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Cz Pharmaceutical Factory Co., Ltd. Of Market Sales In Northern Assessment And Prediction Research

Posted on:2007-10-07Degree:MasterType:Thesis
Country:ChinaCandidate:X H XuFull Text:PDF
GTID:2191360185491513Subject:Business Administration
Abstract/Summary:
The speculations on sales and evaluations are the essential and important things in the marketing management research. The factors that influence the sales are different in different marketing areas. First analyze and define the potential sales circumstance of the product and the situation of the marketing of the product, the recycle of the sales volume, the position of the competition and then predicate and study the sales of all kinds of products in this area; define the potential sales ability and the main factors of influencing the products so that distribute the resources according to the different resources; make the sales plan relevantly; find the best way to put the sales plan into practice.The process of marketing forecast and assessment involves collecting and accumulating the relevant data of the past sales figures, customers' information and marketing figures. All the collected information is the results of marketing, also the essential basis of the company's marketing decision.The writer states in the article the sales of the main product A, belonging to CZ Pharmacy Com. Ltd., ,in the market of the north of Jiangsu. In order to bring the data resources receiving from the sales management into the most value of the company, the writer uses spssl4.0 software to do statistics and analysis, and by digging in deeper of these data such as using the analysis of time sequence to predict the sale, and using clustering and doing the analysis of the main component to evaluate the market. Sales volume and financing will be rising in 2006's. At last, that give some advices at the direction of development of marketing administration.
Keywords/Search Tags:sales, market of the north of Jiangsu, evaluations and speculations, time series analysis, cluster analysis, principal component analysis
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