The Growth And Development Of The Banking Sector

The analysis of big data is the process of organizing, collection, analyze and examining the large volume of data to find patterns, market trends and useful information. This analysis helps organizations to better understanding about the information within data, and helps analyst to make better

Simply, the banks perform financial intermediation with the deposits of the customers/ business and then lending out that money to earn profits. The banking system concern, it plays a vital role in any country economy by encouraging investment activities as well as money savings. Moreover, online baking, providing debit and credit cards, ATM facilities, providing safe custody of valuable items and lockers are some of the facilities provided by banks to make their relationship with the customers more effective and efficient.

Big Data is an expansive phrase for data sets so called big, large or complex that they are very difficult to process using traditional data processing applications. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. In common usage, the term big data has largely come to refer simply to the use of predictive analytics. Big data is a set of techniques and technologies that need or require new forms of integration to expose large invisible values from large datasets that are diverse, complex, and of a massive scale. When big data is effectively and efficiently captured, processed, and analyzed, companies

The author points out that although there are existing algorithms and tools available to handle Big Data, they are not sufficient as the volume of data is exponentially increasing every day. To show the usefulness of Big Data mining, the author highlighted the work done by United Nations. In order to further enhance the reader’s perspective, the author provided research work of various professionals to educate its readers about the most recent updates in Big Data mining field. The author further describes the controversies surrounding Big Data. The author has first provided the context and exigence by elaborating on why we need new algorithm and tools to explore the Big Data. The author used the strategy of highlighting the logos by mentioning the research work of different industry professionals, workshops conducted on Big Data and was able to appeal to connect to the reader’s ethos. The author also used pathos by urging the budding Big Data researchers to further dig deep into the topic and explore this area

Big data: Faster, cheaper computing power enables risk functions to use reams of structured and unstructured customer information to help them make better credit risk decisions, monitor portfolios for early evidence of problems (The future of Bank Risk Management,

In this essay I will be writing about Online Banking, its use, how it evolved, impacts and how it benefited the global businesses. In late 1980s, the term online banking became popular. But in 1990s, the financial institutions implemented the online banking services. Initially it took some time to adopt the customers to do monetary transactions through online banking. Afterwards, with increasing use of computers, internet and World Wide Web, banks introduced new form of banking called Online Banking. It is a service from a bank to perform banking transactions through internet. Transactions like paying bills, transferring funds, applications and payments over loans & mortgages, accounting statements viewing, viewing account’s transaction history, looking for products and services provided by banks, getting answers of queries instantly.

As a capitalistic society, the United States banking sector has flourished ever since the chartering of its first bank, Bank of North America in 1781 (Smith). Historically, banking has brought on significant industrialization in the United States, enabling our nation to stand among the most powerful today. However, the current United States national debt is at $19.2 trillion, and every second it is increasing exponentially (“U.S. National”). How did we manage to fall into such a dark abyss of financial debt? Poor banking, continuous deregulation of the banking sector, riskier and higher leveraged investments, sub-prime mortgage loans, and fraud. These are all factors which have led our economy to collapse over and over again. In this mess

What is Big Data? Big Data is the mass collection of user data by mathematical algorithms, databases, data mining, and the use of datasets that were once believed to be static and unusable. Big Data’s history goes way back “…70 years to the first attempts to quantify the growth rate in the volume of data, or what has popularly been known as the “information explosion” (Press, Gil).” Researchers had predicted the massive growth of information and how our ability to collect and store it would need to continue to grow as well.

In a fast paced, business ordinated technological world the overall welfare of a company is tied to the success or failure to make the tough decisions. On one instance a company’s CEO might be able to make the choices based on experience, advice, or simple gut instinct. However, this is not the only skill one needs. There is a great deal of information to be found in being able to see investments in data and analytics. These decisions are based off of big data. Big data is a catch-phrase, used to describe a massive volume of both structured and unstructured data that is too large to process using traditional database and software techniques. The volume of data is in most cases is too big, moves too fast or it exceed the processing capacity the company has. Despite these potential drawbacks, big data contains the potential to help companies by improving operations and making faster, more intelligent decisions. This can be broken into three key parts, knowledge, data, and information.

Business thrive when they have the most accurate, up-to-date, and relevant information at their disposal. This information can be used for a plethora of pertinent markers in small and large businesses, relating to accounting, investments, consumer activity, and much more. Big data is a term used to describe the extremely large amounts of data that floods a business every day. For decades, big data has been a growing field, facing controversy on many levels, but as of late, it has been a major innovator in the challenge of making businesses more sustainable. Big data is often scrutinized for its over-generalization and inability to display meaningful results at times. When applied correctly, data analysis can bring earth-altering information to the table.

Big data analytics is the process of checking and handling large data sets which normally contains variety of data types. Through handling these data it helps to know the patterns and even the correlations which are not known. Handling of the large data sets also helps in knowing the market trends and even in knowing what the customers prefer. The information which these data analytics gives are important information for business. Most of the surveys which have been done have shown that big data analytics have revolutionized supply chain. Most companies and

Big data is buzzword in every field of business as well as research. Organizations have found its application across various sectors from Sports to Security, from Healthcare to e-Commerce.

Big data is anything which is too large for traditional databases to handle. They range from Terabytes of data to petabytes of data. Big data is generated from various sources, such as social media networks, oil wells, mobile phone conversations, weather data etc.

Turning Big Data into Competitive Advantage . . . . . . . . . . . . . . . . . . . 1 Can Banks Play ‘Moneyball’? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 How to Ride the Big Data Wave . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 With Big Data Comes Great Responsibility (to Your Customers) . . . . 5 Mining for Gems: Analytic Insights from Big Data . . . . . .

Big data is an extensive collection of structured and unstructured data. It is a modern day technology which is applied to store, manage and analyze data that are not possible to manage, store and analyze by using the commonly used software or tools. Since all of our daily tasks are overtaken by the modern technologies and all the businesses and organizations are using internet system to operate, the production of data has increased significantly in past