Quantitative data interpretation includes studying the results from various questions in a survey. The results are usually displayed numerically and by percentage in the data tables. For example ...

Data provides value in distinct ways across a wide range of industries. Examples from cybersecurity, retail and healthcare illustrate the diversity of approaches.

The core value of conversational BI lies in lowering the threshold for data analysis and promoting "data democratization." Traditional BI requires users to master SQL, OLAP, and possess data thinking ...

LCGC International spoke to Dave Abramowitz, unified product management and product ownership team for chromatography and ...

Interpretation is central to the social scientist's process of analysis, regardless of whether that analysis relies on quantitative or qualitative data. This essay presents a "reconstructed logic" of ...

Big data has valuable implications for analyzing datasets and in day-to-day clinical practice, explained Ken Cohen, MD, director of translational research for Optum Care.

Fourth, from one of two longitudinal studies the author has conducted, evidence is given to clarify how systematic qualitative data interpretation may use ideal-type methodology and yield insightful ...

Taking responsibility for hosting an attest client’s data or records impairs a CPA’s independence, according to a new ethics interpretation.