ABSTRACT
This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book outlines the vision of Analytics 3.0, including the key aspects of real time, the tracking of trillions of data points, artificial intelligence, and machine learning. It addresses this important topic in relation to Data analytics (DA) in project management (PM). The book examines the main sources of bias in data flows. It discusses the issues associated with data sourcing and its consistency. The book explains the concepts of exploratory, confirmatory, and predictive risks in DA. It explains what attributes differentiate big data from other types of data. The book distinguishes between three general types or categories of data: structured, unstructured, and semistructured. It explores the need for functionality in terms of early warning signs and associated metrics.
