Big Data Analytics In Banking

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Big Data Analytics In Banking

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Author : Ahmed Musa
language : en
Publisher: Recorded Books
Release Date : 2024-12-16

Big Data Analytics In Banking written by Ahmed Musa and has been published by Recorded Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-16 with Business & Economics categories.

Big data analytics in banking refers to the use of vast amounts of structured and unstructured data to enhance decision-making, improve customer service, and optimize operations. With the rise of digital banking, financial institutions now have access to an unprecedented amount of data from customer transactions, online behavior, social media, and market trends. By analyzing this data, banks can gain valuable insights into customer preferences, risk profiles, and emerging market opportunities. This allows them to offer personalized financial products, predict customer needs, and identify potential fraud or credit risks more effectively.

Big Data Infused Erp In Banking Transforming Digital Finance Through Predictive Analytics And Cloud Computing

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Author : Vasu velaga
language : en
Publisher: SADGURU PUBLICATIONS
Release Date :

Big Data Infused Erp In Banking Transforming Digital Finance Through Predictive Analytics And Cloud Computing written by Vasu velaga and has been published by SADGURU PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.

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Next Gen Erp For Banking Ai Driven Big Data Strategies For Financial Automation And Risk Intelligence

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Author : Gangadhar Sadaram
language : en
Publisher: SADGURU PUBLICATIONS
Release Date :

Next Gen Erp For Banking Ai Driven Big Data Strategies For Financial Automation And Risk Intelligence written by Gangadhar Sadaram and has been published by SADGURU PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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Big Data In Finance Transforming The Financial Landscape

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Author : Bahaaeddin Alareeni
language : en
Publisher: Springer Nature
Release Date : 2025-07-12

Big Data In Finance Transforming The Financial Landscape written by Bahaaeddin Alareeni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Computers categories.

This book uncovers the potential of machine learning, artificial intelligence, and advanced analytics to empower financial institutions to stay competitive in an ever-evolving market. In the age of digital transformation, big data is revolutionizing the financial industry, reshaping how businesses understand markets, manage risks, and make strategic decisions. "Big Data in Finance: Transforming the Financial Landscape" offers a comprehensive exploration of the cutting-edge technologies and analytics driving this change, making it an essential resource for professionals, scholars, business leaders, and enthusiasts alike. From enhancing operational efficiency to enabling more accurate forecasting, this book delves deep into how data-driven insights are transforming traditional financial models. With practical insights, real-world applications, and contributions from industry leaders, this book provides a balanced perspective on both the opportunities and challenges of data-driven finance. It addresses key ethical considerations, regulatory concerns, and future trends, offering readers a holistic understanding of the dynamic intersection of technology and finance. Discover how big data is shaping the future of finance, and gain the knowledge you need to harness its full potential. Whether you're looking to innovate, optimize, or simply stay informed, "Big Data in Finance: Transforming the Financial Landscape" is your roadmap to success in the new era of digital finance.

Digital Transformation In Banking Leveraging Big Data And Ai

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Author : Kaushikkumar Patel
language : en
Publisher: Xoffencerpublication
Release Date : 2024-01-10

Digital Transformation In Banking Leveraging Big Data And Ai written by Kaushikkumar Patel and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-10 with Business & Economics categories.

There was a time when the banking business was differentiated by its traditional brick-andmortar operations; but, in the present day, it is at the forefront of digital innovation. It has become clearly clear that the moment for digital transformation in banking is certainly now. This is because the expectations of consumers continue to rise continuously, and the need for experiences that are both seamless and customised continues to grow. Through the use of cutting-edge technology and solutions that are centred on the user, financial institutions are able to enhance the services they offer, streamline their processes, and preserve their competitive advantage in an environment that is continually evolving. In addition to this, the emergence of disruptive fintech companies that are challenging the status quo is another aspect that is contributing to the growing need of adopting digital tactics. This is in addition to the fact that it is essential to provide services to customers who are wellversed in contemporary technological developments. During the fiscal year 2022, mid-size banks and credit unions raised their investments in digital transformation by more than fifty percent, reaching roughly four hundred and twentyfive thousand dollars for every one billion dollars in assets, according to a research that was just published by Alkami. This is an increase from the average of slightly more than $200,000 per $1 billion in assets for the fiscal year 2021, and it is only projected that this trend will continue to climb in the fiscal year 2023. This shows an increase from the previous year. In order for financial institutions to continue to provide their customers value, convenience, and safety in the 21st century, it is essential for them to take substantial steps in the process of modernising their operations as we go deeper into the age of digital banking. This will guarantee that they continue to provide their customers with these benefits.

Guide To Big Data Applications

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Author : S. Srinivasan
language : en
Publisher: Springer
Release Date : 2017-05-25

Guide To Big Data Applications written by S. Srinivasan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Technology & Engineering categories.

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Banking 5 0

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Author : Bernardo Nicoletti
language : en
Publisher: Springer Nature
Release Date : 2021-07-06

Banking 5 0 written by Bernardo Nicoletti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-06 with Business & Economics categories.

Bill Gates’ quote, “Banking is necessary, but banks are not,” showcases the opportunity for financial services digital transformation. The next transition from industry 4.0 to 5.0 will impact all sectors, including banking. It will combine information technology and automation, based on artificial intelligence, person-robot collaboration, and sustainability. It is time to analyze this transformation in banking deeply, so that the sector can adequately change to the ‘New Normal’ and a wholly modified banking model can be properly embedded in the business. This book presents a conceptual model of banking 5.0, detailing its implementation in processes, platforms, people, and partnerships of financial services organizations companies. The last part of the book is then dedicated to future developments. Of interest to academics, researchers, and professionals in banking, financial technology, and financial services, this book also includes business cases in financial services.

Big Data

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Author : Hrushikesha Mohanty
language : en
Publisher: Springer
Release Date : 2015-06-29

Big Data written by Hrushikesha Mohanty and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-29 with Computers categories.

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.

Big Data Applications In Industry 4 0

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Author : P. Kaliraj
language : en
Publisher: CRC Press
Release Date : 2022-02-09

Big Data Applications In Industry 4 0 written by P. Kaliraj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-09 with Business & Economics categories.

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

Big Data Analytics For Cloud Iot And Cognitive Computing

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Author : Kai Hwang
language : en
Publisher: John Wiley & Sons
Release Date : 2017-08-14

Big Data Analytics For Cloud Iot And Cognitive Computing written by Kai Hwang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-14 with Computers categories.

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.