The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Filter
Locations
Result types
Type of company
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
Lock keywords
Exclude keywords
Optional keywords
Chelmsford, United Kingdom
11-50 Employees
2006
We provide a quick response to business requirements with both services and solutions to save you time and money, combining over three decades of insurance data experience with the latest technology. We are proud to announce that we have been awarded both ISO 9001 and ISO 27001 Certifications. Giving insurance experts access to relevant and accurate data in the right format to support decision making, compliance and customer care. Decommission legacy systems and reduce costs by archiving historical data and documents to support regulatory compliance. Country and Market Share Analysis for a Leading Lloyds ReInsurer.
+
Featured
INSURANCE DATA ANALYTICS
... Insurance Analytics | Insurance Data ...
Kalispell, United States
11-50 Employees
2000
We are happy that we have partnered with you and hope the relationship can grow. WaterStreet Company is a group of property & casualty insurance industry experts based in Kalispell, Montana. Founded in 2000 by Gregg Barrett, we’re transforming and optimizing operations for P&C carriers, MGA’s, Insurtechs, and startups through cutting edge technology and a remarkable customer experience. We offer a cloud-based P&C insurance administration platform fully managed on Microsoft Azure cloud services and infrastructure, along with a suite of insurance back-office services to help our clients grow and scale their business optimally with this one-stop-shop approach. Our clients can process homeowners and auto products, commercial and personal lines, plus all claims on our integrated system. Advanced enterprise-level technology built on a proprietary P&C insurance data model, using highly secure physical and virtual environments, mitigates the risk associated with your infrastructure and data. We have built an ecosystem of industry and technology partnerships to deliver successful solutions for today and the future. Manage the full lifecycle of all your product lines from a single platform.
+
Featured
16 Business Questions that Insurance Analytics can Answer
... Download quarterly infographic about Insurance Analytics and how it can help providing answers to important business questions. ...
Nashville-Davidson, United States
1-10 Employees
Flisk's software is known for its intuitive interface. Our premium customer support offers fast response times to queries or suggestions. Are you looking to replace spreadsheet tracking with consolidated data that will provide you with advanced dashboard system for quick visualization and reporting?
+
Featured
Analytics for Insurance, Claims and Incidents
... Analytics for Insurance, Claims and Incidents | ...
City of Westminster, United Kingdom
11-50 Employees
2007
Eric Giroux holds an MBA from the London Business School, and a BEng in Mechanical and Robotic Engineering from École Polytechnique. We are a proud supporter of the Salvation Army. The GIROUX analytics platform is essential to our continued success. The GIROUX platform proved critical in future-proofing our business, as with multiple sources of data to contend with, data reporting proved to be difficult and time-consuming. We now use Giroux to make data accessible to everyone, at the push of a button. Working with GIROUX has not only allowed us to optimise data reporting but it has also enabled us to enhance our day to day business operations and gain invaluable insights that have proved paramount to our growth. Our insurance analytics platform was created to help insurers provide world class data and reporting to their teams without having to move heaven and earth to do so. Effective insurance optimisation and analytics should be key parts to any leading insurer's strategy.Over the years we realised solving this problem is not a project.
+
Featured
Future proof your business using predictive insurance analytics
... Why trust GIROUX for your insurance data analytics platform? ...
Madrid, Spain
1001-5000 Employees
2008
We are uniquely prepared to help clients disrupt their industry with our precision cloud solutions. We deliver custom cloud solutions using cloud native development and application modernization from certified cloud experts. Used by 25,000+ Doctors on Cloud, Cloudpital is the healthcare Industry leader in Middle East, Australia, Africa and Now expanding to US & Canada. Pakistan’s #1 Cloud Payroll Platform trusted by 3,000+ corporates. We offer turnkey solutions for common challenges as well as custom solutions for more particular needs. From cloud migration, to cloud management, to cloud-native development – are designed to deliver business impact and drive innovation. Create Tasks for Team, Surveys to Conduct and Monitor Competitors Products with TrackQlik.
+
Featured
Insurance Analytics
... Bilytica Insurance Analytics provide interactive reporting tools that incorporate the historic data & provide with quick insights to estimate future ...
Hamburg, Germany
51-100 Employees
2005
We are prepared for exactly this – whether B2B or B2C. Globalisation, internet giants and a new customer attitude towards digital offers are the biggest challenges for the retail sector. Whether internal CIO area or external IT service provider: Expectations of IT have changed fundamentally in recent years. Our management team consists of consultants with many years of experience in industry and in positions of leadership.
+
Featured
mgm: Management Consulting für Digitalisierung
... Digital insurance & analytics ...
Chicago, United States
1-10 Employees
2021
PremiumIQ provides leadership and technology expertise to help insurance companies deliver future-facing data solutions. PremiumIQ helps clients scale predictive analytics by leveraging a shared services Analytics Lab that supports:. Prior to founding PremiumIQ, Mike was the CEO of Clarity Insights (now Accenture AI) and the Insurance Practice Leader at Knightsbridge Solutions (now HP). Prior to PremiumIQ, Bill was an Associate Partner within the Insurance Practice at Clarity Insights (now Accenture AI) and Senior Principal within the Insurance Practice at Knightsbridge Solutions (now HP). Prior to joining PremiumIQ, Mark spent nearly 5 years at AWS as a Principal Industry Specialist for the insurance industry. We’ve helped many clients implement data governance programs that provide:. We aim to help by providing seasoned collaborative experts who have worked both as consultants and staff employees in senior, highly leveraged roles, including:. Bill is a senior information management professional with more than 30 years of experience in both business and technical areas within the insurance industry.
+
Featured
PremiumIQ | Insurance Intelligence | United States
... With seasoned specialists focused singularly on insurance data analytics, PremiumIQ ignites your modernization journey by elevating your organization, contractors and global systems integrators. ...
South Oxfordshire, United Kingdom
1-10 Employees
2015
We are committed to corporate responsibility, ethical practice and sustainable business & living. That’s why we are a net zero carbon business using only renewable electricity, electric vehicles and any air travel carbon footprint is offset by planting new trees in our forests and woodlands. We work closely with clients to build relationships as trusted partners to deliver end-to-end solutions. We take the risk out of technology so you can focus on what you do best. With years of experience and a huge body of knowledge to draw on, we can bring the new ideas and innovations you need to succeed.
+
Featured
IT Solutions for Insurance Companies | Holden Analytics Ltd
... IT Solutions for Insurance Companies | Holden Analytics ...
Plano, United States
251-500 Employees
2016
We are a company that thrives on innovation. Rajesh has more than 25 years of experience in the information technology sector and has established himself as a Global Digital Practice Leader with expertise in digital engineering, customer experience, digital marketing, CRM, loyalty programs, business intelligence, mobile apps, web apps (CMS), cloud, and analytics. As the CEO of Kasmo, Rajesh is responsible for setting the company’s strategic direction, managing operations and finances, ensuring high-quality service delivery, building a skilled and competent team, nurturing stakeholder relationships, pursuing growth opportunities, and making decisions that are in the best interest of the company and its stakeholders. Core Skills: Product Roadmap and technical strategy, Solution Architecture Design, Infrastructure Design & DevOps, Building high performing teamsSpecialization: Data Engineering & Analytics, Technology Consulting, Solution Design, DevOps. Core Skills : Planning and Strategy, Product Roadmap and technical strategy, Solution Architecture Design, Practice Management. Specialization: Sales, Service, Customer Community, Fleet Management, Product Modeling, Integration, Order Management, Field Service, CPQ, and Identity & Access Management, Salesforce Industry Solutions. Jaipal is a Director of Operations who optimizes business procedures to enhance day-to-day operations. At Kasmo, we believe that our values are the foundation of our success.
+
Featured
Insurance Analytics
... Products We develop products to alleviate business challenges Workforce Tech Insurance Analytics Greenhouse Analytics Talent Hire Workforce Tech Workforce Tech is a HRMS software that streamlines your HR operations and elevates your employee experience. With its user-friendly interface and ...
Portsmouth, United States
1-10 Employees
2018
Harbor Point Analytics provides frameworks and solutions to help insurance carriers and distributors improve their competitive position. We do so by leveraging data strategy, information delivery and analytics implementation and by connecting technology players to the implementation of those solutions. We improve the quality of decision making at a granular level, while maintaining alignment to your company's strategic goals. This leads to quantifiable improvements in your results over time. With deep understanding of the competitive landscape, Harbor Point Analytics is uniquely positioned to give your company a highly customized path to analytic parity with industry leaders.
+
Featured
Harbor Point Analytics | Insurance Data & Analytics, Portsmouth
... Harbor Point Analytics | Insurance Data & Analytics, ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Insurance Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 106 |
| Amount of suitable service providers | 76 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2000 |
| Youngest suiting company | 2021 |
20%
40%
60%
80%
Insurance analytics refers to the complex process of leveraging big data and analytics tools to collect, process, and analyze vast amounts of data from various sources within the insurance sector. This process encompasses a wide range of activities, from risk assessment and fraud detection to customer behavior analysis and predictive modeling. By employing sophisticated algorithms and machine learning techniques, insurance analytics can transform raw data into actionable insights, enabling insurers to make informed decisions regarding policy pricing, claim management, and customer segmentation. The impact of insurance analytics in the industry is profound, offering a competitive edge to companies that adeptly utilize these insights. It allows for more accurate risk assessment, which leads to better pricing strategies and reduced losses from claims. Moreover, by identifying patterns and trends in customer data, insurers can tailor their products and services to meet the evolving needs of their clientele, enhancing customer satisfaction and loyalty. Furthermore, advanced analytics can streamline operational processes, improve efficiency, and detect fraudulent activities more effectively, safeguarding both the insurer and the insured. In essence, insurance analytics is at the heart of the digital transformation in the insurance industry, driving innovation, optimizing performance, and shaping the future of insurance practices.
1. Enhanced Risk Assessment
Insurance analytics enables insurers to analyze vast amounts of data, providing a deeper understanding of risks. This technology-driven approach allows for the identification of patterns and trends that traditional methods might overlook, leading to more accurate risk pricing and policy customization.
2. Improved Customer Experience
By leveraging data analytics, insurance companies can gain insights into customer behavior, preferences, and needs. This information can be used to tailor services and communication, significantly enhancing the customer experience. Personalized insurance options and proactive customer service become achievable, setting insurers apart in a competitive market.
3. Operational Efficiency
Analytics tools streamline various operational processes within insurance companies, such as claims processing and policy administration. Automation and predictive modeling can reduce the time and resources spent on these tasks, increasing efficiency and reducing operational costs.
4. Fraud Detection and Prevention
Insurance analytics plays a crucial role in identifying and preventing fraud. Advanced analytical models can detect unusual patterns and anomalies in data that may indicate fraudulent activities, enabling insurers to take preemptive action and protect their assets.
While evaluating the different suppliers make sure to check the following criteria:
1. Data Security and Compliance
Ensure the supplier adheres to industry-standard data protection regulations and has robust security measures in place to safeguard sensitive information.
2. Advanced Analytics and AI Capabilities
The supplier should offer cutting-edge analytics and artificial intelligence tools that can process large volumes of data for insightful analysis.
3. Customization and Scalability
Check for the ability to customize solutions to fit your unique business needs and scale as your insurance analytics requirements grow.
4. Integration Capabilities
The platform must seamlessly integrate with your existing systems (e.g., CRM, ERP) to ensure a smooth workflow and data consistency.
5. Technical Support and Training
Evaluate the level of technical support and training provided to ensure your team can effectively use the analytics tools.
6. Industry Expertise and Reputation
Consider the supplier's experience in the insurance industry and their reputation among peers, which can be indicative of reliability and quality service.
Insurance analytics plays a pivotal role in transforming the way businesses across various industries manage risk, make informed decisions, and optimize their operations. In the healthcare sector, insurance analytics are used to predict patient risks and tailor insurance premiums accordingly. This predictive capability allows healthcare providers to offer personalized insurance plans, improving patient care while managing costs effectively. In the automotive industry, insurance analytics facilitate the development of usage-based insurance models. By analyzing driving behavior data collected from connected vehicles, insurers can assess risk more accurately and offer customized premiums. This not only encourages safer driving habits but also provides a competitive edge to insurance providers by allowing them to offer more personalized policies. For the retail industry, insurance analytics are instrumental in managing supply chain risks. By analyzing data on supplier reliability, natural disaster trends, and transportation delays, retailers can assess potential risks to their supply chains and secure appropriate insurance coverage. This proactive approach helps minimize disruptions and ensures business continuity. Finally, in the finance sector, insurance analytics are utilized to combat fraud. By leveraging machine learning algorithms to analyze transaction patterns and identify anomalies, financial institutions can quickly detect and prevent fraudulent activities. This not only protects the institution’s assets but also enhances trust and security for its customers. Through these diverse applications, insurance analytics empowers businesses to navigate the complexities of risk management and operational optimization, making it an indispensable tool across industries.
Insurance analytics, a pivotal technology in transforming the insurance sector, currently operates at a high Technology Readiness Level (TRL) of around 7 to 8. This advanced stage signifies that the technology has not only been fully developed but has also been demonstrated in operational environments, showcasing its effectiveness and reliability. The transition to this high TRL is grounded in several technical advancements and integrations. Firstly, the incorporation of sophisticated data analytics and machine learning algorithms has significantly enhanced predictive capabilities, allowing for more accurate risk assessments and policy personalization. Furthermore, advancements in data processing technologies have enabled real-time data analysis, improving decision-making processes and customer service. The integration of various data sources, including IoT devices and social media, has enriched the data pool, providing a more comprehensive view of risks and customer needs. These technical strides have collectively propelled insurance analytics into a mature and operationally tested phase, confirming its readiness and efficacy in serving the modern insurance industry's demands. This high TRL reflects the technology's evolution from theoretical models to practical, value-adding tools in the competitive insurance market.
In the Short-Term, insurance analytics is poised to leverage advanced machine learning algorithms for more accurate risk assessment and premium determination. The integration of IoT devices will provide real-time data, enabling insurers to offer personalized policies and preventive solutions to policyholders. This phase will also see the adoption of natural language processing (NLP) for better customer service and claims processing, making interactions quicker and more user-friendly. Moving into the Mid-Term, blockchain technology will become a cornerstone of insurance analytics, ensuring data integrity and transparency. This period will witness the emergence of predictive analytics for more sophisticated risk modeling, which will significantly enhance underwriting processes and fraud detection mechanisms. Insurers will start to utilize big data analytics more extensively to derive insights from unstructured data, improving decision-making processes and policy customization. In the Long-Term, artificial intelligence (AI) will revolutionize insurance analytics by enabling fully automated, real-time policy management and claims processing. Quantum computing will also begin to play a role, offering unprecedented data processing capabilities that will unlock new predictive models for risk assessment. Additionally, the integration of augmented reality (AR) and virtual reality (VR) technologies will provide immersive experiences for risk assessment and customer engagement, further personalizing and enhancing the insurance services offered.
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
Who are Start-Ups in the field of Insurance Analytics?
Start-Ups who are working in Insurance Analytics are PremiumIQ
Which industries are mostly working on Insurance Analytics?
The most represented industries which are working in Insurance Analytics are Information Technology, Financial Services, Software, Data and Analytics, Professional 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.
