Big Data Phenomenon in Banking

Big Data Cases in Banking and Securities

iCARE: A framework for big data-based banking customer analytics

The amount of data stored by banks is rapidly increasing and provides the opportunity for banks to conduct predictive analytics and enhance its businesses. However, data scientists are facing large challenges, handling the massive amount of data efficiently and generating insights with real business value. In this paper, the Intelligent Customer Analytics for Recognition and Exploration (iCARE)...

Agile visual analytics for banking cyber "big data"

This paper describes the rapid development of a tailored cyber situational awareness and analysis application for the 2012 IEEE VAST Mini-Challenge 1 (MC1) – Cyber Situation Awareness. The novel aspect of this project was in the process of developing the tailored solution for a “big data” application. Aperture is an open, adaptable, and extensible Web 2.0 visualization framework, designed to pr...

Privacy and Security of Big Data in THE Cloud

Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...

Big Data Quality: From Content to Context

Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...