Book: Tworzenie skutecznych modeli Data Mining na przykładzie prognozowania migracji klientów

Building a customer retention model is a multi-stage process, full of challenges and dependent on many interrelated factors. This book guides the reader through the key stages of the process – from defining the business parameters of the model to reviewing modeling strategies and techniques, including:

• data preparation,
• developing effective classification models,
• validating and implementing retention models.

Particular attention is given to assessing the predictive power of a model, including the sensitivity of evaluation metrics to changes in class proportions. The book also includes a practical case study that illustrates, step by step, the key activities and decisions involved in developing a model. It can serve as a source of inspiration, helping readers understand and follow each stage of the modeling process, from initial decisions through to final implementation.

The research findings presented in the book can help in selecting the most effective modeling strategies, increasing the likelihood of achieving the desired results.

With over 20 years of consulting experience, the author shares practical knowledge and presents examples that help readers develop effective analytical models. For many years, as part of StatSoft Polska, he has delivered courses and lectures at prestigious postgraduate programs, introducing participants to the world of data analysis, data mining, and machine learning. His extensive experience includes supporting clients from the scientific, business, and industrial sectors, where he combines theory with real-world analytical challenges.