Description: A foundational training course designed to equip participants with essential knowledge and skills in Professional Product Development (PPD), emphasizing data-centric approaches and best practices, potentially leveraging principles from ERWIN data intelligence solutions.
Target Audience: Entry-level product managers, business analysts, data architects, data modelers, and IT professionals involved in the product lifecycle and data governance.
Core Modules Include:
Introduction to the Product Development Lifecycle
Requirements Gathering and Analysis Techniques
Foundations of Data Modeling and Architecture (conceptual, logical, physical)
Data Governance and Metadata Management Principles
Agile Methodologies and Practices in PPD
Documentation and Communication Best Practices for Products
Learning Objectives:
Understand the end-to-end product development process.
Identify key roles and responsibilities within a PPD team.
Grasp fundamental data modeling concepts relevant to product design and data management.
Learn the importance of data governance and metadata in ensuring product quality and compliance.
Apply foundational principles for effective product documentation and communication.
Delivery Format: Typically instructor-led (virtual or in-person) or self-paced e-learning modules.
Prerequisites: Basic understanding of business processes and IT concepts is recommended. Familiarity with data concepts is beneficial.