The Data Product
Masterclass.
Revamp your organization's data strategy with our extensive 10-part series, from basic principles to advanced operational models.
Module Directory
10 Topics AvailableData Product 101
Gain insights into the importance of understanding the purpose and content of data products. Delve into the fundamentals of transforming data from a static tool to a valuable resource.
Resource vs Product
Learn how to stop viewing data as waste and instead leverage it to generate direct business ROI through strategic shifts in engineering.
The DaaP Mindset
Shift from viewing IT projects as the primary focus to embracing a product management approach. Understand the cultural change required for achieving success with data.
Architecture & Ports
Discover the inner workings of a Data Product: examining code, data, and infrastructure components. Gain insight into input, output, and control ports.
Core Attributes
Explore the 6 core principles: Discoverable, Accessible, Trustworthy, Self-describing, Interoperable, and Secure
Software vs Data
Comprehend the core distinctions between probabilistic testing and state management that complicate data analysis.
Validation Tension
Navigate the challenge of the builder: finding a balance between in-depth algorithm research and quick user validation for market entry.
Experimentation
Become skilled in both driving forces of growth: confirming Technical Intelligence and demonstrating Market Value and user acceptance.
The Drivetrain
Advance from passive predictive models towards constructing prescriptive engines that autonomously adjust levers to achieve business KPIs.
Operating Models
Organize your teams to accommodate growth by considering Centralized, Hub & Spoke, and Full Data Mesh organizational models.