Then & Now: Strategic Considerations for Data Quality

In today’s digital age, data is considered the lifeblood of organizations and decision-making. However, not all data is created equal, and poor data quality can lead to bad decisions and wasted resources. Many organizations are implementing data architectures based on cloud data stores. 

We will discuss how modern data quality solutions provide scalability to keep up with processing needs and run natively where the data resides while using data observability to proactively identify outliers and anomalies. Precisely, the global leader in data integrity will share the value of using modern data quality solutions combined with a business-first data governance approach to ensure you can trust the data used in your important business decisions.