Data is the quintessential fuel powering modern day businesses. Any adulteration in this fuel can have an adverse impact. Hence, meeting the standard requisites for data quality is vital for businesses to realize the true potential of the available information. Innover's Data Quality (DQ) Framework empowers organizations to spot data challenges before they become a menace and progressively improve data quality within 6-8 weeks. The framework is equipped with a AI & ML-powered data validation layer, enabling businesses to quickly identify more than 80% of erroneous, inconsistent, or redundant data sources and processes. Utilizing pre-defined KPIs and metrics, the framework generates a scorecard that enables organizations to measure and benchmark their data quality against industry standards and peers. The outcome allows a comprehensive understanding of the organization's current data health and the appropriate steps required to establish a trusted, confident data foundation.