From metadata management to the data catalog

Metadata - definition and use in digitization

• Data and its metadata.
• Metadata as the foundation of every data governance initiative.
• Data-driven culture: Knowledge about data is the key to its use.

The data catalog: Overview

• Structure and functionalities of a data catalog solution.
• Practical example: Implementation of the presented usage scenarios in a data catalog solution.
• Mapping your own company: Metadata modeling.
• Sources for metadata and metadata collection.
• Visualize data movements: Data Lineage.

Structuring and modeling metadata

• Metadata model: Metadata types and their relationships.
• Practical example: A simple data model for metadata.
• The metadata layers of a data catalog.

Manage metadata

• Data governance for metadata: Responsibilities.
• Processes for metadata management.

Working in the data catalog (practical exercise)

• Understanding a key figure as an analyst : Researching the definition, responsibilities and origins of a key figure.
• Enter a new key figure.
• A data steward leaves the company: Reorganizing responsibility.
• Impact analysis: Assessing the effects of a change in the source system.
• Pass an audit: Prove the definition, responsibility, origin and quality assurance of a key figure.
• Maintain metadata: Recognize gaps and make updates.

The path to a data catalog solution: Project strategy

• Securing support: sponsors and stakeholders.
• Practical example: Project plan.
• Possibilities of modularization.
• Critical success factors and pitfalls in project implementation.