دانلود کتاب خرده فروشی مبتنی بر داده – راهنمای کارشناسان غیر فنی

The inspiration of this book comes from practice. The past 7 years I have had the good fortune to collaborate on many data-related projects for retailers throughout Europe. The past decade has been a challenging one for many retailers, with increasing competitive pressure, pandemics, and stressed supply chains. These are choppy seas to navigate, but opportunity abounds. And I believe many retailers are up for the challenge. This book contains practical guidance for retail professionals who want to improve data-driven decision-making. The goal of this book is to be usable by practitioners, rather than being a purely academic pursuit of all the technical details. The amount of mathematics, statistics, data science, and software engineering is therefore kept to a minimum. The goal is to provide the reader with sufficient information to decide if a certain application is relevant in the current context or not. At the same time, this book aims to do more than scratch the surface. The goal is not to provide the reader with a list of newly hyped technologies and tools. The chapters revolve around key retail processes and decisions, andwhat can be achieved within those contexts. Concepts that are important are fleshed out in greater detail. This should provide the reader with sufficient knowledge to start a project, as well as to ask the right questions during a project. In short, this book aims to answer the practical question: “What should I be doing with my data, and what can I expect in return?” A pragmatic premise that I hope will resound with what I know to be a very pragmatic crowd of decision makers. Throughout the book I have used real – albeit obfuscated – datasets. In doing so, I hope to illustrate that the applications covered in this text have real-world significance. Moreover, while I believe that there is value in didactic examples, it is valuable to give an idea what kind of real-world performance can be expected from specific applications. Real data is often messy, but this should never be an excuse to forego data-driven decision-making altogether. The book itself consists of three parts: pricing, inventory management, and marketing. These are the three core domains where I believe the biggest opportunities lie for retailers. The parts can be read in any order, and most chapters can be read separately. Hence, this book does not need to be read cover to cover—though you are of course free to do so.