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Mar 18
1. Improved data quality: Data modelling helps in identifying and correcting errors in data, ensuring that the data is accurate and consistent.
2. Enhanced data consistency: Data modelling helps in standardizing data definitions and formats, ensuring that data is consistent across different systems and applications.
3. Better decision-making: Data modelling helps in organizing and structuring data in a way that makes it easier to analyze and interpret, leading to better decision-making.
4. Increased efficiency: Data modelling helps in streamlining data processes and workflows, leading to increased efficiency in data management and analysis.
5. Improved data governance: Data modelling helps in establishing data governance policies and procedures, ensuring that data is managed and used in a compliant and secure manner.
6. Facilitates data integration: Data modelling helps in integrating data from different sources and systems, making it easier to access and analyze data across the organization.
7. Supports scalability: Data modelling helps in designing data structures that can easily scale as the organization grows and data volumes increase.
8. Facilitates communication: Data modelling provides a visual representation of data structures and relationships, making it easier for stakeholders to understand and communicate about data requirements and processes.
2. Enhanced data consistency: Data modelling helps in standardizing data definitions and formats, ensuring that data is consistent across different systems and applications.
3. Better decision-making: Data modelling helps in organizing and structuring data in a way that makes it easier to analyze and interpret, leading to better decision-making.
4. Increased efficiency: Data modelling helps in streamlining data processes and workflows, leading to increased efficiency in data management and analysis.
5. Improved data governance: Data modelling helps in establishing data governance policies and procedures, ensuring that data is managed and used in a compliant and secure manner.
6. Facilitates data integration: Data modelling helps in integrating data from different sources and systems, making it easier to access and analyze data across the organization.
7. Supports scalability: Data modelling helps in designing data structures that can easily scale as the organization grows and data volumes increase.
8. Facilitates communication: Data modelling provides a visual representation of data structures and relationships, making it easier for stakeholders to understand and communicate about data requirements and processes.
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