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Business Data Preparation

  • Dominik Jung

摘要

This chapter covers the different activities and challenges in business data preparation, beginning with an overview that sets the stage for understanding the significance of data in business analytics. It progresses with detailed discussions on data cleaning techniques and the importance of feature engineering, which are crucial for enhancing the quality and relevance of data for analysis. The chapter further explores the complexities of integrating data sources and illustrates best-practices to build coherent dataset. Finally, the chapter contains of a business case exercise focused on investigating quality production problems, providing a hands-on opportunity to apply the concepts and techniques discussed.