Book

Description

This book emphasizes the transformative impact of real-time data, digital twins, and advanced analytics on accounting, ESG performance, and sustainability management. It explores how continuous accounting processes, sustainability costing models, and AI-driven materiality assessment enhance the accuracy, relevance, and timeliness of reporting. Readers are introduced to methods that integrate ethical, social, and environmental considerations into financial decision-making. Chapters focus on the practical application of analytics tools, enabling organizations to achieve stakeholder-centric reporting and responsible management. Topics include the use of AI for predictive ESG forecasting, digital twin simulations for sustainability scenarios, and continuous monitoring of performance metrics. Ethical implications, bias mitigation, and transparency considerations are embedded throughout, ensuring that technology supports responsible and equitable outcomes. The book equips financial controllers, accounting researchers, ESG specialists, and managers with frameworks to leverage advanced technologies in achieving operational excellence. Connecting data analytics with sustainability objectives demonstrates how real-time insights drive strategic decision-making, enhance accountability, and foster organizational resilience in a rapidly evolving digital and regulatory landscape.