Introduction to Data Flow Model
Manas Jain
Strategic Leader in Technological Innovation & Data-Driven Solutions – Simplifying Complexity into Excellence | Author | Udemy Instructor
Effective data management is crucial for the success of any organization. To effectively manage data, it is essential to understand the flow of data within an organization. The data flow model provides a framework for analyzing data production, consumption, and storage within and between organizations. This model identifies the sources of data production, the steps involved in data consumption, and the different stages of data storage.
The data flow model is not limited to within an organization. It can be used to analyze the flow of data between organizations as well. The model is relevant in various data management situations, such as in a manufacturing organization, a healthcare organization, or a financial organization. It can help identify the data sources, the data flows, and the data storage requirements needed to design an effective abstract data landscape.
An abstract data landscape is a conceptual model of an organization’s data resources. It provides a high-level view of the organization’s data assets and the relationships between them. By using the data flow model to design an abstract data landscape, organizations can better manage their data assets and improve data quality, processing, and security.
The complete article is available at: https://medium.com/@manas.jain/the-data-flow-model-a-framework-for-effective-data-management-b2d10e712ede