Big DataComputational ScienceEconomicsFinanceManagementTheoretical ModelsEconometric and Statistical ModelsApplicationsThe paper provides a review of the literature that connects Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology, and discusses research issues that are ...
The Master of Science Finance & Big Data trains specialised data scientists in order to meet the needs of the financial sector. Part-time program in Paris.
The role of big data in implementing supply chain finance (SCF) initiatives lacks empirical study. There is little guidance available for managers on developing an integrated SCF process in the era of big data. Using organizational information processing theory, this study develops and empirically tes...
This study also presents a framework, which will facilitate the way how big data influence on finance. Some other services relating to finance are also highlighted here to specify the extended area of big data in financial services. These are the contribution of this study in the existing ...
Data Science in a Box using IPython: Creating a Linux VM on Windows Azure (1/4)I just returned from the Python in Finance Conference in New York, I would like to thank Bank of...Date: 04/09/2013Enter the Big Data Matrix: analyzing meanings and relations of everything (2/2)...
ICAEW Data Analytics Certificate Programme In an increasingly data-rich and technology-driven world, finance teams must learn how to harness and make sense of data and what it means for the business. Data analytics and data science skills are showing the biggest growth in demand from employers, ...
2383 ABC Male Finance 650,000 4623 XYZ Male Admin 5,000,000 b) Semi-structured Data: In this form of data, the schema is not properly defined, i.e., both forms of data are present. So, semi-structured data has a structured form but it is not defined; for example, JSON, XML, CS...
However, the finance field and machine learning face a significant research challenge due to the quality of data, as it directly influences decisions made during modeling and analysis [1, 2]. To tackle this issue, we delve into the available feature space, extracting a pertinent set of ...
papers demonstrating applications ofbig datain domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be...
Banking and finance This is the one of the top domains when it comes to deployment ofbig data applications. Since banking and finance works exclusively with large amounts of data there is need to make sense of all that data at scale. It could be about understanding the credit risk of a ...