This is primarily possible by harnessing the power of technology through innovative business intelligence and analytics platforms that understand the meaning and value of data collected on policyholders, claims, and underwriting performance. Cloverleaf Analytics, based in Austin, TX, is a high-performing insurance data analytics firm, offering a product suite that provides this competitive data analytics edge for insurers. The driving mission of the company, as President and CEO of Cloverleaf, Robert Clark puts it, “Insurance companies have amassed a gold mine of data, but it is often locked up in older disjointed legacy systems that limits their access and meaningful use of the data. We provide an affordable pre-built insurance business intelligence and analytics solution that solves just that problem. Our products seemlesly cleanse and consolidate the data into a single repository, putting powerful insurance data analytics right at our customers’ fingertips, in real-time.”
Cloverleaf Analytics was born out of the need for better data consolidation and analysis within the often complex insurance industry. The leaders of the company have spent decades focusing their energy on creating and delivering sound insurance solutions to meet these needs. “Because we have years of experience in the insurance domain, we know what types of data insurance companies have in their systems and how to get at it. We know which data is important for different lines-of-business, and which is relevant for advanced analytics. Based on this expertise, we developed a dynamic solution that loads and validates the data for all lines of business, calculates over 500 insurance KPIs and provides unlimited analytical capabilities,” explains Clark.
Data Solutions for Today’s Market
There’s another problem that adds to the prevalence of legacy systems and the disconnected collection of data. Over time, the shifts from one system to the next has resulted in data that carries multiple footprints from each system through which it has migrated.
Our customers can marry up outside data, like social media or census information, with their insurance data to garner even more insight into their customers
In some cases, the insurance company data has gone through so many iterations of system migrations that it is hard to understand or find analytical value in it. Cloverleaf works to find the value and ultimately cleanses this data with the help of strategically designed business rules engines built into their loading process. When companies are able to gain access to cleansed data specific to their lines-of-business, they are empowered with the best, most accurate information to make confident informed decisions.
Clark emphasizes the ETL (Extract, Transform, Load) process approach that Cloverleaf’s solutions take. “Our system loads insurance data from a variety of sources and operational systems like claims management, accounting, and policy administration applications. We have built-in tools to run the datasets through multiple levels of validations to ensure the accuracy and quality of the data. The validations include typical IT checks for data lengths, types, and formats as well as referential integrity, code translations, and most importantly, insurance business rule checks.” As the data is loaded, business rules are applied to it to ensure that insurance business logic is adhered to. A simple example would be validating that claims are attached to proper coverages on a policy. Insurance companies also have the opportunity to customize this validation process, without any programming, adding their own rules to validate or correct any issues that are unique to their company. Once the data is collected, cleansed, and passes validations, it is loaded into an operational data store and data warehouse.
Utilizing industry models on an open platform, Cloverleaf gives insurance companies actionable insights relating to their business from a variety of sources. For instance, “Customer retention and loss ratio [ratio of policy premium to claims paid] are major factors in the success of an insurance company. The longer the customer stays with the company and the lower their loss ratio, the more profitable they are. Analyzing the right data internally along with data joined or mashed-up from external sources allows insurance companies to identify the characteristics and demographics of those customers with the highest rate of retention and lowest loss ratios. Using these unique customer characteristics and demographics, the company can develop marketing plans to target these types of individuals specifically,” states Clark. Just this one example of targeted marketing gives insurance companies a greater chance of increasing profitability over time.
In addition to the powerful rules engines behind Cloverleaf’s platform, insurance companies also have access to in-depth reporting based on real-time and historical data, as well as dashboards with built-in planning tools.
A Foundation of Innovation
Cloverleaf Analytics takes pride in using the most cutting edge technology in its suite of business intelligence solutions. The robust nature of the company’s platforms is based on this innovation. “Our customers can marry up outside data, like social media or census information, with their insurance data to garner even more insight into their customers. This ability to join or mashup pertinent business information is the core of our business and something that simply can’t be done with competing or legacy systems,” notes Clark. The continued innovation driving Cloverleaf’s technology solutions is built on the inquisitive environment of the company’s expert team. Everyone has the opportunity to experiment with new technology, and Clark shares that team members are encouraged to do so. This leads to new paths for Cloverleaf’s solutions and ultimately, greater reach into the insurance industry as a whole.
"Insurance companies have amassed a gold mine of data, but it is often locked up in older disjointed legacy systems that limits their access and meaningful use of the data"
In addition to helping customers wade through the complexities of compliance and state insurance bureau regulation and reporting, Cloverleaf pushes the envelope when it comes to infusing new technology in its data analytics. Clark recently spoke about the influence machine learning and artificial intelligence will have on the insurance industry in the coming years. He states, “The technology for certain issues in the insurance space does not yet exist, but we are constantly trying to apply technologies like AI and cognitive computing to different scenarios to see what might work. We’re always looking for new ways to do things.” As an ultra-marathon runner, Clark credits his constant drive to his passion for running. He explains that while training for ultra-marathons, it can be a long road, but with hard work and perseverance, you will be successful. Cloverleaf follows that credo while enhancing its business intelligence solutions to solve even greater and more complex issues for insurance companies in an ever changing insurance landscape.
Cloverleaf Analytics product offering has been very well received in the insurance industry and is one of the only free standing, independent insurance business intelligence solutions available. Clark notes that they continue to focus on adding new features for insurance companies to use as they harness the power of Cloverleaf Analytics’solutions. In addition, the company is poised for strong growth in the coming months, making strides toward offering business intelligence solutions to other areas of insurance companies’ business models, including accounting, investments, and reinsurance. Clark feels strongly about the positive impact that new partnerships, with other leading insurance industry vendors, will have and the position these collaborations put Cloverleaf in, for the years to come.