Sebanyak 58 item atau buku ditemukan

Configuration Management

Theory, Practice, and Application

Configuration Management: Theory, Practice, and Application details a comprehensive approach to configuration management from a variety of product development perspectives, including embedded and IT. It provides authoritative advice on how to extend products for a variety of markets due to configuration options.The book also describes the importanc

Configuration Management: Theory, Practice, and Application details a comprehensive approach to configuration management from a variety of product development perspectives, including embedded and IT. It provides authoritative advice on how ...

Total Quality Management (TQM)

Principles, Methods, and Applications

Organisations are now focused on total customer satisfaction. However there is a lack of understanding the requirements and the customer needs. Total Quality Management (TQM) integrates all phases and ensures a defect free quality product. This textbook provides the understanding of all aspects of TQM and the implementation. This textbook covers all aspects of TQM, discusses quality systems in detail, highlights the importance of the needs of the customer, and presents the concept of Total Productive Maintenance (TPM). Written as a textbook for students of engineering and management, but also explains all quality systems which will be helpful to all organisations in choosing the correct quality system and helpful to managers in decision making while analyzing any process. A solutions manual and power point presentations slides are available for qualified adoptions.

Organisations are now focused on total customer satisfaction. However there is a lack of understanding the requirements and the customer needs. Total Quality Management (TQM) integrates all phases and ensures a defect free quality product.

Big Data Strategies for Agile Business

Agile is a set of values, principles, techniques, and frameworks for the adaptable, incremental, and efficient delivery of work. Big Data is a rapidly growing field that encompasses crucial aspects of data such as its volume, velocity, variety, and veracity. This book outlines a strategic approach to Big Data that will render a business Agile. It discusses the important competencies required to streamline and focus on the analytics and presents a roadmap for implementing such analytics in business.

Although A-Bank is a hypothetical bank described here to demonstrate the application of BDFAB, a comparison with and a ... The staff are eager to capitalize on the advanced technologies of Big Data to obtain and build on corresponding ...

Blockchain, Big Data and Machine Learning

Trends and Applications

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book: Converges Blockchain, Big Data and Machine learning in one volume. Connects Blockchain technologies with the data centric applications such Big data and E-Health. Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries. Covers big data analytics examples using R. Includes lllustrative examples in python for blockchain creation.

Data security is important, as it is necessary to protect the privacy of both patients and doctors. ... There exists a gap in research and development of blockchain with big data technology in banking sector, and this gap is expected to ...

Big Data Analytics

Harnessing Data for New Business Models

This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet today’s information challenges and shows how businesses can adapt big data for effective businesses practices. This volume shows how big data and the use of data analytics is being effectively adopted more frequently, especially in companies that are looking for new methods to develop smarter capabilities and tackle challenges in dynamic processes. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.

This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business.

Big Data for Entrepreneurship and Sustainable Development

This book provides insight for researchers and decision-makers on the application of data in the entrepreneurship and sustainable development sector. This book covers how Big Data for Industry 4.0 and entrepreneurship are effective in resolving business, social, and economic problems. The book discusses how entrepreneurs use Big Data to cut costs and minimize the waste of time. It offers how using Big Data can increase efficiency, enables the studying of competitors, can improve the pricing of products, increase sales and loyalty, and can ensure the right people are hired. The book presents how decision-makers can make use of Big Data to resolve economic and social problems. Analyze the development of the economy and enhance the business climate. This book is for researchers, PhD students, and entrepreneurs and can also be of interest for transforming governments as well as businesses.

As a result, the finance, banking sector, and fintech sector within this scope have a rapid growth potential in terms of the future. 4.2.3 DIGITAL FINANCE The concept of digitalization has become a competence that changes, ...

Business Intelligence and Big Data

Drivers of Organizational Success

The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.

Banking. Sector. The financial sector is one of the most data-driven sectors. Data sets have grown immensely in terms of size, type, and complexity and are awkward to work with using traditional database management tools.

Big Data Applications in Industry 4.0

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems.

Total Quality Management (TQM)

Principles, Methods, and Applications

"This textbook provides the understanding of all aspects of TQM and the implementation. This textbook covers all aspects of TQM, discusses quality systems in detail, highlights the importance of the needs of the customer, and presents the concept of Total Productive Maintenance (TPM)"--

"This textbook provides the understanding of all aspects of TQM and the implementation.

High Definition and 24P Cinematography

This authoritative new reference demystifies the technologies of high definition and 24P cinematography. It is written for the director of photography, camera crew and producer or director and deals with the subject from their point of view. It provides a thorough and logical description of the five scanning formats 24P, 25P, 30P, 50i and 60i as well as recording formats, editing options, delivery potential and discussions on the financial implications theses decisions might have. It looks at comparative costs between different decisions surrounding camera formats, such as 16mm to 35mm shooting for different examples, such as a 100-minute low budget movie or 30 second commercial. There is also considerable discussion on the advantages and disadvantages of using HD versus film, seen from a producer's perspective and what the impact is on all those involved in making a movie. Different delivery systems and camera equipment are discussed as well as editing. Filled with practical advice for tackling everyday decisions and choices, this is a must-have guide for anyone using or considering using high definition technology.

Filled with practical advice for tackling everyday decisions and choices, this is a must-have guide for anyone using or considering using high definition technology.