This chapter discusses the nature of quantitative data which is structured.  Different scales and different views of data are considered and examples are provided.
 
Introduction
Constructs, Concepts, and Operationalizing the Variable
Random Variables, Expected Values, and Frequency Distributions
Validity and Reliability
Numbers and Scales
Scales and Kinds of Statistical Analyses
Time series, Cross-section, and Pooled Data
Summary
Section III: Descriptive Analytics
Introduction
Ad Hoc Queries and Drilling: Begin to Learn What Is Happening
Metrics and Key Performance Indicators and Management
Dashboards and KPIs
Balanced Scorecards and KPIs
Summary