OMG P&C Data Model Publication How to Access on OMG Wiki Site and Direct Hyperlink Shortcuts to the key Documents. Save this file and view as Slide Show to activate hyperlinks. September 2013

Using the Data Model Publications For overall understanding: use Word or Adobe For visualization: Download HTML or ERwin. For inventory and definition lists & comparisons: use the Excel workbooks. For metadata interchange: use xml For database generation: use sql / ddl file Note: some files that end in “.zip” are not really zip files. Download and rename, removing the “.zip” from the ERwin, xml and the sql.ddl files and then they will open successfully. HTML is zipped, but download 1 st then run.

Go to You will see the below & project background or open this file as ‘Slide Show’ and click to access via Hyperlinks: Property and Casualty Data Model – OMG Approved Submission Adobe Acrobat Publication ( _p_c_data_model_submission.pdf) - read the background, requirements and Guidelines & Standards, and view the ‘print’ version of the Models in a Conceptual model and 14 subject areas in Logical and Physical views, with definitions and a Glossary (269 pages) _p_c_data_model_submission.pdf P&C Data Model Documents Imbedded or Illustrated in the Submission. 1st Time viewers may want to open first four documents before opening the above ‘Full Submission’. Word Publication ( _p_c_conceptual_data_model_overview.docx) – view the high-level data model identifying major entities and relationships of importance to the P&C business _p_c_conceptual_data_model_overview.docx PowerPoint Presentation ( _p_c_data_model_c-l-p_diagrams.pptx) - Summary with the Conceptual Model Entity Level overview followed by the major subject areas in Entity Level, Logical and Physical views _p_c_data_model_c-l-p_diagrams.pptx Excel Publication ( _p_c_data_model_glossary_of_terms.xlsx) – view the key definition of insurance and data model terms that are relevant to the Data Model _p_c_data_model_glossary_of_terms.xlsx HTML Model View ( _p_c_logical_data_model_r1.0_web_pub_v4.zip) - For readers without ERwin to view the data model diagrams and definitions in a browser. This is a true zip file; download and “Extract all files”, and then click on the 1st file in the folder to run the Table of Contents browser: ~P&C LDM Web Pub Table of Contents.htm in Internet Explorer or your default browser _p_c_logical_data_model_r1.0_web_pub_v4.zip Using the Data Model Publications, continued

Go to You will see: P&C Data Model Documents Imbedded or Illustrated in the Submission – Technical documents and model definitions in Excel: ERwin Definition ( _p_c_logical_data_model_r1.0_erwin_r erwin.zip) – view the Logical representation of the data models definition in the data modeling tool, ERwin, for users of this tool _p_c_logical_data_model_r1.0_erwin_r erwin.zip Excel Workbook ( _p_c_logical_data_model_workbook.xlsx) - view, sort, lookup, compare the Logical data model object definitions presented in a set of Excel spreadsheets _p_c_logical_data_model_workbook.xlsx ERwin Definition ( _p_c_physical_data_model_r1.0_erwin_r7.3.11_sql-server.erwin.zip) - view the Physical representation of the data models definition in the data modeling tool, ERwin, for users of this tool _p_c_physical_data_model_r1.0_erwin_r7.3.11_sql-server.erwin.zip Excel Workbook ( _p_c_physical_data_model_workbook.xlsx) - view, sort, lookup, compare the Physical data model object definitions presented in a set of Excel spreadsheets _p_c_physical_data_model_workbook.xlsx DDL File ( _p_c_physical_data_model_ddl_sql_server.ddl.zip) – Open and view the models as a Data Definition Language file _p_c_physical_data_model_ddl_sql_server.ddl.zip XML Definition ( _p_c_ldm_r1.0.xml.zip) - Logical data model definition in standard technical interchange XML, useable for import into other tools _p_c_ldm_r1.0.xml.zip NOTE: Other than the HTML file, Open -Save Files with the “.zip” extension then rename and remove the.zip as these are not Zipped files. Security will not allow ‘native-named’.erwin,.xml or.ddl files to be downloaded. Using the Data Model Publications, continued