Sebanyak 38251 item atau buku ditemukan

Technologies and Applications for Big Data Value

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

using channels such as mobile apps or online banking, and they afterwards use this data for security and fraud-prevention processes. One of the processes is to identify relationships between customers and use them to verify posterior ...

Big Data in the GovTech System

This book presents applications and solutions of Big Data in the GovTech system and recommendations for regulating the institutions of the digital economy and information society for the wide application of Big Data with the use of the institutional approach. In this book, a systematic scientific understanding of GovTech is formed, the central place of Big Data in this system is substantiated, and modern experience in the functioning and development of this system is considered in detail. The contribution of the book to the literature is to bridge the gap between theory and practice of GovTech through a comprehensive study of all its manifestations in the three parts of the book. The first part is devoted to GovTech in the provision of high-tech educational services based on Big Data. The second part reflects state regulation of the economy by industry using Big Data in the GovTech. The third part outlined the digital divide and the experience of overcoming it with the help of GovTech based on Big Data. The practical significance of the book lies in the fact that it offers a holistic practical guide to the development of the GovTech system based on Big Data. The book will be of interest to academic scientists studying GovTech, as it clarified its categorical apparatus and scientific basis. The subjects of management in GovTech form the secondary target audience of this book, which provides them with numerous cases from the experience of modern Russia, as well as applied recommendations for improving the efficiency of the GovTech system based on Big Data. The book is multidisciplinary and is intended for scientists from various fields of science (pedagogy, economics, business, law, management, and ICT).

In July 2021, the Department of Statistics reflected in the report the cheapest banks in France in 2020 in terms of annual commissions for banking services in the area of Internet banking services [16]. Experience of Sweden In Sweden, ...

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

Surveying the Relationship Between E-Banking Services Customers' Receptions and Expectations and Their Satisfaction and Loyalty at Refah Bank in Ardebil \\ Singaporean Journal of Business, Economics and Management Studies .- 2013, Vol. 2, No. 1