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Author: Arthur Langer
Publisher: Springer Nature
ISBN: 3031264010
Category : Business & Economics
Languages : en
Pages : 291
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Book Description
Most existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engaged in the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.
Author: Arthur Langer
Publisher: Springer Nature
ISBN: 3031264010
Category : Business & Economics
Languages : en
Pages : 291
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Book Description
Most existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engaged in the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.
Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655827542
Category :
Languages : en
Pages : 308
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Book Description
What threat is Data Dominance addressing? How are policy decisions made and where? Have all basic functions of Data Dominance been defined? What do you need to start doing? How do you gather Data Dominance requirements? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data Dominance investments work better. This Data Dominance All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data Dominance Self-Assessment. Featuring 948 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Dominance improvements can be made. In using the questions you will be better able to: - diagnose Data Dominance projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data Dominance and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Dominance Scorecard, you will develop a clear picture of which Data Dominance areas need attention. Your purchase includes access details to the Data Dominance self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Dominance Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author: Ajibesin, Adeyemi Abel
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 413
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Book Description
In today's highly competitive and rapidly evolving global landscape, the quest for efficiency has become a crucial factor in determining the success of organizations across various industries. Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency is a comprehensive guide that delves into the powerful mathematical tool of DEA, is designed to assess the relative efficiency of decision-making units (DMUs), and provides valuable insights for performance improvement. This book presents a systematic overview of DEA models and techniques, from fundamental concepts to advanced methods, showcasing their practical applications through real-world examples and case studies. Catering to a broad audience, this book is designed for students, researchers, consultants, decision-makers, and enthusiasts in the field of efficiency analysis and performance measurement. Consultants and practitioners will gain practical insights for applying DEA in various contexts, and decision-makers will be equipped to make informed decisions for maximizing efficiency. Additionally, individuals with a general interest in data analysis and performance measurement will find this book accessible and informative. This book covers a wide range of topics, including mathematical foundations of DEA, DEA models and variations, DEA efficiency and productivity measures, DEA applications in various industries such as healthcare, finance, supply chain management, environmental management, education management, and public sector management.
Author: Bhabani Shankar Nayak
Publisher: Springer Nature
ISBN: 3031623088
Category :
Languages : en
Pages : 205
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Book Description
Author: Arthur M. Langer
Publisher: CRC Press
ISBN: 1000990966
Category : Technology & Engineering
Languages : en
Pages : 404
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Book Description
Because digital and information technology (IT) has become a more significant part of strategic advantage and workplace operations, information systems personnel have become key to the success of corporate enterprises, particularly with the pursuit of becoming more "digital." This book focuses on the vital role that technology must play in the course of organizational development and learning and on the growing need to integrate technology, particularly digital technology, fully into the culture of all organizations. Fundamentally this fourth edition takes an even stronger position than the previous editions that organizational learning is crucial to the success of what has been coined "digital transformation." Companies are struggling to understand what it means to "be digital." Their technology personnel go far beyond the traditional IT staff into areas such as artificial intelligence (AI), machine learning (ML), and natural language processing (NL). These three functions now fall under the auspices of "data science," which is now at the center of allowing companies to become more data dominant as is necessary for survival. While traditional IT personnel have long been criticized for their inability to function as part of the business, they are now vital to assist in the leadership of digital transformation. It could be a costly error to underestimate the technical skills needed by IT staff to ensure successful digital transformation. In fact, subsequent chapters will highlight the technical challenges needed to build new architectures based on 5G, blockchain, cloud computing, and eventually quantum processing. The challenge then is to integrate business and technical IT staff via cultural assimilation and to strategically integrate advanced computing architectures. This fourth edition includes new topics such as the future of work that addresses the challenges of assimilating multiple generations of employees and how to establish working cultures that are more resilient and adaptive and can be configured as a platform driven by data assets.
Author: Martin Andersson
Publisher: Oxford University Press
ISBN: 0198737408
Category : Business & Economics
Languages : en
Pages : 301
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Book Description
The book discusses different possibilities for, and obstacles to, economic development in lower income countries in Asia, Latin America, and Sub-Saharan Africa. It asks what lessons can be learned from previous success cases and assesses whether the growth of developing countries over the last decades can be sustained. It pays attention to actual processes of development over the long-term to shed light on prospects for global development today.
Author: Mohamed Ismail Sabry
Publisher: Emerald Group Publishing
ISBN: 1802622454
Category : Social Science
Languages : en
Pages : 281
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Book Description
Combining case studies with empirical and theoretical game analysis, Mohamed Ismail Sabry presents four State-Business-Labor Relations (SBLR) modes for considering the power relationships at play in the interactions between government, business, and society.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1616928530
Category : Computers
Languages : en
Pages : 2178
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Book Description
This three-volume collection, titled Enterprise Information Systems: Concepts, Methodologies, Tools and Applications, provides a complete assessment of the latest developments in enterprise information systems research, including development, design, and emerging methodologies. Experts in the field cover all aspects of enterprise resource planning (ERP), e-commerce, and organizational, social and technological implications of enterprise information systems.
Author: United States. Department of the Army
Publisher:
ISBN:
Category : Strategic planning
Languages : en
Pages : 44
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Book Description
Author: Bai-Chen Xie
Publisher: Frontiers Media SA
ISBN: 2832514316
Category : Technology & Engineering
Languages : en
Pages : 145
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Book Description
Renewable energy has been considered as an effective way to deal with challenges caused by energy security and climate change. In the past decades, the share of renewable energy in the energy mix has been increasing with a proportion of around 25% globally benefitting from the steady maturity of economical, technological and political issues. However, the gap between expectations of fast, renewables-driven energy transitions and the reality of today’s energy systems which rely heavily on fossil fuels remains stubbornly large. The development of renewable energy still faces uncertainties, among them are cost changes driven by the potential technology breakthroughs, renewable power market-oriented progress, and various challenges related to grid interconnection of such intermittent renewable energy resources, and some other factors. Many countries and regions have issued their plans in boosting the development of renewable power. However, not one renewable power exploitation plan is acceptable universally due to the varied developing level of economies and societies. It is of great significance to explore the economic, technological, and political influences of related factors in achieving the development target for renewable energy.
