In today's data-driven world, organizations face increasing pressure to make informed decisions that drive operational efficiency, optimize performance, and gain a competitive edge. Operational analytics has emerged as a powerful approach to extract actionable insights from operational data, enabling organizations to uncover patterns, identify trends, and make data-driven decisions that impact their day-to-day operations.
This book serves as a comprehensive guide to operational analytics, providing readers with a solid foundation in the principles, techniques, and applications of this rapidly evolving field. Whether you are a business manager, analyst, data scientist, or IT professional, this book will equip you with the knowledge and skills necessary to leverage operational data for improved decision-making and operational excellence.
In the initial chapters, we will lay the groundwork by exploring the fundamentals of analytics. We will delve into the process of data collection, cleansing, and preprocessing, highlighting the importance of data quality in operational analytics. Additionally, we will discuss exploratory data analysis techniques that help uncover hidden patterns and relationships within the data.