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financial service cloud data model: Cloud Computing in Financial Services B. Nicoletti, 2013-02-27 Financial institutions must become more innovative in the conduct of their business. Cloud computing helps to achieve several objectives: innovative services, re-engineered processes, business agility and value optimization. Research, consultancy practice and case studies in this book consider the opportunities and risks with vendor relationships. |
financial service cloud data model: Financial Services and General Government Appropriations for Fiscal Year 2015 United States. Congress. Senate. Committee on Appropriations. Subcommittee on Financial Services and General Government, 2015 |
financial service cloud data model: Financial Services and General Government Appropriations for 2012 United States. Congress. House. Committee on Appropriations. Subcommittee on Financial Services and General Government, 2011 |
financial service cloud data model: ICPDI 2023 Md Rabiul Islam, Rongjuan Chen, Jing Ma, 2023-11-21 The 2nd International Conference on Public Management, Digital Economy and Internet Technology (ICPDI 2023) was successfully held on 1-3 September 2023 in Chongqing, China. This conference aimed to bring together researchers, scholars, and practitioners from various fields to exchange ideas and discuss advancements in the areas of public management, digital economy, and internet technology. The conference featured a diverse range of research topics, including but not limited to Public Management, Digital Economy and Internet Technology. The conference fostered a rich and stimulating intellectual environment. The program included keynote speeches by renowned experts in the field, parallel sessions for paper presentations, and panel discussions addressing emerging trends and challenges. The conference proceedings showcased a wide array of research papers, providing valuable insights into the latest theoretical and practical developments in the field of public management, digital economy, and internet technology. Participants had the opportunity to engage in constructive discussions, offer feedback, and establish potential collaborations for future research endeavors. We extend our gratitude to all participants, presenters, organizers, and sponsors for their contributions in making this conference a resounding success. We look forward to the 3rd edition of this conference, where we can further explore the dynamic intersections of public management, digital economy, and internet technology. |
financial service cloud data model: Systems Analysis and Design Alan Dennis, Barbara Wixom, Roberta M. Roth, 2021-11-23 Systems Analysis and Design, 8th Edition offers students a hands-on introduction to the core concepts of systems analysis and systems design. Following a project-based approach written to mimic real-world workflow, the text includes a multitude of cases and examples, in-depth explanations, and special features that highlight crucial concepts and emphasize the application of fundamental theory to real projects. |
financial service cloud data model: Economics of Grids, Clouds, Systems, and Services Jörn Altmann, Omer F. Rana, 2010-08-30 This book constitutes the refereed proceedings of the 7th International Workshop on Economics of Grids, Clouds, Systems, and Services, GECON 2010, held in Ischia, Italy, in August 2010. The papers are organized in topical sections on service evaluation and trust; service pricing and software licenses; work in progress on adoption of grid and cloud services; and work in progress on value chains and service level agreements. |
financial service cloud data model: Cloud Computing for Enterprise Architectures Zaigham Mahmood, Richard Hill, 2011-12-01 This important text provides a single point of reference for state-of-the-art cloud computing design and implementation techniques. The book examines cloud computing from the perspective of enterprise architecture, asking the question; how do we realize new business potential with our existing enterprises? Topics and features: with a Foreword by Thomas Erl; contains contributions from an international selection of preeminent experts; presents the state-of-the-art in enterprise architecture approaches with respect to cloud computing models, frameworks, technologies, and applications; discusses potential research directions, and technologies to facilitate the realization of emerging business models through enterprise architecture approaches; provides relevant theoretical frameworks, and the latest empirical research findings. |
financial service cloud data model: Cloud Computing Security John R. Vacca, 2020-11-05 This handbook offers a comprehensive overview of cloud computing security technology and implementation while exploring practical solutions to a wide range of cloud computing security issues. As more organizations use cloud computing and cloud providers for data operations, the need for proper security in these and other potentially vulnerable areas has become a global priority for organizations of all sizes. Research efforts from academia and industry as conducted and reported by experts in all aspects of security related to cloud computing are gathered within one reference guide. Features • Covers patching and configuration vulnerabilities of a cloud server • Evaluates methods for data encryption and long-term storage in a cloud server • Demonstrates how to verify identity using a certificate chain and how to detect inappropriate changes to data or system configurations John R. Vacca is an information technology consultant and internationally known author of more than 600 articles in the areas of advanced storage, computer security, and aerospace technology. John was also a configuration management specialist, computer specialist, and the computer security official (CSO) for NASA’s space station program (Freedom) and the International Space Station Program from 1988 until his 1995 retirement from NASA. |
financial service cloud data model: CLOUD COMPUTING NARAYAN CHANGDER, 2024-03-07 THE CLOUD COMPUTING MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE CLOUD COMPUTING MCQ TO EXPAND YOUR CLOUD COMPUTING KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY. |
financial service cloud data model: Data as a Service Pushpak Sarkar, 2015-07-31 Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach to introducing data as a service in any organization A reusable and flexible SOA based architecture framework Roadmap to introduce ‘big data as a service’ for potential clients Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions |
financial service cloud data model: Implementing Effective IT Governance and IT Management Gad Selig, 2015-02-01 This book is a revised edition of the best selling title Implementing IT Governance (ISBN 978 90 8753 119 5).For trainers free additional material of this book is available. This can be found under the Training Material tab. Log in with your trainer account to access the material. In all enterprises around the world, the issues, opportunities and challenges of aligning IT more closely with the organization and effectively governing an organization s IT investments, resources, major initiatives and superior uninterrupted service is becoming a major concern of the Board and executive management. An integrated and comprehensive approach to the alignment, planning, execution and governance of IT and its resources has become critical to more effectively align, integrate, invest, measure, deploy, service and sustain the strategic and tactical direction and value proposition of IT in support of organizations. Much has been written and documented about the individual components of IT Governance such as strategic planning, demand management, program and project management, IT service management, strategic sourcing and outsourcing, performance management, metrics, compliance and others. Much less has been written about a comprehensive and integrated approach for IT/Business Alignment, Planning, Execution and Governance. This title fills that need in the marketplace and offers readers structured and practical solutions using the best of the best practices available today. The book is divided into two parts, which cover the three critical pillars necessary to develop, execute and sustain a robust and effective IT governance environment:- Leadership, people, organization and strategy,- IT governance, its major component processes and enabling technologies. Each of the chapters also covers one or more of the following action oriented topics:- the why and what of IT: strategic planning, portfolio investment management, decision authority, etc.;- the how of IT: Program/Project Management, IT Service Management (including ITIL); Strategic Sourcing and outsourcing; performance, risk and contingency management (including COBIT, the Balanced Scorecard etc.) and leadership, team management and professional competences. |
financial service cloud data model: Cloud Computing Concepts and Applications Dhirendra Kumar Sharma, : Cloud computing allows users to access shared computing resources over the internet on-demand, with three main service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtualized resources, PaaS provides a platform for application development, and SaaS offers third-party software applications. While offering benefits like scalability, flexibility, cost savings, and increased productivity, challenges like security and data privacy remain. This book gives overview of cloud computing concepts in all aspects. |
financial service cloud data model: New Venture Creation Marc H. Meyer, Frederick G. Crane, 2013-01-04 Structured around the idea that innovation is at the core of successful entrepreneurship, this insightful guide by Meyer and Crane establishes innovation as a necessary first step before writing a business plan or developing a financial model. With a focus on pragmatic methods for gaining industry and customer insight and translating this insight into innovative product and service solutions, Meyer and Crane help students design robust business models, financial projections, business plans, and investor presentations. New Venture Creation is devoted to helping students develop compelling business ideas. This is based not only on the authors’ well-known research in product and service innovation, but also on their extensive experience as successful entrepreneurs and investors. In the updated Second Edition, part I guides students through six elements that comprise a clearly defined and focused venture: defining your target industry; defining your target customers; defining the needs and wants of those customers; defining winning product and service solutions; carefully designing a strong business model; determining competitive positioning, and then testing the entire concept against a small population of target customers—all before writing the plan. Think, design, test, and learn are the guiding principles. Part II then focuses on different types of investors and the process for raising capital, creating realistic financial projections, writing a concise but powerful business plan, organizing the venture team, and creating a compelling pitch that speaks to the needs and concerns of investors. The book also includes a number of independent case studies that focus on product, service, and business model innovation—all from recent ventures by students as well as recent college or master’s level graduates. |
financial service cloud data model: Emerging Technologies in Data Mining and Information Security Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta, 2018-12-12 This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security. |
financial service cloud data model: Modelling Foundations and Applications Jordi Cabot, Julia Rubin, 2014-07-10 This book constitutes the proceedings of the 10th European Conference on Modelling Foundations and Applications, ECMFA 2014, held as part of STAF 2014, in York, UK, in July 2014. The 14 foundation track papers and the 3 applications track papers presented in this volume were carefully reviewed and selected from 58 submissions. They are on all aspects of MDE, including topics such as model provenance; model transformations and code generation; model synthesis; model-driven testing; formal modeling approaches; business modeling; and usability of models. |
financial service cloud data model: China’s Provincial Economic Competitiveness and Policy Outlook for the 13th Five-year Plan Period (2016-2020) Jianping Li, Minrong Li, Yanjing Gao, Jianjian Li, Hongwen Su, Maoxing Huang, 2019-01-25 This book focuses on the competitive situation and policy outlook of China’s provincial economy in the 13th five-year period. It begins with a general evaluation report on the country’s provincial comprehensive Economic Competitiveness, followed by analyses at the international, national and regional levels, industrial and enterprise levels. On the basis of domestic and international research findings, it further enriches our understanding of provincial competitiveness, analyzes the domestic and international situation, explores new changes, new norms, new situations and new challenges concerning China’s provincial economy in the past few years, reveals the characteristics and relative differences of different types, defines their internal competitive strengths and weaknesses, and provides valuable theoretical content to guide decision-making. |
financial service cloud data model: Big Data in Computational Social Science and Humanities Shu-Heng Chen, 2018-11-21 This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as data, the very use of this data, and what we now call knowledge. Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities. |
financial service cloud data model: Economics and Security Implications of Cloud Computing Sudipta Sahana, 2019-08-26 To readers who could be merely surfing the pages to catch a quick glimpse as to what cloud computing is all about,to the more serious and corporate users,the book is expected to provide at least a humble modicum of nourishment to set them off on a journey that would no doubt help them achieve success to the cloud and beyond.The book focus on the technical aspects of cloud insofar as speeding up the process of grasping the concerned facts and the underlying economic benefits of cloud computing. |
financial service cloud data model: Information Security Practice and Experience Feng Bao, Jian Weng, 2011-05-06 This book constitutes the refereed proceedings of the 7th International Conference on Information Security Practice and Experience, ISPEC 2011, held in Guangzhou, China, in May/June 2011. The 26 papers presented together with 6 short papers were carefully reviewed and selected from 108 submissions. They are grouped in sections on public key encryption, cloud security, security applications, post-quantum cryptography and side-channel attack, block ciphers and MACs, signature, secrete sharing and traitor tracing, system security and network security, and security protocols. |
financial service cloud data model: Security, Privacy and Trust in Cloud Systems Surya Nepal, Mukaddim Pathan, 2013-09-03 The book compiles technologies for enhancing and provisioning security, privacy and trust in cloud systems based on Quality of Service requirements. It is a timely contribution to a field that is gaining considerable research interest, momentum, and provides a comprehensive coverage of technologies related to cloud security, privacy and trust. In particular, the book includes - Cloud security fundamentals and related technologies to-date, with a comprehensive coverage of evolution, current landscape, and future roadmap. - A smooth organization with introductory, advanced and specialist content, i.e. from basics of security, privacy and trust in cloud systems, to advanced cartographic techniques, case studies covering both social and technological aspects, and advanced platforms. - Case studies written by professionals and/or industrial researchers. - Inclusion of a section on Cloud security and eGovernance tutorial that can be used for knowledge transfer and teaching purpose. - Identification of open research issues to help practitioners and researchers. The book is a timely topic for readers, including practicing engineers and academics, in the domains related to the engineering, science, and art of building networks and networked applications. Specifically, upon reading this book, audiences will perceive the following benefits: 1. Learn the state-of-the-art in research and development on cloud security, privacy and trust. 2. Obtain a future roadmap by learning open research issues. 3. Gather the background knowledge to tackle key problems, whose solutions will enhance the evolution of next-generation secure cloud systems. |
financial service cloud data model: The Green and Virtual Data Center Greg Schulz, 2016-04-19 The Green and Virtual Data Center sets aside the political aspects of what is or is not considered green to instead focus on the opportunities for organizations that want to sustain environmentally-friendly economical growth. If you are willing to believe that IT infrastructure resources deployed in a highly virtualized manner can be combined with other technologies to achieve simplified and cost-effective delivery of services in a green, profitable manner, this book is for you. Savvy industry veteran Greg Schulz provides real-world insight, addressing best practices, server, software, storage, networking, and facilities issues concerning any current or next-generation virtual data center that relies on underlying physical infrastructures. Coverage includes: Energy and data footprint reduction, Cloud-based storage and computing, Intelligent and adaptive power management, Server, storage, and networking virtualization, Tiered servers and storage, network, and data centers, Energy avoidance and energy efficiency. Many current and emerging technologies can enable a green and efficient virtual data center to support and sustain business growth with a reasonable return on investment. This book presents virtually all critical IT technologies and techniques to discuss the interdependencies that need to be supported to enable a dynamic, energy-efficient, economical, and environmentally-friendly green IT data center. This is a path that every organization must ultimately follow. Take a tour of the Green and Virtual Data Center website. CRC Press is pleased to announce that The Green and Virtual Data Center has been added to Intel Corporation's Recommended Reading List. Intel's Recommended Reading program provides technical professionals a simple and handy reference list of what to read to stay abreast of new technologies. Dozens of industry technologists, corporate fellows, and engineers have helped by suggesting books and reviewing the list. This is the most comprehensive reading list available for professional computer developers. |
financial service cloud data model: Digitalisation of Global Business Services Albert Plugge, |
financial service cloud data model: Artificial Financial Intelligence in China Dawei Zhao, Wenting Zhang, 2021-10-27 This book starts from the application scenarios of artificial financial intelligence regulation, commercial banking, wealth management and payments, etc., and makes a detailed study of the main scenarios of the application of China's artificial intelligence in the financial field, and also analysis specific application cases of China.With the popularization of smart phones and the rapid development of e-commerce, mobile payment, big data and other technologies are in the ascendant in China in recent years. In particular, artificial intelligence technologies in the form of facial, speech and semantic recognition are showing preliminary advantages in the field of FinTech, and the future era of Intelligent Finance has quietly come. The Chinese government has clearly put forward China should rely on a robust cycle of domestic demand and innovation as the main driver of the economy while maintaining foreign markets and investors as a second engine of growth, science and technology innovation is the basic motivation of economic and social cycle, to implement the dual circulation strategy , it is necessary to understand the key role of scientific and technological innovation in financial innovation services, and improve financial services must be driven by science and technology. There is a natural relationship between artificial intelligence and financial services, because financial services are credit and information intermediaries, and data is the most critical for finance, while artificial intelligence has a super ability in dealing with complex data. At present, many Chinese Banks have applied artificial intelligence to their daily operations and management, such as accurate customer identification, enhanced process tracking, intelligent marketing, and product process transformation, so as to simplify financial service processes and shorten service cycles. In General, this book both pays attention to practical application and theoretical, which is a useful reference book in theoretical research and practical work, and also helps readers to understand the application of intelligent finance in China. |
financial service cloud data model: The Cloud Computing Journey Divit Gupta, 2024-01-05 Elevate your expertise and gain holistic insights into cloud technology with a focus on smoothly transitioning from on-premises to the cloud Key Features Analyze cloud architecture in depth, including different layers, components, and design principles Explore various types of cloud services from AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, and more Implement best practices and understand the use of various cloud deployment tools Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies. This comprehensive cloud computing guide offers the expertise and best practices for evaluating different cloud vendors and tools. The first part will help you gain a thorough understanding of cloud computing basics before delving deeper into cloud architecture, its design, and implementation. Armed with this expert insight, you'll be able to avoid costly mistakes, ensure that your cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business. By the end of this book, you’ll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.What you will learn Get to grips with the core concepts of cloud architecture and cost optimization Understand the different cloud deployment and service models Explore various cloud-related tools and technologies Discover cloud migration strategies and best practices Find out who the major cloud vendors are and what they offer Analyze the impact and future of cloud technology Who this book is for The book is for anyone interested in understanding cloud technology, including business leaders and IT professionals seeking insights into the benefits, challenges, and best practices of cloud computing. Those who are just starting to explore cloud technology, as well as those who are already using cloud technology and want to deepen their understanding to optimize usage, will find this resource especially useful. |
financial service cloud data model: Cloud Computing Basics S. Srinivasan, 2014-05-14 Cloud Computing Basics covers the main aspects of this fast moving technology so that both practitioners and students will be able to understand cloud computing. The author highlights the key aspects of this technology that a potential user might want to investigate before deciding to adopt this service. This book explains how cloud services can be used to augment existing services such as storage, backup and recovery. Addressing the details on how cloud security works and what the users must be prepared for when they move their data to the cloud. Also this book discusses how businesses could prepare for compliance with the laws as well as industry standards such as the Payment Card Industry. |
financial service cloud data model: Artificial Intelligence for Cloud and Edge Computing Sanjay Misra, Amit Kumar Tyagi, Vincenzo Piuri, Lalit Garg, 2022-01-13 This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals. |
financial service cloud data model: Business Intelligence and the Cloud Michael S. Gendron, 2014-05-12 How to measure cloud computing options and benefits to impact business intelligence infrastructure This book is a guide for managers and others involved in using cloud computing to create business value. It starts with a discussion of the media hype around cloud computing and attempt to pull together what industry experts are saying in order to create a unified definition. Once this foundation is created—assisting the reader's understanding of what cloud computing is—the discussion moves to getting business benefits from cloud computing. Lastly, the discussion focuses on examples of cloud computing, public clouds, private clouds, and virtualization. The book emphasizes how these technologies can be used to create business value and how they can be integrated into an organizations business intelligence system. It helps the user make a business case for cloud computing applications—applications that are used to gather/create data, which in turn are used to generate business intelligence. |
financial service cloud data model: Principles, Methodologies, and Service-Oriented Approaches for Cloud Computing Yang, Xiaoyu, 2013-01-31 Innovations in cloud and service-oriented architectures continue to attract attention by offering interesting opportunities for research in scientific communities. Although advancements such as computational power, storage, networking, and infrastructure have aided in making major progress in the implementation and realization of cloud-based systems, there are still significant concerns that need to be taken into account. Principles, Methodologies, and Service-Oriented Approaches for Cloud Computing aims to present insight into Cloud principles, examine associated methods and technologies, and investigate the use of service-oriented computing technologies. In addressing supporting infrastructure of the Cloud, including associated challenges and pressing issues, this reference source aims to present researchers, engineers, and IT professionals with various approaches in Cloud computing. |
financial service cloud data model: Accounting Information Systems Leslie Turner, Andrea B. Weickgenannt, Mary Kay Copeland, 2020-01-02 Accounting Information Systems provides a comprehensive knowledgebase of the systems that generate, evaluate, summarize, and report accounting information. Balancing technical concepts and student comprehension, this textbook introduces only the most-necessary technology in a clear and accessible style. The text focuses on business processes and accounting and IT controls, and includes discussion of relevant aspects of ethics and corporate governance. Relatable real-world examples and abundant end-of-chapter resources reinforce Accounting Information Systems (AIS) concepts and their use in day-to-day operation. Now in its fourth edition, this popular textbook explains IT controls using the AICPA Trust Services Principles framework—a comprehensive yet easy-to-understand framework of IT controls—and allows for incorporating hands-on learning to complement theoretical concepts. A full set of pedagogical features enables students to easily comprehend the material, understand data flow diagrams and document flowcharts, discuss case studies and examples, and successfully answer end-of-chapter questions. The book’s focus on ease of use, and its straightforward presentation of business processes and related controls, make it an ideal primary text for business or accounting students in AIS courses. |
financial service cloud data model: Handbook of Chinese Management Check-Teck Foo, 2023-09-05 This handbook explores the theme of managing inside China and consists of chapters that communicate the major managerial concepts within the context of Mainland China. Its key emphasis is to clearly highlight the differences in the art of managing in China vs. the West, while acknowledging that these differences may be narrowing as a result of globalization. Chapters in the book elaborate on how management is affected as China experiences rapid change while some aspects of Chinese culture remain unchanged and steeped in tradition. The book goes further in exploring this complexity by juxtaposing China’s orientation towards interpersonal relations, or guanxi, with the government’s emphasis on law, which is now becoming more rule-based than before. Business & Management academics and practitioners will gain useful insight into Chinese management practices and their contrast to established Western ones when they use the Handbook of Chinese Management as a reference. |
financial service cloud data model: Advances in Data Science and Management Samarjeet Borah, Valentina Emilia Balas, Zdzislaw Polkowski, 2020-01-13 This book includes high-quality papers presented at the International Conference on Data Science and Management (ICDSM 2019), organised by the Gandhi Institute for Education and Technology, Bhubaneswar, from 22 to 23 February 2019. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands. |
financial service cloud data model: Green Communications and Networks Chenguang Yang, Maode Ma, 2012-01-05 The objective of GCN 2011 is to facilitate an exchange of information on best practices for the latest research advances in the area of green communications and networks, which mainly includes the intelligent control, or efficient management, or optimal design of access network infrastructures, home networks, terminal equipment, and etc. Topics of interests include network design methodology, enabling technologies, network components and devices, applications, others and emerging new topics. |
financial service cloud data model: Essentials of Cloud Computing K. Chandrasekaran, 2014-12-05 Cloud computing-accessing computing resources over the Internet-is rapidly changing the landscape of information technology. Its primary benefits compared to on-premise computing models are reduced costs and increased agility and scalability. Hence, cloud computing is receiving considerable interest among several stakeholders-businesses, the IT ind |
financial service cloud data model: Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing Management Association, Information Resources, 2021-01-25 Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students. |
financial service cloud data model: Software Reuse in the Emerging Cloud Computing Era Yang, Hongji, 2012-04-30 This book clarifies the present fast-advancing literature of the current state of art and knowledge in the areas of the development and reuse of reusable assets in emerging software systems and applications--Provided by publisher. |
financial service cloud data model: Multi-Agent Systems Vladimir Shikhin, 2019-03-06 This book integrates the practices of enthusiastic investigators in the field of MAS-based approaches, elaboration, and implementation. The content of the book identifies the most complicated tasks and their possible solutions while implementing MAS instrumentation into engineering practice. The proposed focus on the control problems involves a wide range of adjacent problems described in the chapters of the book. Material presented in the book aim to provide the basic knowledge for further MAS-systems study and control design to reach the goals and needs coming from engineering practice under often contradictory existing requirements. |
financial service cloud data model: Inverting the Paradox of Excellence Vivek Kale, 2014-07-14 Drawing lessons from one of the best models of success, the evolutionary model, this book explains why an organization must actively monitor the market environment and competitors to ascertain excellence and reconfigure and reframe continuously. It introduces the patterns and anti-patterns of excellence and includes detailed case studies based on different variations, including structure variations, shared values variations, and staff variations. The book includes case history segments from Toyota, Acer, eBay, Cisco, Blackberry, Samsung, Volvo, Charles Schwab, McDonalds, Starbucks, Google, Disney, and NUMMI; as well as detailed case histories of GE, IBM, and UPS. |
financial service cloud data model: From Active Data Management to Event-Based Systems and More Kai Sachs, Ilia Petrov, Pablo Guerrero, 2010-11-18 Data management has evolved over the years from being strictly associated with database systems, through active databases, to become a topic that has grown beyond the scope of a single field encompassing a large range of subjects, such as distributed systems, event-driven systems, and peer-to-peer and streaming systems. The present collection of works, which sheds light on various facets of data management, is dedicated to Prof. Alejandro Buchmann on the occasion of his 60th birthday. His scientific path looks back on more than thirty years of successful academic life and high-impact research. With this book we celebrate Prof. Buchmann's vision and achievements. |
financial service cloud data model: Integration of Information Flow for Greening Supply Chain Management Adam Kolinski, Davor Dujak, Paulina Golinska-Dawson, 2019-08-21 This book provides a framework for integrating information management in supply chains. Current trends in business practice have made it necessary to explore the potential held by information integration with regard to environmental aspects. Information flow integration provides an opportunity to focus on the creation of a more “green” supply chain. However, it is currently difficult to identify the impact of information integration on greening a supply chain in a wide range of practical applications. Accordingly, this book focuses on the potential value of information integration solutions in terms of greening supply chain management. It covers the following major topics: Application of information flow standards in the supply chain Information systems and technological solutions for integrating information flows in supply chains The Internet of Things and the industry 4.0 concept, with regard to the integration of supply chains Modeling and simulation of logistics processes Decision-making tools enabling the greening of supply chains |
financial service cloud data model: Cloud Computing, revised and updated edition Nayan B. Ruparelia, 2023-08-01 An updated, revised, and comprehensive overview of the concepts related to cloud computing, including recent applications, innovations, and its future evolution. In this Essential Knowledge volume, Nayan B. Ruparelia provides an updated and revised version of Cloud Computing, first published in 2016, to address not only the fact that cloud computing has become a ubiquitous part of mainstream computing since then but also has made strides in other key aspects of the technology’s development, including: cloud computing’s history, updated security fundamentals that provide examples of Identity and Access Management (IAM) use that illustrate the difference between on-premise (i.e., conventional) security and cloud-based security implementation and Security Information and Event Management SIEM), an updated discussion of data migration to the cloud, a new chapter on data integrity, cloud native computing, the use of microservice design patterns, cloud automation using orchestrators and tools such as Kubernetes, a comparison of common public clouds (Microsoft Azure, Google Cloud Platform, and Amazon AWS), and a future outlook for cloud computing. An indispensable guide to cloud computing for the layperson, Cloud Computing cuts through the technical jargon and details that are irrelevant to nontechnologists, as well as the marketing hype, and explains clearly what cloud computing is, when to use it (and when not to), how to select a cloud service, how to integrate it with other technologies, and what the best practices are for its adoption. |
Financial Services Cloud User Guide - Salesforce
Financial Services Cloud is available in Lightning Experience. See more
A financial services leader’s guide to building a modern …
As financial services organizations move to the cloud, configuring data governance, quality, lineage, and security becomes a critical challenge.
IBM Cloud Framework for Financial Services
IBM Cloud Framework for Financial Services is designed to help address the needs of financial services institutions with regulatory compliance, security, and resiliency during the initial …
Goldman Sachs Financial Cloud for Data, powered by AWS
Many of the existing solutions for financial data management and analytics are based on a patchwork of legacy technologies that struggle to meet the latency and scale requirements of …
Industry Cloud for Financial Services sector - KPMG
Industry cloud for Financial Services comprises of the products, platforms and solutions that are purpose-built to fulfill requirements in banking, insurance, and capital markets industry …
Oracle Financial Services Data Foundation
Oracle Financial Services Data Foundation allows a financial institution to deploy a fully extensible system that meets tomorrow’s unforeseen new business intelligence demands without …
Salesforce Financial Services Cloud - a.sfdcstatic.com
Built on the Salesforce Customer Success Platform, Financial Services Cloud includes an enhanced set of features created specifically for client engagement, and designed with the …
AI, Data, and the Cloud - IIF
Financial service firms must be able to answer questions about data management and access, transparency and understandability, and security for each stage of development, deployment, …
Financial Services Cloud Data Model (book)
about It focuses on the data model as the foundation for achieving this understanding This book provides a framework for the enterprise data model the business reasons behind it and the …
Teradata Financial Services Data Model Support for Financial …
Teradata Professional Services consultants guide your data model development and help you plan and develop applications that will serve your needs long term.
Financial Services Cloud Operating Model Overview - Cisco
By bringing a cloud operating model to on-premises infrastructure for cloud and network operations, your entire IT stack can be more cloud-like while maintaining the critical cost and …
Oracle Financial Services Profitability Management Cloud …
By using a single, transparent data model and platform, you can share component building blocks across applications—improving data quality and reducing IT cost ... Experience the Oracle …
Oracle Financial Services Accounting Foundation Cloud
These services are delivered via Oracle Cloud and work off a common financial institution specific data model that facilitates non-redundant acquisition, hosting, and processing of data, which …
Financial Service Cloud Data Model - cie-advances.asme.org
Financial firms have two options to build their own data centers or to outsource them to hosting services such as Google and Amazon cloud services While outsourcing data centers is a trend …
Financial Services Cloud Installation Guide - Salesforce
To create the required profiles, clone and customize the Standard User profile provided by Salesforce. When you install the Financial Services Cloud packages, map these cloned …
AWS Ramp-Up Guide: Financial Services Industry (FSI)
AWS Ramp-Up Guide: Financial Services Industry (FSI) This guide helps financial services business and tech leaders, developers, and cloud architects explore and learn about the …
Heading to the Cloud: strategy for banks and financial …
Once cloud adoption becomes mainstream in the banking and financial services industry, we expect two broad approaches – workload-based approach and capability-based approach – to …
Salesforce Financial Services Cloud - a.sfdcstatic.com
SPEED TO VALUE: Our data model comes with out-of-the-box industry standard objects built directly on the Salesforce platform that model financial accounts, assets, liabilities, and …
USING DATA AND ANALYTICS TO ENHANCE CUSTOMER …
CDP delivers powerful self-service analytics across hybrid and multi-cloud environments, along with sophisticated and granular security and governance policies that IT and data leaders …
Research on Innovation of Financial Management Model …
Based on the research of cloud computing technology, this paper expounds the application of cloud computing in financial sharing, and explores the transformation of financial management …
Financial Services Cloud User Guide - Salesforce
May 16, 2025 · Financial Services Cloud is a reimagined front office. Get a clean, aggregated view of the most relevant, actionable client information without logging in to a dozen systems …
A financial services leader’s guide to building a modern …
As financial services organizations move to the cloud, configuring data governance, quality, lineage, and security becomes a critical challenge.
IBM Cloud Framework for Financial Services
IBM Cloud Framework for Financial Services is designed to help address the needs of financial services institutions with regulatory compliance, security, and resiliency during the initial …
Goldman Sachs Financial Cloud for Data, powered by AWS
Many of the existing solutions for financial data management and analytics are based on a patchwork of legacy technologies that struggle to meet the latency and scale requirements of …
Industry Cloud for Financial Services sector - KPMG
Industry cloud for Financial Services comprises of the products, platforms and solutions that are purpose-built to fulfill requirements in banking, insurance, and capital markets industry …
Oracle Financial Services Data Foundation
Oracle Financial Services Data Foundation allows a financial institution to deploy a fully extensible system that meets tomorrow’s unforeseen new business intelligence demands without sacrificing …
Salesforce Financial Services Cloud - a.sfdcstatic.com
Built on the Salesforce Customer Success Platform, Financial Services Cloud includes an enhanced set of features created specifically for client engagement, and designed with the needs of …
AI, Data, and the Cloud - IIF
Financial service firms must be able to answer questions about data management and access, transparency and understandability, and security for each stage of development, deployment, …
Financial Services Cloud Data Model (book)
about It focuses on the data model as the foundation for achieving this understanding This book provides a framework for the enterprise data model the business reasons behind it and the …
Teradata Financial Services Data Model Support for …
Teradata Professional Services consultants guide your data model development and help you plan and develop applications that will serve your needs long term.
Financial Services Cloud Operating Model Overview - Cisco
By bringing a cloud operating model to on-premises infrastructure for cloud and network operations, your entire IT stack can be more cloud-like while maintaining the critical cost and …
Oracle Financial Services Profitability Management Cloud …
By using a single, transparent data model and platform, you can share component building blocks across applications—improving data quality and reducing IT cost ... Experience the Oracle Cloud …
Oracle Financial Services Accounting Foundation Cloud
These services are delivered via Oracle Cloud and work off a common financial institution specific data model that facilitates non-redundant acquisition, hosting, and processing of data, which …
Financial Service Cloud Data Model - cie-advances.asme.org
Financial firms have two options to build their own data centers or to outsource them to hosting services such as Google and Amazon cloud services While outsourcing data centers is a trend for …
Financial Services Cloud Installation Guide - Salesforce
To create the required profiles, clone and customize the Standard User profile provided by Salesforce. When you install the Financial Services Cloud packages, map these cloned profiles to …
AWS Ramp-Up Guide: Financial Services Industry (FSI)
AWS Ramp-Up Guide: Financial Services Industry (FSI) This guide helps financial services business and tech leaders, developers, and cloud architects explore and learn about the resources …
Heading to the Cloud: strategy for banks and financial …
Once cloud adoption becomes mainstream in the banking and financial services industry, we expect two broad approaches – workload-based approach and capability-based approach – to emerge …
Salesforce Financial Services Cloud - a.sfdcstatic.com
SPEED TO VALUE: Our data model comes with out-of-the-box industry standard objects built directly on the Salesforce platform that model financial accounts, assets, liabilities, and financial …
USING DATA AND ANALYTICS TO ENHANCE CUSTOMER …
CDP delivers powerful self-service analytics across hybrid and multi-cloud environments, along with sophisticated and granular security and governance policies that IT and data leaders demand.
Research on Innovation of Financial Management Model …
Based on the research of cloud computing technology, this paper expounds the application of cloud computing in financial sharing, and explores the transformation of financial management models …