The Making of a Data Organization - Building Successful Data Teams and Value Delivery
Data Science Conference via YouTube
Overview
Learn how to build successful data organizations through insights from a conference talk delivered at DSC Europe 2022. Drawing from experience across 37 data projects with clients generating $350B in revenue, discover the Operating Model Canvas and Value Delivery Process frameworks that transform data teams from cost centers into value generators. Explore common pitfalls in data projects, including issues with KPIs, data pipelines, and ML predictions, while understanding how to create consumable artifacts that drive business value. Through a detailed case study and conceptual framework, examine the essential components of effective data organizations - from process implementation and skill development to role definition and project management. Master practical strategies for improving adoption rates, managing changing objectives, and establishing data teams that deliver measurable business impact rather than just technical solutions.
Syllabus
Introduction
Welcome
A simple question
About Denys
Why do projects fail
Consumable artifacts
Changing objectives
Weak adoption
Mismanagement
Solution
Process
Skills Roles
Conceptual Framework
Case Study
Taught by
Data Science Conference