The chapter discusses how Financial Services organizations can take advantage of Big Data analysis for disruptive innovation through examination of a case study in the financial services industry. Popular tools for Big Data Analysis are discussed and the challenges of big data are explored as well as how these challenges can be met. The work of Hayes-Roth in Valued Information at the Right Time (VIRT) and how it applies to the case study is examined. Boyd’s model of observe, orient, decide and act (OODA) is explained in relation to disruptive innovation in financial services. Future trends in big data analysis in the financial services domain are explored
Abstract: The financial services industry is known to be a competitive one, and literature suggests ...
Business analytics refers to the skills, technology, methods of continuous iterative discovery, and ...
Purpose In today's networked business environment, a huge amount of data is being generated and p...
The chapter discusses how Financial Services organizations can take advantage of Big Data analysis f...
The financial services industry was recently identified as the industry most likely to be disrupted ...
Big data is a very important issue today and is talked about a lot for many different reasons. It is...
The data revolution happening throughout the world has brought transformation in the financial servi...
The financial services industry's digital revolution has facilitated the penetration and transformat...
This paper discusses how global financial institutions are using big data analytics within their com...
Big data represents one of the most profound and most pervasive evolutions in the digital world. Exa...
One of the latest innovations in business and technology is the use of big data, as daily data is ge...
In today’s increasingly digital business ecosystem, big data offers numerous opportunities. Although...
We investigate the research prospects for using "Big data" in accounting and finance. The study's go...
Big data is one of the most recent business and technical issues in the age of technology. Hundreds ...
Information Systems to support Finance and Accounting functions within organisations form the backbo...
Abstract: The financial services industry is known to be a competitive one, and literature suggests ...
Business analytics refers to the skills, technology, methods of continuous iterative discovery, and ...
Purpose In today's networked business environment, a huge amount of data is being generated and p...
The chapter discusses how Financial Services organizations can take advantage of Big Data analysis f...
The financial services industry was recently identified as the industry most likely to be disrupted ...
Big data is a very important issue today and is talked about a lot for many different reasons. It is...
The data revolution happening throughout the world has brought transformation in the financial servi...
The financial services industry's digital revolution has facilitated the penetration and transformat...
This paper discusses how global financial institutions are using big data analytics within their com...
Big data represents one of the most profound and most pervasive evolutions in the digital world. Exa...
One of the latest innovations in business and technology is the use of big data, as daily data is ge...
In today’s increasingly digital business ecosystem, big data offers numerous opportunities. Although...
We investigate the research prospects for using "Big data" in accounting and finance. The study's go...
Big data is one of the most recent business and technical issues in the age of technology. Hundreds ...
Information Systems to support Finance and Accounting functions within organisations form the backbo...
Abstract: The financial services industry is known to be a competitive one, and literature suggests ...
Business analytics refers to the skills, technology, methods of continuous iterative discovery, and ...
Purpose In today's networked business environment, a huge amount of data is being generated and p...