Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Utilizing market research to inform decision-making begins with clearly identifying the objective: What specific goal am I looking to achieve? The scope and nature of the decision to be made will ...

Abstract: Human Behavior Analysis (HBA) has emerged as a critical interdisciplinary field, combining psychology, sociology, artificial intelligence, and data science to model, understand, and predict ...

ABSTRACT: A minimal amount of scholarly and professional literature exists on the challenges of new public school principals without leadership training, resulting in high turnover and reduced ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

Data analysis is the cornerstone of modern decision-making. It involves the systematic process of collecting, cleaning, transforming, and interpreting data to extract meaningful insights. By ...

The advent of the big data era has made data visualization a crucial tool for enhancing the efficiency and insights of data analysis. This theoretical research delves into the current applications and ...