A little over a decade has passed since The Economist warned us that we would soon be drowning in data. The modern data stack has emerged as a proposed life-jacket for this data flood — spearheaded by ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

On a recent executive outreach call, a leader from a large enterprise shared how their 120,000 users were actively involved in improving data quality across the organization. Intrigued, I reviewed ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

The Asian American health narrative is situated within the complex interplay of racialized history, immigration patterns, and policies regarding Asians in the United States—a dynamic that has ...

In today's data-driven healthcare landscape, medical imaging stands at the forefront of diagnosis and treatment planning. From X-rays and MRIs to CT scans and ultrasounds, these images provide crucial ...

Linying Dong is affiliated with Ryerson University, and volunteers at the Board of Directors of Carefirst. Karim Keshavjee is the CEO and majority shareholder of InfoClin Inc, an organization that ...

Electronic Health Records (EHRs) have transformed the landscape of clinical research by providing vast, longitudinal datasets that reflect real-world clinical practice. Their integration into research ...