BARC Webinar: Data Quality – Garbage In, Chaos Out
Poor data quality can derail data & analytics (D&A) initiatives and AI projects, leading to unreliable insights and flawed decision-making. This webinar explores practical strategies for addressing fragmented data sources, inconsistent governance, and the organizational challenges that compromise data quality.
Why attend:
- Understand how data quality directly impacts AI model accuracy and business analytics outcomes
- Learn proven approaches to data governance, automated cleansing, and integrating siloed data sources
- Discover how leading organizations manage incomplete data, growing volumes, and cultural obstacles
Join this BARC webinar to hear how One Data treats data quality as a non-negotiable foundation for successful initiatives – from governance frameworks to practical implementation strategies.
