Stibo - Data Modeling Training Course and Workshop in Bangalore, Mysore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata

This Stibo - Data Modeling training course provides the knowledge and skills to build a data model in STEP, focusing on the product domain, built from a given conceptual design of the customer’s requirements.

By attending Stibo - Data Modeling workshop, delegates will learn to:

Build a data model in STEP based on common/good practices.
Maintain an existing data model in STEP over time.
Expand an existing data model in STEP.
Troubleshoot issues in STEP occurring during data model configuration.
Identify gaps between business requirements and STEP solutions.
Evaluate business requirements defined in the specification documents.

Attend a training on Stibo - MDM Solution Fundamentals or equivalent practical knowledge
Experience with relational databases, object-oriented design and general MDM knowledge
At least one year of application consultancy experience and/or system implementation

The Stibo - Data Modeling class is ideal for:

Application consultants or other roles responsible for transforming the conceptual design of a STEP solution into a functional configuration.

Build a data model in STEP based on common/good practices.

Apply attribute validation using List of Values (LOV).
Recall attribute validation using List of Values (LOV).
Define category-specific attributes to product hierarchy, allowing for inheritance of attribute values.
Complete instantiated product, classification and entity hierarchies based on established data model configuration for testing the data model.
Recall data validation on attributes using different attribute validation base types (e.g. Text, Number, Date, and List of Values).
Apply reference inheritance to Product-to-Product reference types.
Locate grouping of attributes.
Add calculated attribute functions (i.e. extract and concatenate) on attribute values of a product.
Add Entity to Entity Reference types.
Exemplify when to use auto-generated IDs to object type instances.

Maintain existing data model in STEP over time.

Identify the impact of modifying or expanding attributes, references and hierarchy structures (e.g. product, classification or entity) to an existing data model.
Implement dimension dependency to attributes.
Comprehend pros and cons of calculated attribute usage and when to use business rules alternatively.
Adapt the data model to allow for bundling of products (e.g. for sales-promotion purposes).
Apply configurations to the data model that control the order of attributes displayed in the Workbench and in the Web UI.
Add Reference type for relationships between product and classification object types.
Add Product to Asset Reference types.
Extend an existing product hierarchy by configuring a family of product variants.
Extend an existing product data model to allow for a buy-side/sell-side model

Expand an existing data model in STEP.

Give examples of the STEP data model configurations for Retail, and Manufacturing.

Troubleshoot issues in STEP occurring during data model configuration.

Reconstruct the data model attribution to avoid orphan attributes.

Identify gaps between business requirements and STEP solutions.

Relate business requirements detailed in the data model documentation with existing STEP
system functionality.

Evaluate business requirements defined in the specification documents.

Establish Entity hierarchies.
Implement Asset classification structures.
Establish Product hierarchies.
Establish Classification hierarchies.

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Stibo - Data Modeling