The Ultimate Guide to Data Products

Moving from data to data-as-a-product

In this guide, we’ll unpack the emerging discipline of Data Products, what they are, why they matter, and how the most successful data and AI teams are using them to scale reliable, high-impact analytics across the enterprise.

Drawing from real-world implementations and lessons from the pioneers of data observability, this guide provides a step-by-step framework for building, maintaining, and governing data products that deliver measurable business value.

You’ll learn:

• What defines a data product and how to shift from “data” to “data-as-a-product”

• The foundational design principles, from SLAs to documentation and ownership models

• How to measure reliability with key metrics like time-to-detection and data downtime

• How leading teams use data + AI observability to ensure quality, trust, and scalability

• Best practices from real-world examples, including how Choozle reduced downtime by 88%

Whether you’re building your first data product or scaling a self-service data marketplace, you’ll get the frameworks, metrics, and playbooks that bring clarity, accountability, and trust to every layer of your data ecosystem.