A global reinsurance company was facing difficulty utilizing data analyses to effectively create differentiation in its core products. The company wanted to create new products based on rich data history and additional external data to drive margin improvement.
The SSA & Company team developed a method to identify inefficiencies in data analysis and client engagement gaps by identifying differentiators that could be augmented by automation, process improvement, and digitization. We analyzed the current technology stack and strategic architecture to define a best-fit future state, and conducted internal and external research to identify best practices that could be leveraged to produce disruptive new products based on existing data assets.
Increase of $200M in overall revenue after adjustments in product line and new product development
Margin improvement in core CAT product and 4 innovation pipeline projects in the first 6 months
Designed a 3-5 year vision for improvement and disruption, with focus on quick wins and time to value
Increase of $200M in overall revenue after adjustments in product line and new product development
Margin improvement in core CAT product and 4 innovation pipeline projects in the first 6 months
Designed a 3-5 year vision for improvement and disruption, with focus on quick wins and time to value
A provider of risk-adjustment/HEDIS chart retrieval, coding/abstraction, and analytics was faced with significant declines in margins due to reduced demand and increased competition.
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A top reinsurance company faced difficulty in integrating disparate internal stakeholder groups impacting a key migration program’s deliverables and timelines.
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A provider of dual Medicare/Medicaid eligibility services sought to optimize outreach and enrollment processes to profitably maximize revenue yield.
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