Sebanyak 21474 item atau buku ditemukan

Building Big Data Applications

Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.). Explores various ways to leverage Big Data by effectively integrating it into the data warehouse Includes real-world case studies which clearly demonstrate Big Data technologies Provides insights on how to optimize current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

Banks across the globe have increased their technology investments in strategic areas such as Analytics, Data & Mobile. The Bank of the future increasingly resembles a technology company”. Technology is transforming Banking and it is ...

Open and Big Data Management and Innovation

14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Delft, The Netherlands, October 13-15, 2015, Proceedings

This book constitutes the refereed conference proceedings of the 14th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2015, held in Delft, The Netherlands, in October 2015. The 40 revised full papers presented together with 1 keynote panel were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: adoption; big and open data; e-business, e-services,, and e-society; and witness workshop.

income level as a considerable positive predictor of the customers' acceptance of Tele‐banking in Saudi Arabia. Likewise, according to Kolodinsky et al. [20], the adoption rate of Internet banking channels was observed to be in the ...

Big Data Governance and Perspectives in Knowledge Management

The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.

Big data and central banks. Bank of England, Quarterly Bulletin. Retrieved from https://ssrn.com/abstract=2577759 Borio, C. (2013). The Great Financial Crisis: setting priorities for new statistics. Journal of Banking Regulation.

Fusing Big Data, Blockchain and Cryptocurrency

Their Individual and Combined Importance in the Digital Economy

As technology continues to revolutionise today’s economy, Big Data, Blockchain and Cryptocurrency are rapidly transforming themselves into mainstream functions within the financial services industry. This book examines each concept individually, analysing the opportunities and challenges they bring and exploring the potential for future development. The authors further evaluate the fusion of these three important products of the FinTech revolution, illustrating their combined influence on the digital economy. Providing a comprehensive analysis of three innovative technologies, this timely book will appeal to scholars researching innovation in the finance industry and financial services technology more specifically.

5.3.1 FinTech-Empowered Bank 4.0 and Financial Inclusion 5.3.1.1 Bank 4.0 If we now temporarily put the technical concepts and the advancements of more and more exciting technology-enabled financial solutions aside, in general, ...

Handbook of Big Data Privacy

This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.

Bank User Should change password every 3 months. Use virtual keyboard to enter password rather than keyboard to Use trusted device and avoid using public network for e banking successfully login. enlisted on the banking website avoid ...

Handbook of Research on Driving Socioeconomic Development With Big Data

Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. Socioeconomic development depends not only on big data, but also on big data technologies. However, the relationship between big data and socioeconomic development is not adequately covered in current research. The Handbook of Research on Driving Socioeconomic Development With Big Data provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of business and services, healthcare, the internet of everything, sharing economy, and more. Covering topics such as corporate social responsibility, management applications, and process mining, this major reference work is an excellent resource for data scientists, business leaders and executives, IT professionals, government officials, economists, sociologists, librarians, students, researchers, and academicians.

INTRODUCTION The German banking system traditionally consists of three pillars, private sector banks, public savings banks and cooperative banks. This structure makes the German banking system unique (Behr & Schmidt, 2015; Frank et al., ...

Big Data, Mining, and Analytics

Components of Strategic Decision Making

There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data. Facilitating a clear understanding of big data, it supplies authoritative insights from expert contributors into leveraging data resources, including big data, to improve decision making. Illustrating basic approaches of business intelligence to the more complex methods of data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, MIT Center for Digital Business; and Co-Founder, International Institute for Analytics Introduces text mining and the transforming of unstructured data into useful information Examines real time wireless medical data acquisition for today's healthcare and data mining challenges Presents the contributions of big data experts from academia and industry, including SAS Highlights the most exciting emerging technologies for big data--Hadoop is just the beginning Filled with examples that illustrate the value of analytics throughout, the book outlines a conceptual framework for data modeling that can help you immediately improve your own analytics and decision-making processes. It also provides in-depth coverage of analyzing unstructured data with text mining methods to supply you with the well-rounded understanding required to leve

This book ties together big data, data mining, and analytics to explain how readers can leverage them to transform their business strategy.

E-Banking an Initiative for Customer Relationship Management Vis a Vis SBI.

E-Banking as helped in establishing relations with customers and has provided convenience to the customers by reducing time in processing and transaction. In this Internet era when the active internet user have increased over 45.3 million and when we expect India to rise to third position in Internet usage by 2013, the need to incorporate CRM in operations and in business has increased. It has been estimated that there is about 60% cost saving in e-banking. In India, ICICI bank has started online banking in 1996. After it, City bank, IndusInd bank, HDFC bank introduced it. Very late it was introduced in nationalized banks like SBI, Bank of Baroda, Punjab National bank etc. Findings: It was found that people in the age group of 20-30 prefer e-banking. People above 40 years of age prefer branch banking as they find it easier and they have been banking this way for years. They need guidance for e-banking.While analyzing the benefits of modern banking system using CRM and traditional banking system we the researchers found that the e-CRM practices have in lot many ways simplified the life of the customers. The modern banking system has been found to be time savvy, cost effective and easy to access to the customers. However customers do have security issues in mind. Customers have rated SBI high on Trust and Service quality.

E-Banking as helped in establishing relations with customers and has provided convenience to the customers by reducing time in processing and transaction.

Electronic-banking and Management

Technology Trust and E-banking Adoption

The Mediating Effect of Customer Relationship Management