Daphne DouglasChief Data Officer · Essays & perspective

Daphne Douglas / Chief Data Officer

Three letters on what insurers owe the data behind their decisions

Perspectives from a life in leadership.

The latest essay

Catastrophe exposure data5 min read

Fix the address before you buy the wildfire model

Canadian insurers are licensing wildfire models faster than they are correcting where their policyholders' homes actually stand. A model run on postal-code locations produces confident numbers about the wrong houses. Exposure data should come first, and the model's limits should travel with every price it sets.

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The archive.

Catastrophe exposure data

  1. Catastrophe exposure data5 min read

    Fix the address before you buy the wildfire model

    Canadian insurers are licensing wildfire models faster than they are correcting where their policyholders' homes actually stand. A model run on postal-code locations produces confident numbers about the wrong houses. Exposure data should come first, and the model's limits should travel with every price it sets.

    Open essay

Automated decisions and privacy

  1. Automated decisions and privacy5 min read

    Every province's customers deserve Quebec's automated-decision notice

    Quebec's private-sector privacy law requires a business to tell people when a decision about them rests solely on automated processing. Haverlock now gives an equivalent notice in every province where it writes. It costs money and removed some rating variables, and it made our models and our data better.

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Regulatory reporting data

  1. Regulatory reporting data5 min read

    Validate the capital return as carefully as the pricing model

    Insurers put their pricing and reserving models through independent challenge, yet the chain of systems and mapping tables that turns policy and claims records into a capital return is usually treated as a reporting routine. Its judgements deserve owners, change control and validation.

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