This tutorial walks through delivering a single data product that powers a business KPI from ingestion to consumption.

Step 1: Define the KPI and Ownership

• Document the KPI definition, calculation logic, and intended users.
• Assign a data product owner and steward.

Step 2: Map Sources and Data Contracts

• Identify source systems and data owners.
• Define a data contract with schema, freshness, and quality thresholds.

Step 3: Build the Pipeline

• Ingest raw data and apply standard transformations.
• Add automated data quality tests in the pipeline.
• Publish curated tables or APIs for consumption.

Step 4: Validate and Monitor

• Validate KPI outputs with business stakeholders.
• Set SLAs for refresh time and quality checks.
• Monitor usage, failures, and downstream impact.

Step 5: Document and Scale

• Add metadata, lineage, and definitions in the catalog.
• Package the pattern for reuse across other domains.

CTA

Ready to move from strategy to measurable impact?

• Request a readiness assessment
• Schedule a strategy call

Sources

• DAMA-DMBOK Overview
• AWS Well-Architected Framework