Contact

Your Guide to Data as a Product

REQUEST A COMPLIMENTARY CONSULTATION

What You’ll Learn

In this guide, you’ll learn how to adopt a Data as a Product mindset by building a clear roadmap that defines what a data product means for your organization. You’ll explore how to classify and document data, capture usage requirements, and design with production in mind so that every product delivers meaningful business value.

You’ll also learn how to productionalize data management, ensuring your products are trusted, accessible, and secure at scale. The guide covers how to embed collaboration and feedback into the lifecycle, maintain products that remain relevant, and systematically retire those that no longer serve their purpose. Finally, you’ll discover how a modern, cloud-native toolkit can help automate and scale these practices, creating repeatable systems that make data products sustainable across the enterprise.

Why Should You Think about Data as Product?

It’s time to start thinking about your Data as a Product.

The data being created in your organization is only growing, along with the tools that both manage and create more data. It’s an alphabet soup of data sources – CRMs, ERPs, POSs, HRMSs, LMSs, R&D, FP&A – and inside each acronym lies a treasure trove of information on your operations, your customers, your sales and marketing, and your human resources.

By thinking about your Data as a Product, organizations make the shift from considering data as a tool or a byproduct to treating it as a valuable strategic asset.

This Guide outlines the essential steps of adopting a Data as a Product, including tools that can help you create a scalable framework for using your data as strategic asset.

Download Your Guide

Table of Contents

What is Data as a Product?

Why Support Data as a Product?

How to Define a Data Product

How to Assemble and Distribute a Data Product

How to Maintain and Retire a Data Product

More Resources

Snowflake Highline

GrowthLoop

Guide:
Agile Data Governance