The discussion of data storytelling competency will help practitioners improve their decision-making capabilities and business performance by developing their data storytelling skills. The reference framework for data story software engineering will be a useful guide for practitioners looking to develop data story products. Discovering the Future of Data Storytelling: Key Technologies and Innovations is a comprehensive guide to the emerging field of data storytelling and its applications in business analytics. Through an empirical analysis, the book highlights the positive impact of data storytelling competency on decision-making quality and business performance. It introduces the concept and features of data storytelling, providing an overview of the automatic generation process of data stories by utilizing data science principles and software engineering methods. The book also examines the differences between data stories and literary stories and proposes a reference framework for data story software engineering, along with the development characteristics of related technologies. This book is aimed at business professionals and analysts, data scientists, and researchers in the field of data storytelling. It would be a valuable resource for anyone looking to understand the importance of data storytelling in decision-making and business performance, as well as for students and practitioners looking to develop their data storytelling skills and knowledge.