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Data and Analytics for Aerospace Manufacturers

Using Marsh’s innovative data and analytics tools, aerospace manufacturers can better understand their risks and make informed buying decisions on their insurance and risk management program.
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AeroSight

Our proprietary data and analytics tool, AeroSight, is designed to help aerospace risk professionals make informed buying decisions.

The tool enables us to examine historical and current market trends — including premiums, retentions, exposure, and limits.

Using anonymized information, our data and analytics team will benchmark your insurance program, and help you identify opportunities for improvement ahead of renewal meetings.

Our robust dataset covers:

  • 77+ underwriting partners.
  • 55 manufacturing aerospace clients.
  • Over US$1.45 billion in premium.
  • Upwards of US$265 billion in product liability limits.

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DataPac

DataPac is a user-friendly interactive data visualisation tool for aerospace manufacturers that provides a deep dive analysis of their risk portfolio.

It empowers you to understand your insurance performance on a granular level and consider new solutions and strategies to improve your total cost of risk. Our robust dataset can cover more than 30 years of your risk experience.

Key features

  • High level metrics
  • Premium and loss analysis
  • Placement details
  • Loss history
  • Rate on exposure
  • Modeling

This publication is not intended to be taken as advice regarding any individual situation and should not be relied upon as such. The information contained herein is based on sources we believe reliable, but we make no representation or warranty as to its accuracy. Marsh shall have no obligation to update this publication and shall have no liability to you or any other party arising out of this publication or any matter contained herein. Any statements concerning actuarial, tax, accounting, or legal matters are based solely on our experience as insurance brokers and risk consultants and are not to be relied upon as actuarial, accounting, tax, or legal advice, for which you should consult your own professional advisors. Any modelling, analytics, or projections are subject to inherent uncertainty, and any analysis could be materially affected if any underlying assumptions, conditions, information, or factors are inaccurate or incomplete or should change.
LCPA 24/104