Data Quality Analytics Framework

This webinar is intended for solution architects, data quality engineers, data quality analysts, technical users, and data stewards. The session will cover the Data Quality Analytics Framework, which offers an automated data quality lifecycle solution through IDMC services such as CDGC, CDI, and CAI. This framework empowers end users to specify data quality requirements on the CDGC platform and orchestrates the end-to-end implementation of those requirements. It delivers data quality results across both business and technical dimensions, and exception records are made accessible to enterprise business intelligence tools like Tableau, Power BI, and Qlik. By the end of the session, you will understand the components and capabilities of the Data Quality Analytics Framework built on the IDMC platform, leveraging CDGC, CDI, and CAI services. You will appreciate how the framework automates the entire data quality lifecycle from requirement specification to execution and how it reports data quality metrics across both business and technical dimensions.