The Data Product Canvas is a tool used to organize and describe data products, ensuring that all critical aspects are considered throughout the process from conception to implementation. It provides a structured way to document the various components and characteristics of a data product. Here’s an overview of the typical contents of a Data Product Canvas .
Below is a table that outlines the typical contents of a Data Product Canvas.
| No. | Component | Description |
|---|---|---|
| 1 | Name | The name of the data product |
| 2 | Description | A detailed description of the data product, including its purpose and functionality |
| 3 | Data Product Owner | The person or team responsible for the data product |
| 4 | Business Capability/Domain | The business domain or capability area to which the data product belongs |
| 5 | System | The systems or platforms associated with the data product |
| 6 | Classification | The categorization of the data product, such as source-aligned, consumer-aligned, etc. |
| 7 | Lifecycle Classification | The lifecycle stage of the data product, such as experimental or stable |
| 8 | Input Interface | The interface through which the data product receives data |
| 9 | Output Ports | The ports through which the data product provides data |
| 10 | Security | The security rules and policies governing the data product |
| 11 | Inbound Flow | The transactions or data flows entering the data product |
| 12 | Outbound Flow | The transactions or data flows exiting the data product |
| 13 | Volume | The amount of data processed or stored by the data product |
| 14 | Datasets | One or more datasets that constitute the data product |
| 15 | Business Metadata | Metadata describing the business context and use cases of the data product |
| 16 | Technical Metadata | Metadata describing the technical details of the data product |
| 17 | Operational Metadata | Metadata describing the operational aspects of the data product |
| 18 | Physical Architecture | Description of the physical storage and data structure of the data product |
| 19 | Semantic Metadata | Metadata linking the physical model of the data product to standardized vocabularies |
| 20 | Local Lineage | Information about the direct data sources of the data product |
| 21 | Complete Lineage | The entire sequence of links showing how data is created within the data product |
| 22 | Quality Metrics | Metrics related to data quality, such as the number of correct and incorrect data |
| 23 | Operational Metrics | Metrics related to the availability of the data product, number of users, etc. |
This table provides a structured overview of the components and characteristics that should be included in a Data Product Canvas, ensuring that all key aspects of a data product are documented and considered during its development and management.