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A Guide to Data Products

Understand, Plan, and Implement Data Products


How to Create, Govern, & Manage Data Products - Market Landscape Report

Data products are governed, reusable, and shareable assets produced by a product management team that identifies a target audience, identifies its requirements, and builds a product that contains guarantees of accuracy, reliability, and trustworthiness and is continuously improved over time.


Achieving Success with Data Products: An Interview with Henrik Strandberg

Most data leaders want to deliver data products, but few are doing it. In this episode, Wayne Eckerson interviews Henrik Strandberg, a strong proponent of running data teams using product management principles.

Let’s Be Clear: A Data Asset is Not a Data Product

Most definitions of a data product conflate it with a data asset. The primary thing that makes a data asset a data product is where it resides: in a...

Data Products Part II: Data Products Require Product Thinking

The hardest part about implementing data products is fostering a product mindset among the people responsible for defining, governing, building, and...

Why Do I Need a Data Marketplace When I Have a Data Catalog?

This article compares data catalogs and data marketplaces and argues that you need both and will soon have both as vendors add data marketplace...

The Data Product Revolution: A Market Study in Adoption Trends

There’s a revolution brewing in data. According to our survey, a majority of organizations are in the early stages of implementing data products,...


Data Product Management: Leveraging Data Products to Transition from Cost Center to Value Creator

In this eBook, Henrik Strandberg, a recognized leader of data teams, shares experiences, insights, and suggestions on how to apply best practices from transformation and digital product management to data management.


What Works Series: How Data Products, Data Fabric, and Generative AI Make Self-Service Possible

This session of the What Work series will explore the rise of data products, data fabric, and generative AI and how these new technologies and approaches are changing the nature of how business users consume data & analytics. 

12 Pitfalls to Avoid When Implementing Data Products

If your data team wants to implement data products, it would be wise to avoid these 12 pitfalls that can torpedo an initiative.

Data Mesh’s Missing Ingredient: A Data Marketplace

The data mesh framework doesn’t specify a key component that completes the last mile of the architecture: a data provisioning environment. 

Tech Opportunity Brief: Bridging Organizational Boundaries with Data Sharing Platforms

A data-sharing platform facilitates the sharing and consumption of data products, removing organizational boundaries and silos.

Building Data Products with Data Mesh & Data Fabric - Market Landscape Report

Learn everything you need to know about data products with our innovative multimedia digital publication.

Partner Content

Data Marketplace Guide: A Practical Guide to Launching an Internal Data Marketplace

This guide provides practical advice to create an internal data marketplace that will facilitate data access across your entire organization.

Best Practices For Developing And Scaling Data Products

Learn why data products matter in modern analytics and the practical strategies that you should consider for successful data product implementations.

7 Steps for Building a Valuable Data Product

Treating data assets as products helps businesses make better use of their data. This article provides guidance for finding product-market fit.

Four Traps to Avoid When Developing Data Products

Developing data products can be challenging. Learn about four traps that can disrupt data product development and how to avoid falling into them.

Deep Dive on Data Exchanges: Three Tools to Consider

Data exchanges provide a user-friendly experience within a secure platform to facilitate the sharing and monetization of data. They mirror other online...