Data Quality Strategy & Conceptual Framework

SDLC Phase: Early Validation & Testing

Executive Summary

In modern, data-driven software architectures, data quality is as critical as code quality. Traditional application testing validates functional logic but often ignores the schema, integrity, and distribution of the underlying data flows. This strategy outlines the conceptual pillars of Data Quality (DQ) testing and provides a roadmap for shifting DQ checks early into validation pipelines, preventing bad data from polluting downstream systems.