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…

Big Data Adoption Process

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Big Data, the current buzz word in the IT and financial space has caught the imagination of a lot of organizations. Studies released in the past year or so have clearly shown that Big Data investments are rising across industries and around the globe[1]. It represents a business adoption paradox: it promises speed, but successful…

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…

How Big Data Addresses the Issue of Anti-Money Laundering

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Anti-Money laundering (AML) is a term mainly used in the financial and legal industries to describe the legal controls that require financial institutions and other regulated entities to prevent, detect, and report money laundering activities. Money laundering activities typically aim to generate income with no regulation to maximize income for as little cash outflow as possible, with no…

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]…

Automation in Banking

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Banking and Automation- the two terms are synonymous to each other in the same way bread is to butter – always clubbed together. We live in a digital age and hence, no institution of the global economy can be immune from automation and the advent of digital means of operations. In fact, banks and financial…

Why shift from ETL to ELT?

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The process of data warehousing is undergoing rapid transformation, giving rise to various new terminologies, especially due to the shift from the traditional ETL to the new ELT. For someone new to the process, these additional terminologies and abbreviations might seem overwhelming, some may even ask, “Why does it matter if the L comes before…

History of Big Data

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What is Big Data? In essence, Big Data is a term for data sets that are so large or complex that traditional data processing applications are inadequate. It usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage and process data within a tolerable elapsed time[1]. The…

Blockchain ’s Disruptive Technology

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Ownership of Asset and transfers made between businesses can be costly, time consuming and inefficient with a high vulnerability of manipulation. There are high chances of dissimilarities with the ledgers of the parties. But there is one way to resolve these issues: Blockchain. What is Blockchain? Blockchain can be defined as a public ledger, openly…

How Banks Utilize Big Data Technology

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With the banking regulatory landscape undergoing a transformation, banks have realized the need for deploying Big Data technology to efficiently manage risks that come with growth of data. Following are some cases that explain how Big Data technology has been put into practice to meet critical banking requirements: Fraud Detection and Security Address anomalies in…

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…

The Cloud for Productivity

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In today’s world remote working is extremely essential because of the level of convenience it can get for any kind of business. Talking about convenience, businesses want security, online storage and access, in-house bookkeeping and a lot more attributes that Cloud Computing has to offer.   What is Cloud Computing? Cloud Computing is a model…

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…

Discover Opportunities of Big Data Analytics

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Big Data Analytics is the hammer which chisels the marble chunks of big data revealing risk patterns, fraud alerts, operational trends, customer preferences and other nuggets of information. This in turn leads to more timely identification of risks, efficient marketing, increased profits and improved customer service. What is the Goal of Big Data Analytics?   Big Data’s…

6 Misconceptions of Big Data

Amidst the social, economic and technological revolution swirling around us, how we understand information has assumed even greater importance. Data is deeply embedded in every aspect of our lives from business to leisure and this data can in turn be used to sort out issues and ensure greater prosperity. Big Data provides insights and the…