As healthcare delivery continues to evolve, healthcare organizations are often moving too quickly from EHR implementation to population health to risk-based contracts, glossing over (or skipping ...

It is easy to think of data quality analysis in terms of absolutes – a date of birth is, after all, either right or wrong. But in many other cases, data quality is not clear-cut and it can vary, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As the global datasphere continues to grow, companies of all sizes — from ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

What are the differences between gathering and analyzing quantitative and qualitative information? Better yet, how can you develop these skills and use this knowledge in a real-world job? Quantitative ...

AQ-IQ Mentor Xavier McIntyre explains how to import pod data (from a .txt file) into Excel. How to Import Pod Data into Excel AQ-IQ Mentor Cindy Yang explains how to create a graph without baseline ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

This week I have a special five-part podcast series, sponsored by Verint on the Future of Communication in Financial Compliance on the Innovation in Compliance podcast series on the Compliance Podcast ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...