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 ...

Competitor analysis is often the first place new businesses turn for market and keyword research. However, many new businesses struggle to gain much value from competitor analysis because they often ...

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 ...

In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret. This ...

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. Big data has valuable ...

Data science is a relatively new term for a relatively old discipline. Essentially, it is data analysis, particularly for large data sets. It involves techniques as wide-ranging as statistics, ...

Imagine opening Excel and no longer needing to wrestle with complex formulas or spend hours manually analyzing data. What if you could simply type a question, like “What are the top-performing ...

OpenAI a week ago unveiled a new feature for ChatGPT called "memory," which stores things you explicitly ask the program to have access to, for later use. Alongside memory, it's good to remember that ...