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Optimizing P&C Operations With Sapiens Stingray And Moving Our Property & Casualty Insurance Client Into The Future With Dedicated IT Talent

Service offered: Dedicated IT Team and AWS Cloud Migration

Client Overview

Our Property & Casualty Insurance client is an insurance company that provides policies for homeowners, condo owners, renters, and businesses in Florida, Texas, and Louisiana. The Company was formed specifically with homeowners in mind. Their mission is to provide stable, comprehensive and affordable insurance options to people living in catastrophe-prone areas. The Company has more than 100 years of insurance experience working in Florida and other storm-prone areas, successfully managing exposure to natural disasters. The Company has been assigned a Financial Stability Rating® of A, Exceptional, from Demotech, Inc.

Challenges

The insurer was challenged by increasing competition in the P&C market and saw a need to increase its efficiency, offer quicker solutions to its customers, and reduce costs. Their goal was to improve their billing processes in order to streamline commissions. They opted for Sapiens Stingray (then Maximum Processing), which is a modular, browser-based P&C solution for policy (quoting, rating, issuance), billing, claims and reinsurance administration along with statistical bureau, DMV, imaging, credit card, general ledger, comparative raters, CLUE, 4SightBI, reporting and many other third-party interfaces.
Deployed in 2015 by their internal IT team and a third-party vendor, Sapiens Stingray fell short as the implementation was unsuccessful.
The insurer continued to use the failed Stingray implementation and spent a considerable amount of time, money and human resources (various dev teams) trying to fix the issues.

Additionally, they had various IT infrastructure and support needs that required around-the-clock maintenance and an ongoing IT project management structure. Their data warehouse was hosted in a datacenter in Tampa. Network connectivity was spotty, and refreshes did not happen regularly or on schedule.

The internal IT team also had challenges recognizing and understanding:

The P&C insurance domain for correct integration with processes and other systems.

Specific implementation and deployment expertise

Technical working knowledge of the Stingray platform

Lack of trust from other business units such as sales, finance, retail, etc.

Solution and Strategy

The Amzur team was brought in by Rads Mydam, CIO, to fix and maintain Stingray. In the beginning, the Amzur team was composed of four information technology (IT) consultants and one project manager. Additionally, the team defined and documented technical requirements. Amzur would stay on premises and work with the clients to perform software configurations, complex integrations, technical analysis and software development for complex integrations, working with the business units and other third-party vendors.

Deliverables

Amzur’s team reimplemented and deployed Sapiens Stingray in June 2016.

Amzur chose to migrate the data warehouse to Amazon Web Services (AWS) and design and implement the automation for warehouse refresh and reports using Python. The IT updates had to be done regularly to catch up with the ongoing demand and technical requirements, third party integrations, user requests, which halted operations across business units. While analyzing the needs of customers, the team found out that the company’s reporting was poor. They were not able to access the data themselves and had to reach out to a software developer. The business as a whole did not receive daily reports. The daily reports were generated by the software developer and then mailed to each business unit.

In order to improve process times, the Amzur team migrated, designed and implemented a private cloud in AWS for the development and testing environment of Stingray. After troubleshooting, the team fixed the billing and commissions modules because the former was not working properly, resulting in faulty invoice amounts being mailed out and commissions not being paid on time. It took 80 man hours to recalculate commissions and pay every month.

Methodology

The Amzur team designed and implemented an agile process for Sapiens Stingray as the property and casualty solution, featuring rapid development, implementation and configuration. Previously, the company’s IT team used waterfall methodology. They utilized Python to improve reporting functionalities, SQL and other systems in analyzing data extracts and interfacing projects, and data modelling and systems integration testing.

Benefits

Because the development team was previously utilizing waterfall methodology, it took two-to-three months on average for each release. Amzur initiated and implemented the agile methodology used today.
The Amzur team was able to optimize the release time to every two weeks. They continuously collaborated to improve the technical expertise of all platform users and taught the internal IT team to better understand the requirements of the P&C mandates and necessities. They improved and accelerated internal processes by 125%.
The Amzur team migrated, designed and implemented a private cloud in AWS for the development and testing environment of Stingray. The move to AWS helped reduce the dev/test cycle from two days to two hours. Post-migration, business units were able to receive their reports by a specific time as required. After fixing the issues related to the billing and commission modules, the Amzur team was able to improve invoice management. The commissions are now viewed in near real time.

The Amzur team members have been able to complete and provide successful results on the following projects for our P&C Insurance client:

Migrated workloads (finance software, website, etc.) from on-premises/third-party provider (Datatek) to AWS.

Implemented a new line of business: Dwelling Fire Voluntary.

Designed and implemented integrations with third-party vendors (Solupay, IVANS, ISO, Lockbox, etc.).

Helped migrate AS400 from Texas to Florida and configure on the Florida network.

Migrated claims adjustment software (Lozano) from .Net 2 to .Net 4 and moved production assets to AWS from a third-party solution provider.

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