The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
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.
Reference
Product
Analytics Built By People Who Know Insurance - IDP
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.
Reference
Product
Self Insured - Analytics Partners
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.
Reference
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
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.
Reference
Service
Insurance Analytics | Insurance Data Solutions
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.
Reference
Product
Insurance – 3Z Analytics
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.
Reference
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
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.
Reference
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
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.
Reference
Core business
Decision Analytics > Home
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.
Reference
Service
Advanced Analytics · TCB Analytics
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.
Reference
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.
Technologies which have been searched by others and may be interesting for you:
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.
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.
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.
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.
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.
Some interesting numbers and facts about your company results for Insurance Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 6571 |
| Amount of suitable service providers | 6355 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1949 |
| Youngest suiting company | 2019 |
20%
40%
60%
80%
Some interesting questions that has been asked about the results you have just received for Insurance Analytics
What are related technologies to Insurance Analytics?
Based on our calculations related technologies to Insurance Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Insurance Analytics?
The most represented industries which are working in Insurance Analytics are IT, Software and Services, Finance and Insurance, Other, Consulting, Marketing Services
How does ensun find these Insurance Analytics Companies?
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.
