Stibo Data Modeling

1. Entity Definition: Define data entities such as products, customers, and suppliers.

2. Attribute Specification: Specify attributes like name, description, and price for each entity.

3. Relationship Establishment: Establish relationships between entities to represent connections.

4. Hierarchy Management: Organize entities into hierarchical structures for better organization.

Before learning Stibo Data Modeling, it's beneficial to have the following skills:

1. Data Management Concepts: Understanding of fundamental data management concepts like entities, attributes, relationships, and data modeling principles.

2. Domain Knowledge: Familiarity with the domain or industry-specific data models and terminology relevant to the organization's business processes.

3. Analytical Skills: Ability to analyze business requirements and translate them into data model designs that meet the organization's needs.

4. Communication Skills: Effective communication skills to collaborate with stakeholders, gather requirements, and explain data model designs.

By learning Stibo Data Modeling, you gain the following skills:

1. Data Modeling Proficiency: Ability to design and create data models using the Stibo MDM platform, including defining entities, attributes, and relationships.

2. Master Data Management (MDM) Knowledge: Understanding of MDM concepts and practices for managing master data effectively across the organization.

3. Data Governance Implementation: Skills to implement data governance policies and standards within the data model to ensure data quality, consistency, and compliance.

4. Business Process Understanding: Insight into the organization's business processes and requirements, enabling you to design data models that align with business needs.