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EncartaLabs

Stibo - Data Modeling

( Duration: 4 Days )

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.

COURSE AGENDA

1

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.
2

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
3

Expand an existing data model in STEP.

  • Give examples of the STEP data model configurations for Retail, and Manufacturing.
4

Troubleshoot issues in STEP occurring during data model configuration.

  • Reconstruct the data model attribution to avoid orphan attributes.
5

Identify gaps between business requirements and STEP solutions.

  • Relate business requirements detailed in the data model documentation with 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.

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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