Big Dat Bringing Big Changes From Accounting By Robert J. Sym

Romney, M., & Steinbart, P. (2012). Accounting information systems. (12th ed., p. 143). Upper Saddle River, NJ: Prentice Hall.

SMW is a wholesaler of specialty micro-brewed beers. SMW purchases bottles and kegs of beer from small microbreweries in the New England area and sells them to local liquor retailers in Boston. SMW’s slogan is “Always in-stock, next day delivery.” Ted Stern, SMW’s owner and CEO, hopes to expand sales to outside of the Boston metro area within one year.

Before reading this book titled Accounting Now by Mark Sasscer, I was merely familiar with a few elements of leadership skills that I obtained from my professional experiences. I recognized that becoming a great leader; one must be confident, communicate effectively, compassionate and be able to solve problems. However after reading this book, I discovered it was essential to have these elements along with other essentials and approach that will improve and reinforce my leadership skills now and in the future. According to Mark Sasscer, there are “Ten principles of Personal Leadership” that a leader can abide in order to be a successful leader. I will describe the ten principles, including my thoughts and the elements that significantly impacted my perception of accountability and leadership.

Data are “raw facts that describe the characteristics of an event or object” (Baltzan 6). Managers used to have to collect data manually along with analyzing it. This was a very time consuming process which could also be complicated in different aspects. If businesses lack data this can cause them to make unethical business decisions. For example, if they don’t have the correct data needed they may order in too many products or not enough causing a surplus or shortage in products/supplies. Being able to collect and analyze data quickly everyday helps make a business make better decision. Data in this day and age is important for a business to obtain so they can make the best possible decisions for their company to be successful. This can help a business know how much to order, how much was sold, and their customer numbers. A company can also see where they are getting most of their customers from when collecting data from surveys. Data allows us to see if a company is doing good or bad and

MC Wells ‘A Revolution in Accounting Thought’. The Accounting Review. V.LI. No.3. July 1976. pp471-82. The article does not have an abstract – write an abstract of no more than 400 words. A short guide to writing an abstract is provided. ----Answered by Wenxin

The increasingly popular terms “big data” and “predictive analytics” have become so widely discussed that, in many ways, they lack a cogent meaning – even within the financial industry. The Capstone team used the literature review as an opportunity to scan the field for defining characteristics, resulting in a suggested guide for how the Federation should articulate these concepts. Generally speaking, big data is about the growing availability of data, as well as the tools needed to analyze the information. Predictive analytics refers to the analysis of big data which can help uncover patterns, correlations and trends that were otherwise unknown to the organization. Predictive analytics is also known as

Real Future Accounting, founded by Michael Kummer April 2014, is a new accounting firm located at 5268 Canal Drive in Kennewick Washington. We are Open Monday thru Friday, 8am-8pm. Our professional accountants are standing by, ready to answer any questions that you may have, or to perform any services that you may require. You may also contact us at +1 (509) 555-2525/5252 or through our web page, www.RealFutureAccounting.com. Our mission statement is to ensure that our clients prosper while receiving professional services. We strive to keep our clients informed on any new advances in technology in regards to their finances, such as new apps, or finance software that they can use from their home computers.

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.

QuickBooks and Sage 50 Accounting are both great options for small business accounting. These programs help manage business finances which can drastically save time that may have been spent creating Excel spreadsheets and more. However, while both programs are sufficient for small businesses, the programs differ based on what they can offer your company.

The journal is about the factor that inflecting students get in the accounting major. In the journal they did a survey to find out what makes those students choosing accounting as their major. This journal provides me the idea of how many accounting graduates are needed and how it affects the major to be impacted due to the high percentage of students who are interested in the major. There are 64% of students said that they choose it because of their high school accounting class or their first accounting class in college brought them interest, 24% is they love math and the other 12 % is because their family members are accounting major. The survey next attempted to determine the impact of students' first college financial accounting course

The problem is deciding which of the two companies to invest money in their stock. With so many different stocks to choose from, there is a need to get the most out of investments these days. In order to come up with this decision, research is pertinent. Extensive research must be done by looking at both companies’ financial information in the form of statement analysis, ratio analysis, financial leverage, and comparative analysis, along with a SWOT analysis of both companies and comparing their strategies. The problem is having two very similar companies to choose from, and deciding which is going to be worth investing in the short and long term.

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.

A selection of articles that appeared in Big Data = Big Gains, a special digital publication by Bank Systems & Technology

This is the reason why today professionals have actually struggled to stay ahead of the cluster of data curve. In the beginning of electronic communication, auditors were no doubt playing the catch-up method as the volume of data generated by clients was increasing so that they can easily monitor it properly. But on the same side the big data has given the audit professionals an opportunity in order to mine this deluge of loaded information to easily generate maximum effect. This is the reason why majority of the research analysts highlighted that big data along with the technology is one of the bigger impact on auditing as compare to any other thing or issue. Whereas others report that big data related technology is known as the actual revolutionary for the audit profession and this is why majority of the companies is today working with technology and big data in order to change the nature of the auditing process.

Another challenge is ensuring that the auditors are adequately trained to handle the Big Data information during an audit. As discussed previously in this report, the supply of Big Data is much too large for regular employees to handle. Auditors now need to be trained to handle Big Data during an audit. This includes adding Big Data components to education curriculums in accounting and auditing (Griffin & Wright, 2015, p. 378). Auditors—both current and future professionals—will need to evolve and gain the skills and experience necessary to respond to the changes enacted in the auditing process with Big Data (Fisher, 2015).