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HELSINKI SCHOOL OF ECONOMICS (HSE) Department of Management A STANDARD DATA MODEL FOR PRODUCT DEVELOPMENT DOCUMENTS B2B Integration of Document Management Systems Using Rosette Information Systems
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02
Determine the entities or objects that will be included in the data model. These can be physical objects, concepts, or events that are relevant to the data being modeled.
03
Define the attributes of each entity. Attributes are characteristics or properties that describe the entities. For example, if you are modeling a customer, attributes may include name, address, and contact information.
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Establish relationships between the entities. Identify how different entities are related to each other and specify the type of relationship (e.g., one-to-one, one-to-many, many-to-many).
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Assign appropriate data types and constraints to the attributes. Data types define the format or type of data that can be stored in the attribute, while constraints ensure data integrity and validity (e.g., specifying that a certain attribute cannot be left blank).
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Organize the entities and relationships into a logical structure. This can be done using various techniques such as entity-relationship diagrams or UML diagrams.
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Validate the data model by reviewing it for accuracy, completeness, and consistency. Make any necessary revisions or adjustments based on feedback from stakeholders or domain experts.
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Organizations that deal with complex data structures and need a clear representation of their data.
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Business analysts and data architects who are responsible for designing and managing databases.
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Data governance teams who ensure data quality, privacy, and compliance within an organization.
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What is a standard data model?
A standard data model is a blueprint that defines the structure and format of data to be collected, stored, and managed within an organization.
Who is required to file a standard data model?
Organizations in certain industries or sectors may be required to file a standard data model based on regulatory requirements or industry standards.
How to fill out a standard data model?
A standard data model can be filled out by documenting the data elements, relationships, and data rules that are relevant to the organization's data management processes.
What is the purpose of a standard data model?
The purpose of a standard data model is to ensure consistency, accuracy, and efficiency in data management and decision-making processes.
What information must be reported on a standard data model?
A standard data model typically includes information on data entities, attributes, relationships, and constraints.
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