In an era of disparate data silos spanning various business verticals, achieving robust data quality is paramount. This talk shows how making a cloud-based data warehouse the central point in a data quality program can overcome challenges. By leveraging a well-documented data model with solved data lineage, analysts gain a holistic view of the data landscape. Root cause analysis, initiated at the cloud source saves valuable time by eliminating the need to track down source systems or diagnose downstream data issues separately. Furthermore, proactive data checks and reporting mechanisms empower data stewards, custodians, and trustees to maintain high-quality data. 

Speaker: Mark Horseman

Data Evangelist, DATAVERSITY 

Mark is a Data Management Professional and CDMP - Practitioner with over 20 years of experience and acts as the Data Evangelist for DATAVERSITY. Mark moved into Data Quality, Master Data Management, and Data Governance early in his career and has been working extensively in data management since the early 2000’s. Previous to his work at DATAVERSITY, Mark led Information Management initiatives in both private and public sector organizations.