Big information – which is any information that does not in shape neatly into a standard databases due to its unstructured structure, the superior velocity at which it will come in, or the sheer quantity of it – touches every thing from enterprises and hospitals to smart-meter startups and linked devices in the property. Every conversation with a technological know-how gadget, internet site, social network contributes tothe rapid-developing environment of…
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Author : Michel Charifzadeh
Genre : Business & Economics
Summary : Management accounting has been the basic toolbox in business administration for decades. Today it is an integral part of all curricula in business education and no student can afford not to be familiar with its basic concepts and instruments. At the same time, business in general, and management accounting in particular, is becoming more and more international. English clearly has evolved as the "lingua franca" of international business. Academics, students as well as practitioners exchange their views and ideas, discuss concepts and communicate with each other in English. This is certainly also true for management accounting and control. Management Accounting is becoming more and more international. ?Management Accounting and Control? is a new textbook in English covering concepts and instruments of management accounting at an introductory level (primarily at the Bachelor level, but also suited for general management and MBA courses due to a strong focus on practical relevance). This textbook covers all topics that are relevant in management accounting in business organizations that are typically covered in German and Central European Bachelor courses on management accounting and control. After a general introduction to the field of management accounting and control the book discusses cost management as an extension of cost accounting. Typical cost management instruments such as target costing, life cycle costing and process-based costing approaches are explained in detail. Differences between Anglo-American activity-based costing (ABC) and German process-based costing are highlighted. The book then turns to an extensive discussion of planning and budgeting tasks in management accounting with a strong focus on the practical application of the topic such as developing a budget in practice. Another chapter is dedicated to a comparison of traditional budgeting with modern /alternative budgeting approaches. A major part of the book is dedicated to the broad area of performance management. The relevance of financial statement information for performance management purposes is discussed in detail. In addition, the most widely spread financial performance indicators are illustrated using real-world examples. The book also includes detailed content on value-based management control concepts. In a consecutive chapter, performance measurement is linked with strategy while extensively discussing the Balanced Scorecard as a key tool in strategic performance management. The remaining parts of the book deal with management reporting as one of the main operative tasks in management accounting practice. The book closes with insight into new fields and developments that currently influence management accounting practices and research and promise to play an increasingly important role in the future.
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Author : José María Cavanillas
Genre : Computers
Summary : In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
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Author : Erik Beulen
Genre : Business & Economics
Summary : Understanding the significance of data analytics is paramount for digital transformation but in many organizations they are separate units without fully aligned goals. As organizations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role in their success. This book explores the crossroads between them and how to leverage their connection for improved business outcomes. The need to collaborate and share data is becoming an integral part of digital transformation. This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake. This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts. Critical issues are discussed such as data quality and data governance, as well as compliance, privacy, and ethics. It also offers insights into how both private and public organizations can innovate and keep up with growing data volumes and increasing technological developments in the short, mid, and long term. This book will be of direct appeal to global researchers and students across a range of business disciplines, including technology and innovation management, organizational studies, and strategic management. It is also relevant for policy makers, regulators, and executives of private and public organizations looking to implement successful transformation policies.
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Author : Singh, Sonia
Genre : Business & Economics
Summary : In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.
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Author : Mckinsey Chief Marketing & Sales Officer Forum
Genre : Computers
Summary : Big Data is the biggest game-changing opportunity for marketing and sales since the Internet went mainstream almost 20 years ago. The data big bang has unleashed torrents of terabytes about everything from customer behaviors to weather patterns to demographic consumer shifts in emerging markets. This collection of articles, videos, interviews, and slideshares highlights the most important lessons for companies looking to turn data into above-market growth: Using analytics to identify valuable business opportunities from the data to drive decisions and improve marketing return on investment (MROI) Turning those insights into well-designed products and offers that delight customers Delivering those products and offers effectively to the marketplace.The goldmine of data represents a pivot-point moment for marketing and sales leaders. Companies that inject big data and analytics into their operations show productivity rates and profitability that are 5 percent to 6 percent higher than those of their peers. That's an advantage no company can afford to ignore.
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Author : Hasan Dincer
Genre : Business & Economics
Summary : This book presents various perspectives on innovative work behaviour, focusing on problem recognition, idea generation, idea promotion and the realisation of these ideas. It first highlights important corporate issues, such as uncertainty, performance management, technological infrastructure, and strategy development, and subsequently presents studies that offer solutions. Further, the book evaluates the significance of research and development, effective communication and corporate governance. Lastly, it discusses the implications of idea realisation, examining resource dependence theory, organizational trust and eco-innovations.
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Author : Min Chen
Genre : Computers
Summary : This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.