Ah, internal data and external data are like two different colors on your palette. Internal data is like the colors you mix together yourself, it comes from within your organization. External data, on the other hand, is like the colors you find in nature, it comes from outside sources like market research or public databases. Both types of data are important for creating a beautiful picture of your business, so don't be afraid to blend them together to make something truly special.
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Internal data refers to data generated, stored, and managed within an organization, such as sales figures or employee records. External data, on the other hand, is data obtained from outside sources, such as market research reports or social media analytics. Internal data is typically more specific to the organization itself, while external data provides broader industry or market insights.
An external source of data is a connection to an external data base and contains data that does not change much. The difference of internal source of data is data that can change because it comes from sources inside an organization including inventory transactions, purchase orders, and sales.
An internal data schema is the structure or blueprint that defines how data is organized and stored within a database system or application. It typically includes details such as data types, relationships between different data elements, and rules for data validation and storage. Having a well-defined internal data schema is essential for ensuring data integrity, efficiency, and consistency in data processing.
A context diagram focuses on showing interactions between a system and external entities, such as users or other systems, without detailing the internal workings. Data stores are considered internal to the system, so they are not shown in a context diagram to keep the diagram simple and to maintain a high-level view of the system's boundaries and connections.
Advantages of internal data include control over the collection process, access to proprietary information, and potential for higher accuracy. However, disadvantages may include limited quantity of data, potential bias, and lack of external validation.
External users demand information from the organisation inorder to make investment decisions.If the organisation is doing well it attracts more investors thus increasing the wealth of an organisation.