Optimizing Back Office Operations

According to industry experts, a typical one billion dollar company spends approximately $27 million on unnecessary working capital and inefficient processing functions because they lack visibility into the financial supply chain. Optimizing Back Office Operations: Best Practices to Maximize Profitability uses examples and case studies to show how cost optimization—and not cost reduction—in the core back office operations is the right approach to maximizing profitability and enterprise value. Implementation guidance is provided for Executives, CFOs, and Controllers on transitioning from outdated processes to a fully-optimized financial supply chain.

The recent surge of interest in “digital transformation” is changing the business landscape and posing several challenges, both organizational and sectoral. This transformation involves the application of digital technology in all aspects of business, and enables organizations to create new products and services, and to find more efficient ways of doing business. Moreover, the digital transformation is happening within and across organizations of all types and in every industry, producing a disruptive innovation that can break down the barriers between people and organizations, and help create more adaptive processes. In the information age, it is imperative for organizations to develop IT-related capabilities that allow them to leverage the potential of digital technologies. Due to the pervasive effects of this transformation on processes, firms and industries, both scholars and practitioners are interested in better understanding the key mechanisms behind the emergence and evolution of the digital business transformation. This book presents a collection of research papers focusing on the relationships between technologies (e.g., digital platforms, AI, blockchain, etc.), processes (e.g., decision-making, co-creation, financial, compliance, etc.), and organizations (e.g., smart organizations, digital ecosystems, Industry 4.0, collaborative networked organizations, etc.), which have been categorized into three major areas: organizing, managing and controlling. It also provides critical insights into how the digital transformation is enhancing organizational processes and firms’ performance through an exploration and exploitation of internal resources, and through the establishment of external connections and linkages. The plurality of views offered makes this book particularly relevant for users, companies, scientists, and governments. The content of the book is based on a selection of the best papers (original double-blind peer-reviewed contributions) presented at the annual conference of the Italian chapter of the AIS, which was held in Naples, Italy in September 2019.

Companies are often their own worst enemies. We work in disconnected functional and geographic silos, making it impossible to achieve end-to-end effectiveness. We struggle to make optimal decisions due to our overwhelming lack of quality information. In Optimize Now (or else!), David Fisher identifies the source of many of these problems and attacks them at their core. He explores the critical importance of processes and information that represent both the root of our problems and our greatest opportunity for dramatic improvement. He introduces new leadership in the Chief Process and Information Officer and the Process and Information Department, and specifies how to position these roles for enterprise-wide success. He further introduces the Enterprise Optimization Framework, an innovative, metric-driven decision-making framework, to ensure decisions are no longer based on "gut feel" but rather on quantitative expected outcomes. Finally, he explores the do's and don'ts of outsourcing and information technology with specific guidance on how these resources can be utilized to advance end-to-end optimization. It's time to put an end to our own misery. It's time to follow the path toward Enterprise Optimization, and avoid the downward spiral to Enterprise Extinction. Survival is at stake. We must Optimize Now (or else!).

Understand how to leverage Hyperautomation and Generative AI to accelerate Business Transformation KEY FEATURES ● Explores a wide range of use cases and examples that demonstrate the diverse applications of Hyperautomation across industries, sectors, and specific departments. ● Familiarizes you with popular tools and platforms like UiPath, Automation Anywhere, and IBM. ● Discovers how existing organizations utilizing AI and RPA technologies can leverage Hyper automation to rapidly expand automation initiatives across various business verticals. ● Rise of Generative AI and its Tectonic Shift in industries and technologies. DESCRIPTION Hyperautomation and Generative AI, when combined, can create powerful new capabilities for businesses. If you are a business leader looking to improve your productivity, efficiency, and customer satisfaction by adopting hyperautomation and generative AI technologies, then this book is for you. This book provides an introduction to hyperautomation, highlighting its key components and providing guidance on how organizations can implement it to streamline everyday business operations. The book covers a comprehensive range of use cases and examples that demonstrate the diverse applications of hyperautomation across industries, sectors, and specific departments within companies. It also familiarizes you with popular tools and platforms like UiPath, Automation Anywhere, and IBM, enabling them to make informed decisions when selecting the appropriate technology for their digital transformation endeavors. Lastly, the book illustrates how existing organizations that are already utilizing AI and RPA technologies can leverage hyperautomation to rapidly expand their automation initiatives throughout various business verticals. By the end of the book, you will have a deep understanding of the potential of hyperautomation and generative AI to transform businesses. WHAT YOU WILL LEARN ● Understand the importance of developing the necessary talent, skillset, and IT infrastructure for successful Hyperautomation implementation. ● Explore different strategies for scaling automation initiatives across different business verticals. ● Understand how to solve diverse business problems using Hyperautomation through a high-level plan. ● Understanding the essential technologies like AI, machine learning, and deep learning and their contributions to Hyperautomation. ● Understand the benefits of using Hyperautomation with Generative AI. WHO THIS BOOK IS FOR This book is for professionals who are interested in automation and Generative AI. It covers the development and execution of diverse business processes, and is relevant to a wide range of roles, including digital transformation consultants, CxOs, technical architects, AI engineers, enterprise architects, RPA engineers, and automation engineers. TABLE OF CONTENTS Section I: Automation and Its Necessity 1. The Realism of Hyperautomation 2. Existence of Different Automations 3. Fundamentals of RPA Tools and Platforms 4. Amalgam of Hyperautomation and RPA Section II : Evolution of Automation to Hyperautomation via RPA 5. Devising Hyperautomation Solutions 6. Amalgam of Hyperautomation and Artificial Intelligence 7. Bridging AI with Humans 8. Impact of Machine Learning with Hyperautomation 9. Operationalizing Hyperautomation 10. Successful Use Cases of Hyperautomation Section III: Emergence of Generative AI and Its Collaboration with Hyperautomation 11. Generative AI and Hyperautomation

Structured to follow the software life cycle, Patterns for Performance and Operability provides advice and examples-based instructions at every phase. You can read it from start to finish or go directly to those chapters that interest you the most. Whatever approach you choose, you will learn: How to: · Define and document comprehensive non-functional requirements for any software system · Define scope and logistics for non-functional test activities · Execute non-functional tests and report results clearly and effectively · Patterns for defensive software designs in common software scenarios that promote operability and availability · Implement the right level of reporting, monitoring, and trending for highly available production software systems Patterns for: · Software designs that support simpler and more efficient operation in a production environment · Software design that support high-performance and scalability Strategies and Techniques for: · Techniques for managing and troubleshooting during a production crisis · Strategies for resisting project pressure to compromise on quality or completeness of non-functional activities in the software cycle

This book constitutes revised and selected papers from the First International Conference on Society 5.0, Society 5.0 2021, held virtually in June 2021. The 12 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from the 54 qualified submissions. The papers discuss topics on application of the fourth industrial revolution innovations (e.g. Internet of Things, Big Data, Artificial intelligence, and the sharing economy) in healthcare, mobility, infrastructure, politics, government, economy and industry.

"This book discusses the considerations and implications surrounding the outsourcing and offshoring of professional services, such as software development computer-aided design, and healthcare, from multiple global perspectives. This book, offers industry professionals, policymakers, students, and educators with a balance between a broad overview and detailed analysis of offshore outsourcing, would make an invaluable addition to any reference library"--Provided by publisher.

The company's sustainable competitive advantage derives from its capacity to create value for customers and to adapt the operational practices to changing situations. Business processes are the heart of each company. Therefore process excellence has become a key issue. This book introduces a novel approach focusing on the autonomous optimization of business processes by applying sophisticated machine learning techniques such as Relational Reinforcement Learning and Particle Swarm Optimization.