- What’s in Common Data Model?
- Why does Common Data Model Stand out?
- How Does a Common Data Model Work?
- Why Use Common Data Model?
- Common Data Model in Action
- Importance of a Common Data Model
- Benefits of a Common Data Model
- Common Data Model and Synopsys
- Conclusion
What’s in Common Data Model?
The Common Data Model (CDM) is a unified data platform structure that simplifies data management and app development by unifying data into a known form and applying structural and semantic consistency across multiple apps and deployments. It is built upon a rich and extensible metadata definition system that enables users to describe and share their own semantically enhanced data types and structured tags, capturing valuable business insights that can be integrated and enriched with heterogeneous data to deliver actionable intelligence.
Why does Common Data Model Stand out?
The Common Data Model (CDM) is a framework used for standardizing data across different systems, enabling consistent data structure, meaning, and quality. It is a valuable strategy in environments where data is collected from various sources and needs to be integrated for comprehensive analysis and reporting.
The Microsoft Common Data Model is a collection of many standardised extensible data schemas with entities, attributes, semantic metadata, and relationships, which represent commonly used concepts and activities in various businesses areas. Common Data Model metadata system is used in conjunction with Microsoft Data verse, Azure implementations, Power platforms & MS Dynamics for easier data exchange, consumption and analytical processing.
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How Does a Common Data Model Work?
| Common Data Model | Standardized Data Framework for Information Exchange |
|---|---|
| Definition | A standardized data model facilitating data and information exchange between applications and data sources. |
| Purpose | Aims to standardize logical infrastructure so related applications can operate on and share the same data. |
| Significance | Described as a crucial component of a strong information system and typical of well-designed agile applications. |
| Implementation Example | X-trans.eu project, a cross-border initiative between the Free State of Bavaria and Upper Austria, utilized a common data model for approving large-capacity transports. |
| Climate Data Example | The Climate Data Store Common Data Model by the Copernicus Climate Change Service harmonizes climate variables from various sources. |
| SOA Specification | S-RAMP specification, released by major tech companies, defines a common data model for SOA repositories. |
Imagine having three business apps, each for materials, manufacturing, and sales. Each app was created independently, with different structures to represent an entity like an account. With a Common Data Model, you would have built your data in a standardized format using standard entities, attributes, and relationships. This allows each app to use the same data, making it easier to develop and integrate applications.
A comprehensive metadata system is essential for optimizing business processes in manufacturing. Utilizing Microsoft PowerApps and Power BI, companies can access and analyze standardized data elements from a Common Data Model repository. This integration enhances the accuracy of analysis and ensures that all necessary materials and information are available, improving overall efficiency.
Why Use Common Data Model For Your Business?
Using a Common Data Model simplifies data management solutions and app development by providing a unified structure for data. This structure ensures that data is consistent across multiple apps and deployments, making it easier to integrate and analyze. Additionally, it allows for the extension of the schema and standard entities to tailor the model to an organization’s specific needs.
- Standardized schemas, data entities, attributes, and relationships for consistent management, intrepretation & reporting.
- Ensures data can be interoperated with data from other systems or functional groups facilitating data exchange and collaboration.
- The CDM framework encompasses a data quality management & validation methods ensuring adherance to predefined standards for improved data quality, data engineering and reliability.
- Enables robust, automated and low maintenance data governance practices with clearly defined data ownership, stewardship, and accountability.
Common Data Model in Action
Common Data Model is influenced by data schemas present in Dynamics 365, covering a range of business areas. Thousands of independent software vendors (ISVs) and their partners use Common Data Model for their own solutions, building services and offerings based on Common Data Model schemas. Utilizing code-based platforms alongside low-code/no-code platforms can significantly enhance data management by catering to a diverse range of user needs. These platforms, when integrated with data integrators, provide seamless access to enterprise data and demonstrate the Common Data Model in action. By incorporating metadata effectively, organizations can achieve robust power analysis, ensuring precise and actionable insights from their data.
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Importance of a Common Data Model
A Common Data Model is crucial for driving business reliability and trust on enterprise data. It ensures that data is structured and consistent across the organization, making it easier to manage and analyze. This consistency also enables better integration and interoperability between different systems and applications, reducing the complexity of data management and improving overall business performance.
It offers several advantages that can improve efficiency, accuracy, and overall data utilization within an org.
Benefits of a Common Data Model
A robust metadata system is crucial for enhancing business processes, especially in industries like manufacturing. Tools such as Microsoft PowerApps and Power BI leverage a Common Data Model repository to streamline the integration and analysis of data elements. By standardizing and centralizing data, these platforms improve the accuracy of analysis, ensuring that all relevant materials and information are readily accessible for informed decision-making. This integrated approach not only optimizes operational efficiency but also supports the seamless execution of complex business strategies. The benefits of a Common Data Model include:
- Structural and semantic consistency across applications and deployments
- Simplified integration and disambiguation of data from various sources
- A unified shape for data integrations, allowing for the combination of existing enterprise data with other sources
- The ability to extend the schema and standard entities to tailor the model to an organization’s specific needs
- Improved data quality through standardization and consistency
- Enhanced data governance through the definition of data requirements upfront
- Better documentation for long-term maintenance and understanding of business processes
- Reduced cost and time for application development and maintenance
- Improved scalability and support for future growth
- Promotes standardization and consistency in data representation across the organization
- Supports decision making through the provision of valuable insights and structured data
Common Data Model: Quantzig Insights
Quantzig, a premier analytics and advisory firm, recognizes the strategic advantage of adopting a Common Data Model (CDM). Leading providers of electronic design automation (EDA) software leverage the Common Data Model to streamline and integrate data across their myriad applications. By standardizing their data structure, these organizations ensure data consistency and reliability, which is critical for robust data analysis and informed decision-making.
This standardized approach facilitates seamless integration and interoperability between diverse systems and applications, significantly reducing data management complexities. As a result, they experience enhanced operational efficiency and improved business performance. According to Quantzig’s expertise, such strategic implementation of a Common Data Model not only simplifies data management but also fortifies the analytical foundation, empowering companies to sustain their competitive edge in a data-driven landscape.
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Conclusion
In conclusion, a Common Data Model is a crucial tool for driving business reliability and trust on enterprise data. By providing a unified structure for data, it simplifies data management and app development, ensuring consistency and reliability across multiple apps and deployments. The benefits of a Common Data Model include improved data quality, enhanced data governance, better documentation, reduced cost and time, improved scalability, and promoted standardization. As an expert in the domain, Quantzig emphasizes the importance of adopting a Common Data Model to ensure the reliability and trustworthiness of enterprise data.
Author: Associate Vice President, Analytics and Data Strategy, Quantzig.
