ensun logo
Locations
Company type
Result types
Industries
Employees
Founding year
background

Top Insurance Analytics Companies

The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers

Close

Filter

Continents


Locations


Result types


Company type


Industries


Company status

Number of employees

to

Founding year

to

Clear filters

60 companies for Insurance Analytics

IDP's Logo

IDP

Philadelphia, United States

B

11-50 Employees

1949

Key takeaway

The company offers a comprehensive business analytics product specifically designed for the insurance industry, leveraging over 30 years of experience to provide insights that enhance decision-making.

Highlighted product

Product

Analytics Built By People Who Know Insurance - IDP

Analytics Partners's Logo

Analytics Partners

Jacksonville, United States

B

11-50 Employees

2002

Key takeaway

The company offers integrated information that enhances advanced analytics capabilities, particularly through its ACO product, which automates data integration and provides customizable analytics to monitor and improve ACO measures. Their experience in creating detailed solutions roadmaps and proven methods for building robust enterprise data warehouses can significantly support analytics goals.

Highlighted product

Product

Self Insured - Analytics Partners

Applied Systems's Logo

Applied Systems

University Park, United States

B

1001-5000 Employees

1980

Key takeaway

Applied Systems is dedicated to enhancing the insurance industry through innovative, cloud-based software, including their Applied Analytics tool, which provides data analytics specifically designed for insurance agencies. Their focus on practical solutions empowers agents with greater intelligence to improve competitiveness and streamline operations.

Highlighted product

Product

Applied Analytics: Data Analytics for Insurance Agencies | Applied Systems

Data analytics tool for insurance agents.

Looking for more accurate results?

Find the right companies for free by entering your custom query!

25M+ companies

250M+ products

Free to use

Insurance Data Migrations's Logo

Insurance Data Migrations

Chelmsford, United Kingdom

A

11-50 Employees

2006

Key takeaway

The company specializes in insurance analytics, leveraging over three decades of experience to provide relevant and accurate data that supports decision-making, compliance, and customer care. Their solutions include advanced analytics dashboards and data enrichment tools that help identify trends and enhance operational efficiency.

Highlighted product

Service

Insurance Analytics | Insurance Data Solutions

3ZAnalytics's Logo

3ZAnalytics

Markham, Canada

A

1-10 Employees

-

Key takeaway

The company emphasizes the importance of data, analytics, and AI in enhancing business operations, particularly in the insurance sector through their 3Z Analytics service. They focus on empowering users to make informed decisions by uncovering valuable insights from existing data, utilizing advanced technologies like machine learning and data visualization tools.

Highlighted product

Product

Insurance – 3Z Analytics

SolvencyAnalytics's Logo

SolvencyAnalytics

Zurich, Switzerland

A

11-50 Employees

2014

Key takeaway

SolvencyAnalytics is a Zurich-based financial consulting firm that specializes in regulatory analytics and reporting services for the insurance sector, among others. They offer optimized investment solutions and comprehensive regulatory reporting, managing assets of over 1.3 trillion EUR, which is crucial for effective insurance analytics.

Highlighted product

Core business

Company - SolvencyAnalytics

SolvencyAnalytics is a Zurich based financial consulting firm providing regulatory analytics and reporting services for insurance, banking, pension funds and asset management sectors

Insurerity's Logo

Insurerity

Accra, Ghana

D

1-10 Employees

2019

Key takeaway

Insurerity Digital is a prominent insurtech startup in Ghana that focuses on empowering insurers and brokers across Africa with advanced technology and support. They emphasize the importance of analytics and reporting in their software-as-a-service (SaaS) solutions, making it easier for clients to digitize their customer acquisition processes.

Highlighted product

Product

Features - Analytics

Insurerity Digital is a Software-as-a-service (SaaS) company that provides tailored solutions to brokers and insurers seeking to fully digitize their customer acquisition process.

Decision Analytics's Logo

Decision Analytics

United States

B

1-10 Employees

2008

Key takeaway

Decision Analytics offers consulting and software development services that could enhance insurance analytics through their expertise in information technologies.

Highlighted product

Core business

Decision Analytics > Home

TCB Analytics's Logo

TCB Analytics

Venice, United States

B

1-10 Employees

-

Key takeaway

TCB Analytics is a consulting firm that specializes in data and analytics, offering innovative solutions to help clients across various industries, including financial services. Their expertise in advanced analytics is designed to help organizations manage and analyze their data effectively, extracting actionable insights.

Highlighted product

Service

Advanced Analytics · TCB Analytics

Athenium Analytics's Logo

Athenium Analytics

Washington, United States

B

101-250 Employees

2012

Key takeaway

Athenium Analytics, a division of Athenium, Inc., specializes in insurance analytics by providing actionable insights through data, modeling, and risk analytics, helping insurance carriers enhance growth and efficiency. Their innovative suite of tools, including risk scoring and weather intelligence, equips teams to make informed decisions and manage catastrophe risk effectively.

Highlighted product

Product

Insurance APIs for claims & underwriting | Athenium Analytics

On-demand weather intelligence & risk scoring for insurance carriers delivered over API. Write more business & triage claims with better data.


Related searches for Insurance Analytics

Technologies which have been searched by others and may be interesting for you:

Things to know about Insurance Analytics

What is Insurance Analytics?

Insurance analytics refers to the use of data analysis and statistical methods to improve decision-making within the insurance industry. By leveraging large volumes of data, insurers can gain insights into risk assessment, customer behavior, claims processing, and operational efficiency. This approach enables companies to optimize pricing strategies, enhance underwriting processes, and improve customer retention. Through advanced techniques such as predictive modeling and machine learning, insurance analytics helps providers identify trends and patterns that can influence policy development and risk management. As a result, companies can make informed decisions that enhance profitability and customer satisfaction while reducing potential losses.


How does Insurance Analytics improve risk assessment?

Insurance Analytics leverages advanced data analysis and predictive modeling techniques to enhance risk assessment processes. By analyzing vast amounts of data from various sources, such as historical claims, customer behavior, and market trends, these analytics tools provide insurers with deeper insights into potential risks. Furthermore, they enable the identification of patterns and correlations that might not be evident through traditional methods. This data-driven approach allows insurers to tailor their policies more accurately, set appropriate premiums, and ultimately reduce the likelihood of significant financial loss. By utilizing Insurance Analytics, providers can make informed decisions that lead to improved risk management and enhanced operational efficiency.


What are the benefits of using Insurance Analytics for customer segmentation?

1. Improved Targeting
Utilizing insurance analytics allows companies to segment customers more effectively, leading to targeted marketing strategies. By analyzing data on customer behavior, demographics, and preferences, insurers can craft personalized offerings that resonate with specific segments.

2. Enhanced Risk Assessment
Insurance analytics provides insights into the risk profiles of different customer segments. This enables providers to adjust their pricing models and ensure that policies are tailored to the risk associated with each group, ultimately improving profitability and customer satisfaction.


How does Insurance Analytics enhance fraud detection in the insurance industry?

Insurance analytics plays a crucial role in enhancing fraud detection within the insurance sector. By utilizing advanced data analytics and machine learning algorithms, insurers can analyze vast amounts of data from various sources, such as claims history, customer profiles, and external databases. This enables the identification of unusual patterns or anomalies that may indicate fraudulent activity. Moreover, predictive modeling techniques allow insurers to assess the risk associated with specific claims in real-time. By flagging suspicious claims for further investigation, insurance analytics not only helps in reducing losses due to fraud but also improves overall operational efficiency. As a result, companies can protect their assets and maintain trust with their policyholders.


What technologies are commonly used in Insurance Analytics?

Several technologies play a crucial role in Insurance Analytics. 1. Data Mining
This technique involves analyzing large datasets to discover patterns and insights that can inform decision-making in underwriting and claims management.

2. Machine Learning
Algorithms in machine learning are used to predict outcomes, assess risks, and improve customer segmentation by learning from historical data.

3. Predictive Modeling
This approach helps insurers forecast future events based on past trends, enabling more accurate pricing and risk assessment.

4. Big Data Technologies
Tools like Hadoop and Spark enable the processing of vast amounts of data, which enhances the capability to glean insights from diverse data sources.

5. Cloud Computing
Cloud platforms facilitate scalable data storage and processing, allowing insurers to access advanced analytics tools while optimizing costs.

6. Artificial Intelligence
AI technologies are utilized for automating processes, enhancing customer service through chatbots, and improving fraud detection mechanisms. These technologies combined enable insurers to make data-driven decisions, streamline operations, and enhance customer experiences.


Insights about the Insurance Analytics results above

Some interesting numbers and facts about your company results for Insurance Analytics

Country with most fitting companiesUnited States
Amount of fitting manufacturers6556
Amount of suitable service providers6339
Average amount of employees11-50
Oldest suiting company1949
Youngest suiting company2019

Geographic distribution of results





20%

40%

60%

80%

Frequently asked questions (FAQ) about Insurance Analytics Companies

Some interesting questions that has been asked about the results you have just received for Insurance Analytics

Based on our calculations related technologies to Insurance Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

The most represented industries which are working in Insurance Analytics are IT, Software and Services, Finance and Insurance, Other, Consulting, Marketing Services

ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.

Insurance Analytics results by various countries

Related categories of Insurance Analytics