Saumitra N. Bhaduri - Böcker

This book provides an in-depth analysis of bank credit allocation to non-financial companies in the Indian corporate sector over a long period of twenty-eight years. The authors also conduct a micro-level analysis in the backdrop of recent banking scams in the country which exposed the fragility and quality of the banks' governance in reducing misappropriation of bank credit. The book brings a broader perspective to assess whether weak banks are rolling over their loans to less-deserving firms and tending to avoid declaring them as non-performing assets (NPAs). It contributes to understanding the nature of the maladies beyond the conventional approach of studying the trends in NPAs and provides a deeper insight into the structural challenges that determine the allocation of bank credit in the economy and of capital formation at large.

The present book provides an enterprise-wide guide for anyone interested in pursuing analytic methods in order to compete effectively. It supplements more general texts on statistics and data mining by providing an introduction from leading practitioners in business analytics and real case studies of firms using advanced analytics to gain a competitive advantage in the marketplace. In the era of “big data” and competing analytics, this book provides practitioners applying business analytics with an overview of the quantitative strategies and techniques used to embed analysis results and advanced algorithms into business processes and create automated insight-driven decisions within the firm. Numerous studies have shown that firms that invest in analytics are more likely to win in the marketplace. Moreover, the Internet of Everything (IoT) for manufacturing and social-local-mobile (SOLOMO) for services have made the use of advanced business analytics even more important for firms. Thesecase studies were all developed by real business analysts, who were assigned the task of solving a business problem using advanced analytics in a way that competitors were not. Readers learn how to develop business algorithms on a practical level, how to embed these within the company and how to take these all the way to implementation and validation.

The book explores the theoretical and empirical issues relating to the interaction between corporate governance and corporate social responsibility (CSR) activities undertaken by Indian companies. It presents a highly detailed view on the evolution of CSR and its nexus with corporate governance. This is particularly timely in the context of the recent Indian Companies Act 2013, which mandates corporate social responsibility and revises the best corporate-governance practices for large companies. The findings of this study are unique in drawing from a unified framework of Indian corporate governance structure and corporate engagement in CSR. The book’s scope is both academic and practical; the research methodology developed and utilized is useful for researchers, while the implications and the selection of variables provide useful information for practitioners and stakeholders. Finally, although it focuses on large Indian companies, the findings canalso be applied to research on other emerging economies.

The present book provides an enterprise-wide guide for anyone interested in pursuing analytic methods in order to compete effectively. It supplements more general texts on statistics and data mining by providing an introduction from leading practitioners in business analytics and real case studies of firms using advanced analytics to gain a competitive advantage in the marketplace. In the era of “big data” and competing analytics, this book provides practitioners applying business analytics with an overview of the quantitative strategies and techniques used to embed analysis results and advanced algorithms into business processes and create automated insight-driven decisions within the firm. Numerous studies have shown that firms that invest in analytics are more likely to win in the marketplace. Moreover, the Internet of Everything (IoT) for manufacturing and social-local-mobile (SOLOMO) for services have made the use of advanced business analytics even more important for firms. Thesecase studies were all developed by real business analysts, who were assigned the task of solving a business problem using advanced analytics in a way that competitors were not. Readers learn how to develop business algorithms on a practical level, how to embed these within the company and how to take these all the way to implementation and validation.