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Common Data Model (CDM) Specification, Version 3.0 Note to programmers: The separate CDM parseable file is more helpful for direct use in implementation, and contains the complete table specifications.
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How to fill out common data model cdm

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How to fill out common data model (CDM)?

01
Start by understanding the purpose of the common data model (CDM). The CDM is a standardized, extensible collection of data schemas that enables organizations to share and integrate their data across different systems. Familiarize yourself with the CDM documentation and guidelines to understand the structure and requirements.
02
Identify the specific data entities and attributes relevant to your organization. The CDM consists of various pre-defined standard entities such as Customer, Product, Sales, etc. Determine which entities are applicable to your business and the specific attributes you need to capture and store.
03
Map your existing data to the CDM. Analyze your current data sources, systems, and databases and identify how they align with the CDM entities and attributes. Determine which data needs to be transformed or mapped to fit the CDM structure.
04
Determine data ownership and governance. Assign responsibilities for managing and maintaining the CDM within your organization. Identify the data stewards and data governance procedures to ensure the accuracy, quality, and consistency of the data within the CDM.
05
Validate and cleanse your data. Before populating the CDM, ensure that your data is accurate, complete, and up-to-date. Run quality checks, data validation processes, and data cleansing activities to eliminate any duplicate, inconsistent, or irrelevant data.
06
Populate the CDM. Start by entering your data into the predefined entities and attributes of the CDM. Follow the guidelines and best practices recommended in the CDM documentation to ensure proper data integration and standardization.

Who needs the common data model (CDM)?

01
Organizations looking to integrate and share data across different systems and platforms can benefit from the CDM. It provides a common data structure that allows for seamless data exchange and interoperability, facilitating better collaboration and data-driven decision-making.
02
Data architects and developers who are responsible for designing and implementing data models can leverage the CDM as a foundation. It offers a standardized framework that reduces the time and effort required to design and create data schemas, enabling faster development and data integration.
03
Businesses aiming to improve data quality, consistency, and governance can utilize the CDM. By adhering to the pre-defined structure and guidelines of the CDM, organizations can establish a solid foundation for data management, ensuring data accuracy and compliance with industry standards.
In conclusion, filling out the common data model (CDM) requires understanding its purpose, identifying relevant entities and attributes, mapping existing data, ensuring data quality, and populating the CDM following the recommended guidelines. The CDM is beneficial for organizations seeking data integration, data architects and developers, and businesses aiming to enhance data quality and governance.
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Common Data Model (CDM) is a standardized, pre-built data model schema for storing and analyzing data.
Organizations handling data are required to file Common Data Model (CDM) to ensure data is structured and consistent.
Common Data Model (CDM) can be filled out by mapping data attributes to the predefined schema provided by the model.
The purpose of Common Data Model (CDM) is to provide a standard structure for data that facilitates data analysis and integration across different systems.
Common Data Model (CDM) typically requires reporting of various data attributes such as entity relationships, data types, and definitions.
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