Part 6/12:
A critical stage involves assessing current data quality—examining data sources, granularity, completeness, and accuracy. Once assessed, a governance framework ensures standards are maintained, quality indices are monitored, and data is curated to meet domain-specific needs. For example, in retail scenarios like sales visibility or forecasting, data elements such as inventory levels, product attributes, and imaging data are curated to support precise analytics.