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STEP DATA MODELLING

STEP DATA MODELLING
Configuring a data model in STEP.


This course is targeted towards application consultants or other roles responsible for transforming the conceptual design of a STEP solution into a functional configuration



Prerequisites :

 Stibo Systems Academy courses (or the knowledge taught in this course acquired in other ways)
o STEP_101 - STEP Solution Fundamentals
 Experience with Relational Data bases, object oriented design and general MDM knowledge will
be helpful for participants in this course.
 At least one year of application consultancy experience and/or system implementation.

Course Content:

1 - 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 to allow downstream systems to organize attributes in a
defined order.
 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 existing product data model to allow for a buy-side/sell-side model.
2 - Expand existing data model in STEP within existing and new
domains

 Give examples of the STEP data model configurations for different verticals, such as Automotive,
CPG-GDSN, Retailer, Finance, Manufacturer, Healthcare, Distribution, Hospitality, and Apparel.
(4k)

3 - Troubleshoot issues in STEP occurring during data model
configuration

 Reconstruct the data model attribution to avoid orphan attributes.

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

 Apply attribute validation using List of Values (LOV).
 Apply 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.
 Administrate 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.

5 - Identify gaps between business requirements and STEP solutions

 Relate Business requirements detailed in the data model documentation with existing STEP
system functionality and confirm when requirements cannot be met by existing STEP system
functionality.
6 - 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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