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| financial data service providers industry: Data Envelopment Analysis in the Financial Services Industry Joseph C. Paradi, H. David Sherman, Fai Keung Tam, 2017-11-21 This book presents the methodology and applications of Data Envelopment Analysis (DEA) in measuring productivity, efficiency and effectiveness in Financial Services firms such as banks, bank branches, stock markets, pension funds, mutual funds, insurance firms, credit unions, risk tolerance, and corporate failure prediction. Financial service DEA research includes banking; insurance businesses; hedge, pension and mutual funds; and credit unions. Significant business transactions among financial service organizations such as bank mergers and acquisitions and valuation of IPOs have also been the focus of DEA research. The book looks at the range of DEA uses for financial services by presenting prior studies, examining the current capabilities reflected in the most recent research, and projecting future new uses of DEA in finance related applications. |
| financial data service providers industry: The Global Findex Database 2017 Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, Saniya Ansar, 2018-04-19 In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex. |
| financial data service providers industry: Creating Value in Financial Services Edward L. Melnick, Praveen R. Nayyer, Michael L. Pinedo, Sridhar Seshadri, 2012-12-06 Creating Value in Financial Services is a compilation of state-of-the-art views of leading academics and practitioners on how financial service firms can succeed in today's competitive environment. The book is based on two conferences held at New York University: the first, `Creating Value in Financial Services', held in March 1997, and the second, `Operations and Productivity in Financial Services', in April 1998. The book is essentially designed to be a compendium of leading edge thinking and practice in the management of financial services firms. There is no book today that has this focus. It contains ideas that can apply to other service industries. Topics addressed are increasingly important worldwide as the financial services industries consolidate and search for innovative new directions and ways to create value in a fiercely competitive environment. |
| financial data service providers industry: Audit Analytics in the Financial Industry Jun Dai, Miklos A. Vasarhelyi, Ann Medinets, 2019-10-28 Split into six parts, contributors explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry. Chapters include topics such as fraud risks in the credit card sector, clustering techniques, fraud and anomaly detection, and using Audit Analytics to assess risk in the lawsuit and payment processes. |
| financial data service providers industry: Operations in Financial Services Michael Pinedo, Yuqian Xu, 2017-12-21 Operations in Financial Services establishes a framework for this research area from an operations management perspective. The first section presents an introduction and provides an overview of the topic. The second section establishes links between the current state of the art in relevant areas of operations management and operations research and three of the more important aspects of operations in financial services - (i) financial product design and testing, (ii) process delivery design, and (iii) process delivery management. The third section focuses on the current issues that are important in the financial services operations area. These issues center primarily on mobile online banking and trading in a global environment. The fourth section discusses operational risk aspects of financial services. The final section concludes with a discussion on research directions that may become of interest in the future. |
| financial data service providers industry: Artificial Intelligence in Banking Introbooks, 2020-04-07 In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, In a world focused on using AI in new ways, we're focused on using it wisely and responsibly. |
| financial data service providers industry: I Bytes Financial Services Industry ITShades.com, 2021-01-08 This document brings together a set of latest data points and publicly available information relevant for Financial Services Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely. |
| financial data service providers industry: Art Therapy and Childbearing Issues Nora Swan-Foster, 2020-09-22 This text introduces readers to the diverse and unique ways art therapy is used with women who are undergoing various stages of the childbearing process, including conception, pregnancy, miscarriage, childbirth, and postpartum. Art Therapy and Childbearing Issues discusses a range of topics including the role of transference/countertransference, attachment and maternal tasks, and neuropsychology. The book also addresses several motifs that are outside cultural norms of pregnancy and childbearing, such as racial sociopolitical issues, grief and loss, palliative care, midwifery, menstruation, sex-trafficking, disadvantaged populations, and incarceration. Each chapter offers research, modalities, case studies and suggestions on how to work in this field in a new way, accompanied by visual representations of different therapy methods and practices. The approachable style will appeal to a range of readers who will come away with a new awareness of art therapy and a greater knowledge of how to work with women as they enter and exit this universal, psychobiological experience. |
| financial data service providers industry: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight. |
| financial data service providers industry: A Primer in Financial Data Management Martijn Groot, 2017-05-10 A Primer in Financial Data Management describes concepts and methods, considering financial data management, not as a technological challenge, but as a key asset that underpins effective business management. This broad survey of data management in financial services discusses the data and process needs from the business user, client and regulatory perspectives. Its non-technical descriptions and insights can be used by readers with diverse interests across the financial services industry. The need has never been greater for skills, systems, and methodologies to manage information in financial markets. The volume of data, the diversity of sources, and the power of the tools to process it massively increased. Demands from business, customers, and regulators on transparency, safety, and above all, timely availability of high quality information for decision-making and reporting have grown in tandem, making this book a must read for those working in, or interested in, financial management. - Focuses on ways information management can fuel financial institutions' processes, including regulatory reporting, trade lifecycle management, and customer interaction - Covers recent regulatory and technological developments and their implications for optimal financial information management - Views data management from a supply chain perspective and discusses challenges and opportunities, including big data technologies and regulatory scrutiny |
| financial data service providers industry: BIAN 2nd Edition – A framework for the financial services industry BIAN eV, 2021-07-09 The Banking Industry Architecture Network (BIAN) is a global, not-for-profit association of banks, solution providers, consultancy companies, integrators and academic partners, with the shared aim of defining a semantic standard for the banking industry covering all banking activity and almost all of the well-known architectural layers. BIAN’s Reference Architecture for the Financial Industry provides its users with a set of building blocks that, when used in different combinations, can support all of the functionality and information a bank needs for both its internal functioning and its collaboration with partners in an Open Finance and Open API economy. BIAN’s Reference Architecture for the Financial Industry is freely available on the BIAN website. This website also provides a wealth of information on both the theory and practice of the standard. So why this book? Importantly, it summarizes all of the above information and guides the reader through it on a step-by-step basis. It provides the reader with a thorough understanding of BIAN’s architecture and how it can be used to support an organization on its journey to becoming an agile business organization and developing an application platform. BIAN is a semantic standard. It provides business building blocks and defines them in business terms. It provides a business view on both the business and application architectures. This second edition not only includes the more recent deliverables, it also takes a stepped approach through the different topics. It aims to be more appealing to a business audience by addressing the building blocks of BIAN and their possible use in business terms, whilst also including many real-life examples of BIAN’s usage. As such, it should not only appeal to application and business architects, but also to their managers, their business partners and other stakeholders who work closely with them. The first part of the book focuses on the theory: BIAN’s organization, the principles and patterns on which its architecture is based, and its building blocks. The second part of the book explains – in methodology-independent terms – how BIAN can be applied in different architectural layers by different disciplines, in co-operation with architects. This part of the book includes a number of practical examples intended to improve the reader’s understanding of the building blocks of the BIAN architecture and encourage them to apply it for the benefit of their own organization. The final part of the book should inspire the reader even further by clearly illustrating the synergy between the content that BIAN delivers and the architecture methodology provided by TOGAF. |
| financial data service providers industry: MarketPsych Richard L. Peterson, Frank F. Murtha, 2010-07-30 An investor's guide to understanding the most elusive (yet most important) aspect of successful investing - yourself. Why is it that the investing performance of so many smart people reliably and predictably falls short? The answer is not that they know too little about the markets. In fact, they know too little about themselves. Combining the latest findings from the academic fields of behavioral finance and experimental psychology with the down-and-dirty real-world wisdom of successful investors, Drs. Richard Peterson and Frank Murtha guide both new and experienced investors through the psychological learning process necessary to achieve their financial goals. In an easy and entertaining style that masks the book’s scientific rigor, the authors make complex scientific insights readily understandable and actionable, shattering a number of investing myths along the way. You will gain understanding of your true investing motivations, learn to avoid the unseen forces that subvert your performance, and build your investor identity - the foundation for long-lasting investing success. Replete with humorous games, insightful self-assessments, entertaining exercises, and concrete planning tools, this book goes beyond mere education. MarketPsych: How to Manage Fear and Build Your Investor Identity functions as a psychological outfitter for your unique investing journey, providing the tools, training and equipment to help you navigate the right paths, stay on them, and see your journey through to success. |
| financial data service providers industry: Gender and Finance Ylva Baeckström, 2022-02-25 This book examines the world of finance and the role of gender within it. It looks at the financial services industry, arguably the most powerful and remunerative sector that exists, and shows how it was created by men for men. The author explains how historically women were excluded, how minimal progress has been made, and outlines how the sector still needs to change to function effectively in a modern, equal opportunities world. Addressing gender inequality in financial services is of utmost urgency and importance because of the extent to which it affects women in all stages of life. Women’s exclusion in financial services is also mirrored by how men have been excluded from parenting through a similar set of societal expectations, government legislation and corporate policies. The author maintains that to succeed, we need to address both financial services and parenting. To do so we need regulatory support. Because of its power and dominance, the financial services industry has the opportunity to lead this change and to champion gender equal practices. These practices are economically beneficial to all participants, not only female employees and consumers. We all need these benefits as we rebuild our economies following the COVID-19 pandemic. The book makes an important contribution to the critical and increasing awareness of gender concerns. It presents insights drawn from original research and data about gender biases. The book is an essential secondary text for a range of university courses, including economics, finance and accounting, business studies and gender related courses, as well as MBAs and Executive Education programmes that focus on gender in business. It is also a must read for policy makers, managers in financial services institutions and any other businesses that seek to attract the growing market of female consumers, employees and business leaders. |
| financial data service providers industry: Fintech International Monetary Fund, World Bank, 2019-06-27 The paper finds that while there are important regional and national differences, countries are broadly embracing the opportunities of fintech to boost economic growth and inclusion, while balancing risks to stability and integrity. |
| financial data service providers industry: New Horizons for a Data-Driven Economy José María Cavanillas, Edward Curry, Wolfgang Wahlster, 2016-04-04 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. |
| financial data service providers industry: Data Model Scorecard Steve Hoberman, 2015-11-01 Data models are the main medium used to communicate data requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Therefore it’s essential to get the data model right. But how do you determine right? That’s where the Data Model Scorecard® comes in. The Data Model Scorecard is a data model quality scoring tool containing ten categories aimed at improving the quality of your organization’s data models. Many of my consulting assignments are dedicated to applying the Data Model Scorecard to my client’s data models – I will show you how to apply the Scorecard in this book. This book, written for people who build, use, or review data models, contains the Data Model Scorecard template and an explanation along with many examples of each of the ten Scorecard categories. There are three sections: In Section I, Data Modeling and the Need for Validation, receive a short data modeling primer in Chapter 1, understand why it is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3. In Section II, Data Model Scorecard Categories, we will explain each of the ten categories of the Data Model Scorecard. There are ten chapters in this section, each chapter dedicated to a specific Scorecard category: · Chapter 4: Correctness · Chapter 5: Completeness · Chapter 6: Scheme · Chapter 7: Structure · Chapter 8: Abstraction · Chapter 9: Standards · Chapter 10: Readability · Chapter 11: Definitions · Chapter 12: Consistency · Chapter 13: Data In Section III, Validating Data Models, we will prepare for the model review (Chapter 14), cover tips to help during the model review (Chapter 15), and then review a data model based upon an actual project (Chapter 16). |
| financial data service providers industry: OECD Sovereign Borrowing Outlook 2021 OECD, 2021-05-20 This edition of the OECD Sovereign Borrowing Outlook reviews developments in response to the COVID-19 pandemic for government borrowing needs, funding conditions and funding strategies in the OECD area. |
| financial data service providers industry: FinTech Parag Y Arjunwadkar, 2018-04-17 Everything that we know about the world of finance is changing before us. Innovation is happening constantly, despite the protests of the traditional financial industry. With all the new technology that we have today, it is almost mind-blowing to think about the kind of technology that we will have in another ten years or so. The change is going to keep coming, the only thing we can do is get on board with it. This book introduces the basics of FinTech and equips readers with the knowledge to get on the cutting edge of age we live in today. |
| financial data service providers industry: The AI Book Ivana Bartoletti, Anne Leslie, Shân M. Millie, 2020-06-29 Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important |
| financial data service providers industry: Open Innovation in the Financial Services Daniel Fasnacht, 2009-02-11 Open innovation means gathering new ideas from sources beyond organizational boundaries. It occurs when solutions to address clients’ needs are developed in collaboration and the resulting products and services are distributed through a flexible network of partners. Daniel Fasnacht’s book, the first of its kind, discusses open business models in the context of the financial services industry. He elaborates the drivers for strategic change such as increasingly sophisticated clients or demanding shareholders among other trends, including the recent global financial crisis, and explains why the transition from a closed model of operation to open innovation is vital. Various case studies illustrate how to integrate the client into the firm's innovation process and emphasize the importance of smart client segmentation and a holistic advisory model to serve clients around the globe. Leaders must develop a set of new management practices to be able to invest in multiple strategic directions. They are responsible for giving clients a remarkable experience and for creating social relationship capital based upon an open innovation culture. Open Innovation in the Financial Services provides a much-needed framework for helping to understand industry dynamics in banking and to make the most of organizational energy by using open innovation to sustain profitable growth. The book comes at the right time and offers a new mindset for business – not only for expansion strategies in general, but especially during turbulent times. |
| financial data service providers industry: The Elements of Big Data Value Edward Curry, Andreas Metzger, Sonja Zillner, Jean-Christophe Pazzaglia, Ana García Robles, 2021-08-01 This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation. |
| financial data service providers industry: Analyzing the Economics of Financial Market Infrastructures Diehl, Martin, 2015-08-17 The prosperity and stability of any economic structure is reliant upon a foundation of secure systems that regulate the movement of money across the globe. These structures have become an integral part of contemporary society by reducing monetary risk and increasing financial security. Analyzing the Economics of Financial Market Infrastructures is a pivotal reference source for the latest scholarly research on the current developments in financial systems and how these processes are evolving due to new regulations and technical advances. Featuring extensive coverage on a range of relevant topics on payment systems, central securities depositories, central counterparties, and trade repositories, this book is an essential reference source for professionals in the financial sector, analysts, IT professionals, and academicians concerned with emerging research on financial markets. This book features timely, research-based chapters on a variety of crucial topics including, but not limited to, payment timing, multi-layer networks, transaction simulations, payment system analysis, and regulation of financial marketplaces. |
| financial data service providers industry: SEC Docket United States. Securities and Exchange Commission, 2007 |
| financial data service providers industry: Effects of Information Technology on Financial Services Systems , 1984 |
| financial data service providers industry: Enterprise Applications, Markets and Services in the Finance Industry Nikolay Mehandjiev, Brahim Saadouni, 2019-05-17 This book constitutes revised selected papers from the 9th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2018, held in Manchester, UK, in June 2018. The 11 papers presented in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections named: financial innovation; market data analytics; and semantic modelling. |
| financial data service providers industry: The Future of Finance Henri Arslanian, Fabrice Fischer, 2019-07-15 This book, written jointly by an engineer and artificial intelligence expert along with a lawyer and banker, is a glimpse on what the future of the financial services will look like and the impact it will have on society. The first half of the book provides a detailed yet easy to understand educational and technical overview of FinTech, artificial intelligence and cryptocurrencies including the existing industry pain points and the new technological enablers. The second half provides a practical, concise and engaging overview of their latest trends and their impact on the future of the financial services industry including numerous use cases and practical examples. The book is a must read for any professional currently working in finance, any student studying the topic or anyone curious on how the future of finance will look like. |
| financial data service providers industry: Ten Years to Midnight Blair H. Sheppard, 2020-08-04 “Shows how humans have brought us to the brink and how humanity can find solutions. I urge people to read with humility and the daring to act.” —Harpal Singh, former Chair, Save the Children, India, and former Vice Chair, Save the Children International In conversations with people all over the world, from government officials and business leaders to taxi drivers and schoolteachers, Blair Sheppard, global leader for strategy and leadership at PwC, discovered they all had surprisingly similar concerns. In this prescient and pragmatic book, he and his team sum up these concerns in what they call the ADAPT framework: Asymmetry of wealth; Disruption wrought by the unexpected and often problematic consequences of technology; Age disparities--stresses caused by very young or very old populations in developed and emerging countries; Polarization as a symptom of the breakdown in global and national consensus; and loss of Trust in the institutions that underpin and stabilize society. These concerns are in turn precipitating four crises: a crisis of prosperity, a crisis of technology, a crisis of institutional legitimacy, and a crisis of leadership. Sheppard and his team analyze the complex roots of these crises--but they also offer solutions, albeit often seemingly counterintuitive ones. For example, in an era of globalization, we need to place a much greater emphasis on developing self-sustaining local economies. And as technology permeates our lives, we need computer scientists and engineers conversant with sociology and psychology and poets who can code. The authors argue persuasively that we have only a decade to make headway on these problems. But if we tackle them now, thoughtfully, imaginatively, creatively, and energetically, in ten years we could be looking at a dawn instead of darkness. |
| financial data service providers industry: Business Intelligence Strategy and Big Data Analytics Steve Williams, 2016-04-08 Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like big data and big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans |
| financial data service providers industry: Big Data Concepts, Theories, and Applications Shui Yu, Song Guo, 2016-03-03 This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable. |
| financial data service providers industry: Managing Business with Electronic Commerce: Issues and Trends Gangopadhyay, Aryya, 2001-07-01 This book addresses the importace of e-commerce from developing Web-based systems and pricing to payment systems and budgeting. |
| financial data service providers industry: State Capture Alex Hertel-Fernandez, 2019-01-03 Most Americans pay little attention to the massive number of elections that occur at the state level every year. Yet cumulatively, a party's success in state-level races across the country can produce major shifts in policymaking and governance. That is precisely what has happened in the US since 2010. In a wave election that year, the Republican Party began their ascendancy in state-level elections, and by 2016 had solidified their dominance. The party now fully controls 25 state legislatures and governorships-one of the largest advantages either party has had since the New Deal. After the GOP wave, a broad swathe of states began considering and enacting a near-identical set of conservative priorities-often even using the exact same text. Where did this flood of new legislation come from? How did so many states arrive at the same proposals at precisely the same time? As Alexander Hertel-Fernandez shows in the eye-opening State Capture, the answer can be found in a trio of powerful interest groups: the Koch Brothers-run Americans for Prosperity (AFP), the American Legislative Exchange Council (ALEC), and the State Policy Network (SPN). Drawing from an impressive evidence base, Hertel-Fernandez explains how, since the 1970s, conservative activists, wealthy donors, and big businesses constructed a right-wing troika of overlapping and influential lobbying groups. But it is about more than this. It also teases out how conservative-corporate mobilization has fostered epochal shifts in the American political economy: the decline of unions, party polarization, and the skyrocketing concentration of wealth. State Capture will be essential reading for anyone interested in understanding contemporary American politics. |
| financial data service providers industry: Plunkett's E-commerce & Internet Business Almanac 2006 Plunkett Research Ltd, 2006-02 A ready-reference guide to the E-Commerce & Internet Business! Complete profiles of over 400 of the largest, most successful corporations in all facets of the Internet sector. Our industry analysis covers B2C, B2B, online financial services, online travel and Internet access and usage trends. |
| financial data service providers industry: Plunkett's E-Commerce & Internet Business Almanac 2008: E-Commerce & Internet Business Industry Market Research, Statistics, Trends & Leading Companie Plunkett Research Ltd, 2007-03 This new almanac will be your ready-reference guide to the E-Commerce & Internet Business worldwide! In one carefully-researched volume, you'll get all of the data you need on E-Commerce & Internet Industries, including: complete E-Commerce statistics and trends; Internet research and development; Internet growth companies; online services and markets; bricks & clicks and other online retailing strategies; emerging e-commerce technologies; Internet and World Wide Web usage trends; PLUS, in-depth profiles of over 400 E-Commerce & Internet companies: our own unique list of companies that are the leaders in this field. Here you'll find complete profiles of the hot companies that are making news today, the largest, most successful corporations in all facets of the E-Commerce Business, from online retailers, to manufacturers of software and equipment for Internet communications, to Internet services providers and much more. Our corporate profiles include executive contacts, growth plans, financial records, address, phone, fax, and much more. This innovative book offers unique information, all indexed and cross-indexed. Our industry analysis section covers business to consumer, business to business, online financial services, and technologies as well as Internet access and usage trends. The book includes numerous statistical tables covering such topics as e-commerce revenues, access trends, global Internet users, etc. Purchasers of either the book or PDF version can receive a free copy of the company profiles database on CD-ROM, enabling key word search and export of key information, addresses, phone numbers and executive names with titles for every company profiled. |
| financial data service providers industry: The markets for electronic information services in the European economic area : supply, demand and information infrastructure ; European report of the member states' study (MSSTUDY) Willi Bredemeier, Sabine Graumann, Werner Schwuchow, 1996 The report on the main findings of a project analyzing the European electronic information services (EIS) market. This is the 1st international study of this kind covering both the supply side & the demand side of EIS, plus additional important factors influencing the development of these markets, e.g. the national information policies, the markets for printed information products, the technical infrastructure in the different countries, the different library systems, information intermediaries & brokers, potential users/end-users, etc. Charts & tables. |
| financial data service providers industry: U.S.-Colombia Trade Promotion Agreement: Potential Economy-Wide and Selected Sectoral Effects, Inv. TA-2104-023 , |
| financial data service providers industry: Plunkett's Almanac of Middle Market Companies 2009 Jack W. Plunkett, 2008-08 A business development tool for professionals, marketers, sales directors, consultants and strategists seeking to understand and reach middle market American companies. It covers important business sectors, from InfoTech to health care to telecommunications. Profiles of more than 500 leading US middle market companies. Includes business glossary, a listing of business contacts, indexes and database on CD-ROM. |
| financial data service providers industry: The Future of Money United States. Congress. House. Committee on Banking and Financial Services. Subcommittee on Domestic and International Monetary Policy, 1995 |
| financial data service providers industry: Plunkett's E-Commerce & Internet Business Almanac Jack W. Plunkett, 2009-03 Market research guide to e-commerce and internet business a tool for strategic planning, competitive intelligence, employment searches or financial research. Contains trends, statistical tables, and an industry glossary. Includes one page profiles of e-commerce and internet business firms - includes addresses, phone numbers, executive names. |
| financial data service providers industry: Internet Strategies D. Stroud, 1998-06-19 The Internet challenges many basic assumptions about the structure of business processes, channels of distribution, product marketing, competitiveness and resource management. It places new demands on organisations and those determining strategy and direction. There are tools and concepts that can enable managers to face these challenges and give them some appreciation of the consequences of this new technology. In this book, Dick Stroud looks at the business implications of the internet at a strategic level. Without going into technical details, he looks at what is driving the development of the internet and how it might impact on a number of aspects of an organisation's operations. He then defines strategies that can be adopted and outlines the benefits and weaknesses of each, providing the diagnostic tools to enable managers to make decisions about their own businesses. |
| financial data service providers industry: Plunkett's E-Commerce and Internet Business Almanac 2007 Jack W. Plunkett, 2007-02 Serves as a guide to the E-Commerce and Internet Business worldwide. This volume features data you need on E-Commerce and Internet Industries, including: E-Commerce statistics and trends; Internet research and development; Internet growth companies; online services and markets; online retailing strategies; and more. |
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