The Dangers of Dirty Data: Causes & Solutions with Navneet Makhni

Poor quality data costs the government, businesses, and society every single day. Yet, it’s never a point of discussion in the grand scheme of data management plans. Companies spend millions on data infrastructure but little on data quality improvement - and that's where we want to bring in change.

It's time to focus on data quality as a critical factor in a data strategy plan! An IMB report revealed dirty data costs the U.S. economy $3 trillion annually in lost productivity and revenue. It is one of the most challenging problems in the data management space.

For this podcast, we invited Navneet Makhni, a Strategy Principal Director with over 14+ years of experience, juggling roles of a CDO, an enterprise data architect & a global MDM leader, to guide us on the best practices of managing dirty data. Navneet will share her experiences and data governance guidelines to reduce the impact of dirty data on business objectives.

In an action-driven conversation about dirty data and the immediate steps your company can take to improve its data quality.

Join us as we break down the causes of dirty data and discover viable solutions that can be implemented without costing a fortune.