With multiple subsidiary companies operating in different regions around the world and multiple lines of business, this Fortune 500 commercial lines property and casualty insurance holding company required a robust solution to manage their diverse range of insurance products. Their domestic and international operating units used a variety of systems to manage policy and claims data, and the systems were highly disparate after numerous mergers and acquisitions. As a result, data was not standardized on a common platform, making it difficult to compare financial performance of these subsidiaries and decide where to invest financial capital to optimize profitability.
OZ leverages Intelligent Automation to accelerate processes for Property and Casualty Insurers to turn their data into information, optimize processes, and make their businesses more competitive. With 99% accuracy and years-worth of work saved, Intelligent Automation can optimize the way Property and Casualty insurers derive business insights to achieve outstanding ROIs.
This client needed a centralized data store and descriptive analytics solution to improve financial reporting and decision making, which was a challenge given the disparity of its lines of businesses, processes, and systems. They needed an enterprise data warehouse with standardized financial and actuarial data to support the booking of earnings into the General Ledger (GL).
Using an AI and machine learning-based platform, OZ created an efficient and automated solution that allows integration, standardization, and delivery of enterprise data from multiple sources. The team analyzed the information needs of the client and identified critical opportunities to also streamline processes. With a focus on the overall Customer Experience (CX) and analytics, the solution did the following:
The solution improved business processes for the Fortune 500 commercial lines property and casualty insurance holding company in the following ways:
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