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Why is Regulatory Reporting Tough?

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‘Regulatory reporting’ is the submission of raw or summary data needed by regulators to evaluate a bank’s operations and its overall health, thereby determining the status of compliance with applicable regulatory provisions. Governments across the world give prime importance to keep their banking systems updated. This has proved to be an important task, more so after the…

Scope of Data Integration

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Data[1] integration involves combining data residing in different sources and providing users with a unified view of data. This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories) domains. Data integration has increased  as the volume and the need to…

The Rise and Scope of FinTech

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There are undoubtedly a lot of challenges banks are currently facing. The dynamic regulatory environment and the rise of technology in everyday banking activities is changing the way we bank, and catering to this fast evolving dynamics is tough for most banks. This is where FinTech is making a difference. According to the infographics created…

Regulatory Reporting for Financial Institutions: The Technology Challenge

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While we have previously analyzed the impact of regulations on banks due to various key issues (see related articles at the end of the blog), implementation of new technology and the need to update IT infrastructure has been a significant issue for banks and financial institutions. Regulators demand information on various activities (liquidity management, asset…

Big Data Analytics: Modern day Use Cases

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The primary goal of Big Data Analytics is to help companies make more informed business decisions by enabling data scientists, predictive modelers and other analytics professionals to analyze large volumes of transaction data, as well as other forms of data that may be untapped by conventional business intelligence (BI) programs. History and evolution of Big Data Analytics [1]…

How can Banks keep up with changes in Regulatory Reporting?

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It’s a vicious cycle. The economic crisis caused by the financial downturn led to regulators coming up with new reporting requirements and changes in regulatory reporting formats. Financial institutions as well as banks are now finding it harder to cope with the different regulations. Why are banks struggling? Reporting and collating a constant stream of…

Which are the commonly used Hadoop Tools in Banking?

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Hadoop Infrastructure Hortonworks The company provides Hadoop Implementation and Solutions to various industries, also including financial institutions. Their main focus is to minimize risks by using analytics and data processing to maximize opportunity. Hadoop solutions by Hortonworks are used in banks, insurance companies and security firms to Detect Fraud, Model and Manage Risk, Improve Debt…

Hadoop in Banking: The Game Changer

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What is Hadoop? Apache Hadoop is an open source software framework written in Java for distributed storage and processing of very large datasets on multiple clusters. Developed by Doug Cutting and Mike Cafarella in 2005, the core of Apache Hadoop consists of ‘Hadoop Distributed File system for storage and MapReduce for processing data. The basic…

AML: Dissuade Money Laundering

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Money Laundering Vs Terrorist Financing Money Laundering is a vicious method of making illegitimate money look legitimate by following the classic PLI (Placement-Layering-Integration) process. Criminals use this process to hide the original ownership and make the proceeds appear to have originated from a legitimate source. Terrorist Financing is even more deceptive due to the possibility…