Quantitative Data Analysis for Quality Control in Strategic Management

Abstract

Data-driven decision-making and accompanying data analytic skills are increasingly important. Data analytics involves several steps: identifying the study's objective, determining the relevant data to collect, choosing the appropriate instruments to collect those data, analyzing that data, recommending appropriate actions, implementing them, and evaluating the implementation. Appropriately applying and analyzing statistics can be daunting, even for managing leaders. This chapter provides guidance in preparing data, matching the data with the appropriate statistical test, and making sense of the statistics. Library-based case studies illustrate how data analytics enables leaders to control and improve library processes.