The design of your study, the research questions you’ve posed, and types of data you’ve collected (e.g., quantitative, qualitative) are important considerations in determining the data analysis and ...

In today’s data-driven world, the ability to quickly and accurately analyze information effectively is a pivotal skill across a wide variety of different industries. If you have large amounts of data ...

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 ...

One drawback of working for so long in the data industry is that I often misjudge what people think about when they think about data. Particularly, I've observed a common misunderstanding about ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...