- What is a data product? - Cloud Adoption Framework
Learn about the data mesh approach, which adopts the concept of data as a product Learn how to create effective data products and use them in your design
- What Is a Data Product? Concepts and Best Practices
Discover what a data product is, its components, and best practices Learn how data products turn raw data into actionable insights for business success
- What is Data Product: Definition Examples - GeeksforGeeks
Data products transform raw information into actionable insights for businesses in today's data-driven world Any tool, system or application that uses data to deliver value, automate decisions, or enhance user experiences is known as a data product
- What is a data product? - IBM
What is a data product? A data product is a reusable, self-contained package that combines data, metadata, semantics and templates to support diverse business use cases It can include components such as datasets, dashboards, reports, machine learning (ML) models, pre-built queries or data pipelines
- Data product - Wikipedia
In data management and product management, a data product is a reusable, active, and standardized data asset designed to deliver measurable value to its users, whether internal or external, by applying the rigorous principles of product thinking and management
- Data as a product vs data products. What are the differences?
In 2018, Simon O’Regan published an article called Designing Data Products that lists very clear examples of data products and groups them by type: raw data, derived data, algorithms, decision support and automated decision-making
- About data products
A data product is a reusable package that provides data to answer a business question or solve a specific business problem It includes everything you need to understand, access, and use the data
- What Are Data Products? Types and Examples | Coalesce
Learn what data products are, how to build them, and why they’re key to data mesh, AI, and DaaS Explore examples and best practices
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