Finance Is The Field That Deals With Investing Money And Studying Cash Flow Data

List and describe the three career opportunities in the field of finance. Finance has three main career paths: financial management, financial markets and institutions, and investments. Financial management involves managing the finances of a business. Financial managers—people who manage a business firm's finances—perform a number of tasks. They analyze and forecast a firm's finances; assess risk, evaluate investment opportunities, decide when and where to find money sources and how much money to raise, and decide how much money to return to the firm's investors. Bankers, stockbrokers, and others who work in financial markets and institutions focus on the flow of money through financial institutions and the markets in which financial assets are exchanged. They track the impact of interest rates on the flow of that money. People who work in the field of investments locate, select, and manage income-producing assets. For instance, security analysts and mutual fund managers both operate in the investment field.

They used facts and arguments from various sources, such as studies and authors. As they are introducing the topic, they use the ideas of Lev Manovich to justify their argument that the name “Big Data” can be misleading. Manovich observed that Big Data has been used to refer to data sets large enough to require supercomputers, yet large amounts of data can now be analyzed on much simpler computers. Boyd and Crawford contend that the value of the industry does not simply come from the large data sets, but the “patterns that can be derived by making connections between pieces of data…” By relating Manovich’s idea, their argument made more sense. As computers become more advanced, bigger data sets look much simpler. But the connections Big Data makes are still valuable, no matter how advanced computers

The word "data" may seem to be facts or numbers collected for future references and analysis of a subject that is being carefully examined, but data are pretty much used in all aspects of our lives. With these important facts and statistics, we can help an individual or a company reduce a significant amount of cost. These data can help companies such as Apple realized future growth potentials and where it can better maximize its income.

This excerpt of “Six Provocations for Big Data”, written by danah boyd and Kate Crawford, was a presentation on Big Data at Oxford University as part of a bigger convention. Big Data is mass produced information made possible by people, things and their interactions. Boyd and Crawford point out 6 backed-up claims on Big Data to prove that it’s weakening researchers’ understandings while also affecting the people that become a part of it. Crawford and boyd successfully conveyed through paragraph structure that “Big Data” can be used for research, but it’s use is unethical due to the unseen consequences that follow. The organization that these authors choose helped the reader focus on their point.

Here at the University of Florida, I am studying Finance. However, I did not start out in the Finance field. At the beginning of my Freshman fall semester, I was enrolled as a Nuclear Engineering major. After taking Chemistry and other introductory engineering courses, I realized the science aspect of it all was not for me. I came to the conclusion that I was more interested in the math side of things so I switched to a math-related major, Finance. My aunt was a Finance major here at UF and I have always been fascinated when she talks about her career path. Finance involves a different kind of math than just algebra or calculus. The type of math (like accounting for instance) that Finance includes interests me because it is geared

I agree that I am an informed skeptic, because you need to effectively balance judgement and analysis, and possess strong analytic skills. You also need to listen to other’s opinions, but be willing to dissent. The problems that prevent organizations from realizing better returns on their investment in big data are analytic skills are concentrated in too few employees. IT needs to spend more time on the I and less on the T. There is reliable information, but it is hard to locate. Business executives do not manage information as well as they manage talent, capital, and brand. Also companies that want to make better use of the data they gather should focus on training workers to increase their data literacy. Another is to have more efficiently incorporating information into decision making and giving workers the right tools to use.

Big data and its definition has changed over the years. In a 2011 research project by MGI and Mckinsey’s Business’ defined big data as

The promise of data-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of ``Big Data.’’ While the promise of Big Data is real -- for example, it is estimated that Google alone contributed 54 billion dollars to the US economy in 2009 -- there is currently a wide gap between its potential and its realization.

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.

This article is generally about how data analytics and the increasing amount of data that is starting to be compiled in the business world will shape how internal and external audits will be completed and evaluated. Essentially, the article starts talking about how there is so much data in the world and that it comes from many different sources including the web, books, or other reference materials. The article also mentions that the data that is being compiled is recent, saying that “90 percent of the data that exists today was created over the past two years” (Capriotti, 2014). Data has become so valuable that some companies are even considering it to be an asset to the company (Capriotti, 2014). The main use of data is simple: data helps companies make informed decisions regarding how the company conducts its operations; and with technology growing, data is becoming very large and also very complex. Capriotti classifies data analytics into four distinct categories: descriptive, diagnostic, predictive and prescriptive. Descriptive data helps a business understand what is going on in their organization at the current time. You could say a balance sheet would contain descriptive data. Diagnostic data is compiled after the fact, and focuses on the results of the decision a company made. Predictive data is compiled before the fact, and helps a company determine what

Now that we have figured out how to harvest the free and ubiquitous big data, the next huge challenge is to figure out how to analyze and display the information in a useful and meaningful way. The big question today is how you present big data in a way that human beings can quickly understand and make decision. Most big corporations and government entities are drowning in a pool of their own data, because they lack the corresponding manpower to understand the data and extract meaningful knowledge out of it (Bizer, Boncz, Brodie, & Erling, 2012).

ROLE: Finance is any area of study that helps get manage or invest the money. There is business finance, investment finance, home finance, car finance, and many other types. For most people managing their own money, personal finance is the most important type of finance.

The major that our group chose to represent is finance. Finance is the study of the management and investment of funds. According to West Chester University’s Department of Finance, it “focuses on investment, international finance, and financial markets.” As a finance major, students take their abilities further than just creating a budget, but they learn how to analyze different budgets to determine what the best investment option is for a company. Therefore, it is important for a finance major to have a particular set of skills to achieve goals in this field. Communication, problem solving, technological skills, and understanding the concepts in finance are important qualities that a finance major must attain to analyze problems.

Today, our society is bombarded by data driven business society. Data are facts and statistics collected together for reference and analysis. It can also be measurements, values, words, observations or even descriptions. Data has a lot of use. Companies can use data to gather information on how things work. It can even be used to differentiate things and find their similarities. Data is basically a tool for research purposes. Data became one of the prominent assets of the today’s business industry. From the traditional manual surveys and online surveys up to different types of data gathering methods, big companies are spending millions and millions of dollars just to improve their business through the use of data. Data became such

In the past few decades, research paper writing in the field of finance has gained lot of popularity. This research paper writing has served as a platform for the researchers all around the world to present their studies and findings. The current study investigates the overall structure of research article (RA) introductions written in English by native and non-native authors. In order to be recognized internationally, non-native authors have to report their research finding in English. The importance of this recognition amongst the international audience is well acknowledged all over the world. To be a part of international research publication, the non-native authors are not only compelled to write in English but also they are supposed to meet the basic criteria and conventions attached to the RA writing practices in English for their RA to be successfully published in English. Therefore, a comparative analysis of research article introductions written in English by native and non-native authors in presumed to be important so as to understand the kind of structure followed by the native English researchers which would be helpful for the non-native authors who want their work to be published internationally. In order to accomplish this goal, the current study uses Swales’ (1990) Move structure CARS model as shown in table 1 below