    4.2
    Automation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Zywave
    Year Founded
    1995
    HQ Location
    Milwaukee, WI
    LinkedIn® Page
    www.linkedin.com
    790 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Growth is critical for any insurance provider's success, but new business development remains a challenge. Finding ideal prospects and initiating outreach can be time-intensive. And without the right

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Small-Business
miEdge Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Analytics
1
Decision Making
1
Insights Management
1
Cons
Poor User Interface
2
miEdge features and usability ratings that predict user satisfaction
4.2
Automation
Average: 8.1
Seller Details
Seller
Zywave
Year Founded
1995
HQ Location
Milwaukee, WI
LinkedIn® Page
www.linkedin.com
790 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    P&C and Reinsurance policy administration and expert underwriting systems.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Sapiens DataSuite features and usability ratings that predict user satisfaction
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Sapiens
    Year Founded
    1982
    HQ Location
    Cary, NC
    Twitter
    @SapiensIns
    1,423 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,382 employees on LinkedIn®
    Ownership
    NASDAQ: SPNS
Product Description
How are these determined?Information
This description is provided by the seller.

P&C and Reinsurance policy administration and expert underwriting systems.

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 50% Mid-Market
Sapiens DataSuite features and usability ratings that predict user satisfaction
0.0
No information available
Seller Details
Seller
Sapiens
Year Founded
1982
HQ Location
Cary, NC
Twitter
@SapiensIns
1,423 Twitter followers
LinkedIn® Page
www.linkedin.com
4,382 employees on LinkedIn®
Ownership
NASDAQ: SPNS
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Through an easy-to-understand visual interface, Applied Analytics allows you to obtain powerful graphical business insights from your existing management system data to drive greater employee producti

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Applied Analytics features and usability ratings that predict user satisfaction
    10.0
    Automation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1983
    HQ Location
    University Park, IL
    Twitter
    @AppliedSystems
    7,030 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,542 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Through an easy-to-understand visual interface, Applied Analytics allows you to obtain powerful graphical business insights from your existing management system data to drive greater employee producti

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Applied Analytics features and usability ratings that predict user satisfaction
10.0
Automation
Average: 8.1
Seller Details
Year Founded
1983
HQ Location
University Park, IL
Twitter
@AppliedSystems
7,030 Twitter followers
LinkedIn® Page
www.linkedin.com
2,542 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Moody’s Analytics AXIS actuarial system is widely used by life insurers, reinsurers, and consulting firms for pricing, reserving, asset and liability management (ALM), financial modeling, capital calc

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AXIS features and usability ratings that predict user satisfaction
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    New York, NY
    LinkedIn® Page
    www.linkedin.com
    7,078 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Moody’s Analytics AXIS actuarial system is widely used by life insurers, reinsurers, and consulting firms for pricing, reserving, asset and liability management (ALM), financial modeling, capital calc

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
AXIS features and usability ratings that predict user satisfaction
0.0
No information available
Seller Details
HQ Location
New York, NY
LinkedIn® Page
www.linkedin.com
7,078 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With Book Roll Analytics, carriers can digitally request an agency’s book of business, without disrupting agency operations. Whether you’re focused on growing personal or commercial lines, Book Roll A

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Book Roll Analytics features and usability ratings that predict user satisfaction
    8.3
    Automation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Vertafore
    Year Founded
    1969
    HQ Location
    Denver, CO
    Twitter
    @Vertafore
    7,388 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,897 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With Book Roll Analytics, carriers can digitally request an agency’s book of business, without disrupting agency operations. Whether you’re focused on growing personal or commercial lines, Book Roll A

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
Book Roll Analytics features and usability ratings that predict user satisfaction
8.3
Automation
Average: 8.1
Seller Details
Seller
Vertafore
Year Founded
1969
HQ Location
Denver, CO
Twitter
@Vertafore
7,388 Twitter followers
LinkedIn® Page
www.linkedin.com
2,897 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Drive growth with data claims analysis. Dig deep into your clients’ health plan data, reveal hidden costs and deliver targeted, cost-saving solutions using the powerful reporting in Decision Master W

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Decision Master Warehouse features and usability ratings that predict user satisfaction
    8.3
    Automation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Zywave
    Year Founded
    1995
    HQ Location
    Milwaukee, WI
    LinkedIn® Page
    www.linkedin.com
    790 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Drive growth with data claims analysis. Dig deep into your clients’ health plan data, reveal hidden costs and deliver targeted, cost-saving solutions using the powerful reporting in Decision Master W

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Decision Master Warehouse features and usability ratings that predict user satisfaction
8.3
Automation
Average: 8.1
Seller Details
Seller
Zywave
Year Founded
1995
HQ Location
Milwaukee, WI
LinkedIn® Page
www.linkedin.com
790 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Modular policy, quoting, billing and claim administration application.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Garvin Allen Insurance System features and usability ratings that predict user satisfaction
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Twitter
    @GarvinAllen
    20 Twitter followers
Product Description
How are these determined?Information
This description is provided by the seller.

Modular policy, quoting, billing and claim administration application.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Garvin Allen Insurance System features and usability ratings that predict user satisfaction
0.0
No information available
Seller Details
Twitter
@GarvinAllen
20 Twitter followers
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Manage everyday claims requirements, including salvage, subrogation and litigation processing, coverage limits editing and more.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IDP features and usability ratings that predict user satisfaction
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Wyncote, PA
Product Description
How are these determined?Information
This description is provided by the seller.

Manage everyday claims requirements, including salvage, subrogation and litigation processing, coverage limits editing and more.

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
IDP features and usability ratings that predict user satisfaction
0.0
No information available
Seller Details
HQ Location
Wyncote, PA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Billing Decisions is a feature-rich, configurable solution backed by experts in the nuances of insurance billing.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Insurity Analytics features and usability ratings that predict user satisfaction
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Insurity
    Year Founded
    1985
    HQ Location
    Hartford, CT
    Twitter
    @Insurity
    977 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    981 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Billing Decisions is a feature-rich, configurable solution backed by experts in the nuances of insurance billing.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Insurity Analytics features and usability ratings that predict user satisfaction
0.0
No information available
Seller Details
Seller
Insurity
Year Founded
1985
HQ Location
Hartford, CT
Twitter
@Insurity
977 Twitter followers
LinkedIn® Page
www.linkedin.com
981 employees on LinkedIn®