Data products are always a work in progress, requiring a dynamic lifecycle. Become proficient in the five essential stages from initial exploration to ongoing evolution.
Contrary to conventional 'fire-and-forget' data projects, a genuine Data Product adheres to a strict, iterative process overseen by a specialized Product Manager.
Recognize the issue faced by the business and interact with potential data users to grasp their challenges, objectives, and the unique benefits the data product will provide.
Design the solution before coding. Specify the data contracts, output ports, schemas, and required Service Level Agreements (SLAs) to establish trust.
During the engineering phase, create strong data pipelines, carry out transformations, ensure adherence to security policies, and incorporate automated data quality testing.
Deploy the product to production, add it to the enterprise data catalog for visibility, and open the output ports for consumer access.
Continuously monitor usage and collect customer feedback. Update product based on business requirements, or retire it gracefully if it becomes obsolete.
In the traditional data warehousing model, pipelines were constructed and then neglected until they malfunctioned. This approach of 'set it and forget it' results in significant technical debt and data stagnation.
Viewing data as a product requires acknowledging that business logic is subject to change. Iteration The mechanism ensuring the alignment of the data product with the business includes semantic versioning (v1.0 to v1.1), maintaining backward compatibility, and actively phasing out outdated data assets.
Success is determined by meeting the requirements, successfully building the product, delivering it on time and within budget, and ultimately deciding whether to proceed or abandon the project.
Discover $\rightarrow$ Design $\rightarrow$ Build $\rightarrow$ Launch $\rightarrow$ Iterate. Success is measured by "Consumer adoption and ROI."
Give your data teams the support of dedicated Data Product Managers to steer your assets through each stage of the process.