This master's thesis is based on the research of key aspects of modern managerial decision- making, analytics, and data science, as well as their interactions. The fundamental purpose of this work is to identify specific strategies and approaches through which organizations can enhance their abilities to make informed and effective decisions by applying analytical methods. The objective of this thesis is to delve deeply into how organizations can leverage the benefits of analytical data analysis and data science to optimize their decision-making. Through a comprehensive analysis of the analytics value chain, emphasis is placed on the significance of master data management and the application of data science. This thesis also explores how an organization's level of analytical maturity affects its profitability and its ability to make fast and high-quality decisions. Through concrete recommendations, this thesis provides practical guidance to organizations wishing to improve their analytical processes and decision-making processes. The recommendations encompass the establishment of analytical teams, investments in appropriate IT infrastructure and technology, the optimization of analytical and data processes, and the application of data science for a deeper understanding of data.