Part 9/12:
- Enhancing online presence and compliance.
By mapping these priorities to a well-defined data strategy—identifying key data elements like sales, inventory, images, and metadata—the organization could develop predictive models (e.g., out-of-stock forecasts). Critical to success was establishing data governance standards—accuracy thresholds, coverage criteria—and creating a common data model facilitating rapid scaling and deployment.
The end-to-end process demonstrated how the data product marketplace empowers business users and data teams alike, enabling rapid access to relevant, high-quality data for analysis, visualization, and decision-making.