Date
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.
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Meeting ID: 989 0880 4279
Passcode: 740215
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Meeting ID: 989 0880 4279
Find your local number: https://zoom.us/u/aAqJFpt9B
Attendees
- Dina Burgess (Deactivated)
- Daniela Barbosa
- Dale Harris
- Ruturaj Waghmode (Deactivated)
- Brian Hoffman
- Ken Sayers
- Kristian Farner
- Lori Dreaver Munn (Deactivated)
- Megan Ebling
- Peter Antley
- Robin Westcott (Deactivated)
- Satish Kasala
- Stephen Lee
- Susan Chudwick
Goals
- Define Charter
- Identify key stakeholders
- Review Automobile Statistical Data Model
- Review Data Dictionary
Discussion items
| Time | Item | Who | Notes |
|---|---|---|---|
| 30min | Review Charter | Ruturaj Waghmode |
|
| 15min | Automobile Statistical Data Model Overview | Peter Antley | |
| 15min | Walk through Data Dictionary Draft | Peter Antley | |
| next meeting | Define key stakeholders | Group | |
Action items
Review Charter:
- Research and assess relevant industry reference regulatory reporting
data models and data standards
- Recommend industry reference data models and data standards that may be referred or incorporated into regulatory reporting data models
- Review, refine and document regulatory reporting data models
- Recommend data models to openIDL Steering Committees for approval
- Review requests for, analyze, design and document updates to regulatory reporting data models
- Data models discussed, created & documented are published as open source
- Identify Actors and their perspectives/views that are applicable for a given data model