Level: Beginner to Intermediate
Prerequisite: None
Pradeep Karpur
Partner
Technology Consulting - Data and Analytics (EY)
This course empowers data and analytics professionals to revolutionize their approach to data. Students will master the concept of data as a product, a paradigm shift from traditional project-based data handling to a sustainable, value-driven product model. You will learn to identify and develop various data products, from data sets to analytics models, understanding their unique lifecycles and contributions to business value.
Pradeep Karpur will guide you through a capability model essential for nurturing a data product mindset, highlighting the roles and collaborative efforts of data engineers, scientists, analysts, and product managers. Karpur will explore the operating model of a data product-centric organization and discuss the necessary structural and cultural changes for supporting this innovative approach.
You will leave with a comprehensive understanding of how to foster a data product culture and implement best practices for team organization, success measurement, and continuous innovation. This course is a stepping stone to driving organizational growth, improving customer experiences, and securing a competitive advantage through strategic data product management.
You Will Learn
- The challenges that face data analytics professionals when a traditional project-based mentality is applied to data analytics, and why a data product model is important
- What a data product mindset means, and how to transition from a project mindset to a product mindset
- The composition of a data product, which is much more than a star schema or a dashboard
- The types of data products
- The steps involved in the journey to reach a mature data product
- A data product capability model that you can establish to embrace the data product approach, which includes governance, SDK, infrastructure, ways of working, lifecycle management, and more
- A data product operating model that identifies the roles and the organizational structure required to embrace data as a product
- How a data product marketplace streamlines the publication of data products, enables the consumption of those products, and provides a mechanism for governance of those products
Geared To
- Product managers and product owners
- Project managers
- Data architects and engineers
- Data governance teams
- IT and data operations teams