Embedded Analytics for Insurance
The insurance business has always been competitive – now more than ever. Every insurance provider has a wealth of data, but only the ones that use that data and turn it into useful insights for their advantage can get ahead of the pack. Insurance analytics helps identify profitable customers and manage their entire lifecycle from acquisition to maturity.Request a Demo
The Importance of Embedded Analytics for Insurance
From determining risk on an individual level to optimizing marketing and sales strategies and effectively preventing fraudulent claims, insurance analytics are central to the success of insurance companies and their competitive advantage. Data is the lifeblood of the insurance industry and in the age of BI and AI, insurance companies that are leveraging analytics and integrating insights into their business processes and strategies are simultaneously increasing customer satisfaction and profits.
Generating more leads and customers
Using data insights helps insurance providers to deep dive into understanding the process customers use to make decisions and their customer behavior. They can then use that knowledge gathered to better target and generate leads and identify the best up-sell and cross-sell market opportunities. Insights also help insurances personalize their offerings and messages to reach their lead generation goals faster.
Helps prevent fraud
One of the biggest benefits of data analytics in any industry, but specifically in insurance, is that it can easily help prevent fraudulent insurance claims. Based on applicants’ past behavior, insurance companies can process any claim and detect if given trends in past frauds are repeating and therefore prevent the occurrence of such.
Insurance analytics allows you to easily calculate how much risk is associated with each insurance application before issuing a policy. Data can tell you whether the individual applying for a policy has any police crime records and whether it is a risk customer. When you know that, you can make a better decision on whether it’s worth it or not to issue a policy to that individual.
Insurance analytics allows you to optimize operational processes by automating repetitive tasks such as compliance checks. This makes insurance companies’ processes more efficient and reduces the costs associated with handling claims manually and administratively.
Insurance Claims Dashboard
Get an overview of your company’s insurance claim metrics and answers to questions like how many claims you have received this month, how does the number compare to previous months, and what is their average cost, etc.
Insurance Enrollment Analytics Dashboard
This dashboard allows insurance professionals to track and monitor demographics of the customer base, patterns for enrollment, revenue gain over a specific period of time, and other key enrollment KPIs.
What is insurance analytics?
Insurance analytics is the process of collecting, processing, and analyzing large amounts of data from various data sources to effectively manage risk and offer the best insurance contracts.
How is analytics used in insurance?
Data analytics helps insurers to determine events and factors that could affect the outcome of claims, identify target potential markets and retain customers. Data analytics platforms provide insurers with a 360-degree overview of their customers and present them with actionable insights based on their historical data.
What is insurance analytics software?
Insurance analytics software helps insurance companies harness data to meet customer needs, predict risks and more. It brings powerful data analytics tools in the hands of the decision makers so they can view performance in real time and act accordingly.
Is Reveal insurance analytics solution suitable for all kinds of insurance companies?
It sure is. Reveal’s powerful data analytics functionalities can benefit life insurance companies, social insurance companies, property insurance companies, car insurance companies, travel insurance companies, etc.