Business Analysis Methodology Book

Introduction: This study guide is designed to provide an overview of the key elements, important historical context and current debates in the field of Quality Management. It aims to give a coherent view of the underlying principles of quality management, and how these relate to practical application in a range of organizations. The tools and techniques which support the principles are not covered in detail in this guide, More information on these can be found in the companion guide: “Six Sigma: Principles and Practices” also available at Bookboon.com. The guide starts with a development of the theory in each area and then provides a contex tualisation which considers what the theory might mean for organizational practice. Due to the complexity of many of the issues addressed, it is possible to write much more on any single topic, but I have tried to cover most of the key points in order to provide a foundation, and further literature linked from the text allows the reader to investigate any topic in more depth if they wish. Finally, at the end of each chapter there are a number of questions for you to develop your thinking in the area.

Artificial Intelligence, or AI, is changing business and society in ways that would have been unimaginable only a few years ago. Its full potential has yet to be realized—the way we gather information, make products, interact with businesses, and access products and services are all evolving. In emerging markets, AI offers an opportunity to reach the underserved by lowering costs and barriers to entry for entrepreneurs and businesses, creating innovative business models, and leapfrogging traditional technologies. Private sector solutions lie at the heart of ending poverty and boosting shared prosperity, and AI is and will remain an integral part of that process. But much more can be done. This report explores the role of AI in emerging markets and developing countries—both across and within key sectors—both today and in the future. It also examines the issue of gender bias, and how Big Data can advance, rather than impede, equality. If managed well, AI solutions will expand opportunities and contribute to the achievement of the Sustainable Development Goals.