The top four data quality capabilities for a modern data architecture

Managing data quality is a critical imperative for CDOs. Poor data quality can lead to customer distrust, regulatory issues, poor decision-making, lost revenue, and failed projects. However, a robust data architecture can enhance data quality, and provide a framework for effective data management across various applications, including business intelligence and data science.

Attend the IBM webinar on March 7 to discover how to tackle poor data quality and unlock the potential of generative AI with the right data architecture.

Jeff Wai, Product Manager, IBM Data Quality,  and Mike Grasselt, Information Platform and Solutions Developer, from IBM will highlight four critical data quality capabilities necessary for a modern data architecture in today's evolving data landscape. Save your spot today

Register using link below:
 https://ibm.webcasts.com/starthere.jsp?ei=1657606&tp_key=5a99f1b1b2&sti=presentJ