The following paper under the title 'Marketing of Tespana' is an outstanding example of a business assignment. Tespana is a UK-based medium-sized coffee parking company in London. The company's management is interested in making a new coffee-based product that will serve the customers to the coffee shop. According to Clark (2008), there are several large coffee companies in the UK, and these have sufficiently modified their tastes and preferences for the good of the customers. In essence, companies like Costa, Starbucks, Café Nero, and others have done exceptionally well. Espana also produces a collection of tastes for the highly valued customers given that operating in London is not just like operating in any other place.
Value is vital for progress (Auzair, 2011, p. 41). The company has 56 coffee outlets in major towns in the UK, having been founded in 2005. The launching of the new taste will be a way of marking a ten-year milestone in its operations. In its operation, the company has no intentions of breaking away from its culture of ensuring nothing more than quality service.
The movie dubbed the coffee renaissance, and there will be a need to define a different way of presenting coffee to the customers with a strong base on its cultural casing. Market data collection and analysis will be done to effectively understand the market and subsequently make a successful launch of the new coffee product. Therefore, this research will consist of four tasks; first, primary and secondary data collection will be described that will help in effective decision-making. Secondly, data analysis will be made based on the same understanding gained from the data.
The same data will then be produced in order of the need to satisfy the objectives. The last section will consider the use of software to generate decisions based on the same understanding. According to Witten, Frank, & Hall (2011), data refers to facts and a statistical representation of samples for analysis reasons. The data may be represented in facts, figures, and the overall information as per the required information. Data used may be in the form of primary or secondary.
Ahrens, T., & Chapman, C. (2007). Management accounting as practice. Accounting, Organizations and Society, 113-123.
Aleixandre-Benavent, R., Vidal-Infer, A., & Alonso-Arroyo, A. (2015). Open availability of articles and raw research data in Spanish pediatrics journals. Anales de pediatría (Barcelona, Spain : 2003), 82(1), 213.
Clark, A. (2008, February 25th ). Starbucks takes a coffee break. The Guardian , p. 18.
Dechow, P. M., Sloan, R. G., & Sweeney, A. (1995). Detecting Earnings Management. The Accounting Review, 70(2), 112.
Garrett, S., & James III, R. N. (2013). Financial Ratios and Perceived Household Financial Satisfaction. Journal of Financial Therapy, 4(1), 112.
Horngren, H. O. (2013). Financial Accounting with MyAccountingLab (7th ed.). Sydney, NSW: Pearson Education.
Jonathan, L. (2004). Predicting returns with financial ratios. Journal of financial economics, 74(2), 99.
Lewellen, J. (2004). Predicting returns with financial ratios. Journal of Financial Economics, 74(2), 1121.
Lo, K. (2008). Earnings management and earnings quality. Journal of Accounting and Economics, 211.
Mard, M. (2011). Valuation and accounting. IP Litigator, 17(4), 11.
NCES. (2010). Conducting Secondary Research. Retrieved February 7, 2014, from The National Center for Education Statistics: https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&cad=rja&ved=0CD0QFjAC&url=http%3A%2F%2Fwww.wallacefoundation.org%2Fknowledge-center%2Fafter-school%2Fcollecting-and-using-data%2FDocuments%2FWorkbook-B-Secondary-Research.pdf&ei=JtP0UoHxKYWth
Newsroom, S. (2014, March 21). Starbucks and Howard Schultz Recognized for Leadership. Retrieved September 20, 2014, from Starbucks : http://news.starbucks.com/news/starbucks-and-howard-schultz-recognized-for-leadership
Quick, D., & Choo, K.-K. R. (2013). Digital droplets, Microsoft SkyDrive forensic data remnants. Future Generation Computer Systems, 29(6), 112.
Ryan, B. (2004). Finance and Accounting for Business. London : Cengage Learning EMEA.
USBS. (2013, 11 25). Data Collections. Retrieved 12 4, 2013, from Bureau of Justice Statistics : http://www.bjs.gov/index.cfm?ty=dca
Witten, I. H., Frank, E., & Hall, M. (2011). Data mining: practical machine learning tools and techniques. The Morgan Kaufmann series in data management systems, 36(5), 140.