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ks agoDate
Attendees
This is a weekly series for The Regulatory Reporting Data Model Working Group. The RRDMWG is a collaborative group of insurers, regulators and other insurance industry innovators dedicated to the development of data models that will support regulatory reporting through an openIDL node. The data models to be developed will reflect a greater synchronization of data for insurer statistical and financial data and a consistent methodology that insurers and regulators can leverage to modernize the data reporting environment. The models developed will be reported to the Regulatory Reporting Steering Committee for approval for publication as an open-source data model.
openIDL Community is inviting you to a scheduled Zoom meeting.
Join Zoom Meeting
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Meeting ID: 989 0880 4279
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Attendees
- Peter Antley (AAIS)
- Dale Harris (Travelers)
- Reggie Scarpa
- Ash Naik (AAIS)
- Brian Hoffman (Travelers)
- Jenny Tornquist
- Ken Sayers (AAIS)
- Kevin Petruzielo (Hartford)
- Libby Crews
- Michael Payne (AAIS)
- Patti (Hanover)
- Susan Chudwick (Travelers)
- Jeff Braswell (openIDL)
- Sean Bohan (openIDL)
- Mason Wagoner (AAIS)
- Mike Nurse (Hartford)
Minutes
- After residential property, what is next?
- Catastrophe maybe next?
- Business Interruption? maybe not
- PA talked to fire expert at AAIS
- (PA showing hurricane reporting form)
- Questions can all be answered with claims tables developed in this group
- Personal Auto, Commercial Auto, Personal Property, Commercial Property, Business Interruption, Flood, Other
- Have stat plans for all
- PA to look into how commercial property is loaded
- what stat plan would it come in on for Flood?
- Fields for commercial vs personal auto
- (DH shares screen for commercial vs personal auto)
- Day 1, 2, 3 type fields - only thing in stat files today is day 1, gone thru and ID'd personal, commercial, both and separate
- PA, JM and DH working on dividing up fields by field type
- DAY 1
- for Day 1, apply to both personal and commercial (DH goes through the spreadsheet)
- MN - keep in mind, right now focusing, can we look at some fields holistically, as we expand we want to make sure same meaning is across the board, not need to go back and make adjustments
- for data model for auto, can apply to mult lines
- can only have one stat agent in a given state per company
- DH - only diff they see is Mass and Texas
- DH - as we think about putting together data structure - how many diff tables will be needed - where is the overlap between personal and commercial auto
- may have pricing terms within personal but not commercial, may use alt companies on either side too (differentials in price)
- Driver attributes are personal only
- most coverage rows apply to both
- NJ threshold tort limit is personal only, combined first party benefits is personal
- Catch up on AWG documentation
- Peter to find raw copies of stat plans and start implementing changes
- dont want to onboard a carrier and not have documentation for what and where everything is
- cobble together our own stat plan
- one stat plan for personal and commercial auto? can we build a strong foundation for the data we are working with? Suggest we have a stat plan for auto, for commercial auto and full documentation for standalone things - as time goes on we can add more/not diverge
- Begins to intro notion of wherre do you put things into more than one table - ease into the topic
- Personal and commercial auto are TWO different insurances - logical to separate (esp at the DB level) - should be true with Day 2, Day 3 fields as well
- do you have something consistent with auto, things that are variations - data modeling discussion
- keep it straight for people using it - make it easy to onboard people
- How big of data should we make the openIDL pipelines support - how much in a month or how much to store?
- When you do a batch to load, an average 1/12th of a year or so, depends on how many customers and what line of business, all lines for a given month?
- when we have a job that needs to be within a threshold like end of month submission, how big/how much?
- is 10MM a month per carrier a decent sample size we are sure we could handle - DH says to be safe double it
- 20-30MM, robust loading, anyone who can handle 30MM should be good
- as soon as we get more test data set up, more lines, want to try to get some regulators and see some sample data calls
- data catastrophe call - get EPs in Feb or Mar, putting data in, doing catastrophe in MISS, could do these calls on any using data standards, look at historic data calls this spring
- want to reach out and speak with Regulators, produce value for them
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