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MIS771 Descriptive Analytics and Visualisation

Added on - 23 Feb 2020

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Running Head: DESCRIPTIVE ANALYTICS AND VISUALISATIONMIS771Descriptive Analytics and VisualisationName of the StudentName of the UniversityAuthor Note
1DESCRIPTIVE ANALYTICS AND VISUALISATIONTable of Contents1.0 Introduction................................................................................................................................22.0 Description of the Data..............................................................................................................23.0 Data Analysis.............................................................................................................................33.1 Dependent Variable Analysis................................................................................................33.2 Variables Influencing Repurchase.........................................................................................53.2.1 Identification of Variables..............................................................................................53.2.2 Prediction with the Identified Variables.........................................................................63.2.3 Separate Analysis............................................................................................................63.2 Recommending Furphy.........................................................................................................73.3 Time Series Analysis.............................................................................................................84.0 Conclusion and Recommendations............................................................................................9REFERENCES..............................................................................................................................10APPENDICES...............................................................................................................................11
2DESCRIPTIVE ANALYTICS AND VISUALISATION1.0 IntroductionAn Australia born micro – Brewery Company named Furphy Beer has an experience ofless than fifteen years in the brewing ale. The company has limited sales in Melbourne andreginal Victoria but is fast expanding in the rest of the parts of Australia in terms of itsproduction and sales. This growth has been quite significant in the previous two years. Thecompany has met its increasing demand in its pale ale beer by increasing its brewing capacity to3 million litres per year. Their products are usually sold in pubs, bars, restaurants andbottleshops. The products are sold either directly or by a sales representative.Though they have been successful in these operations and have experienced a goodamount of financial turnovers over the years, they want to change the business to a new directionin the upcoming five years. This decision was made because of the increasing popularity of thebrand. Thus, the management now is in need of a good relationship with its customers. They arealso planning to forecast their production of beer in the next four quarters. With the help of this,the company will be able to understand their future demand and supply. Thus, they can plan theirneeds of production accordingly. To do this analysis, the company has asked a market researchcompany named BEAUTIFUL DATA. The main aim of the company is to analyze the sales ofthe brewery company Furphy, understand the customers’ characteristics and their conditions forgoing for a repurchase and to predict the future sales for the next four quarters. The analysis willbe done using the appropriate statistical techniques.2.0 Description of the DataTo analyze the situation and conditions described in the previous section, the companyhas made contact with another market research company named Beautiful-Data. This market
3DESCRIPTIVE ANALYTICS AND VISUALISATIONresearch company in order to conduct the analysis has collected data from the clients of Furphy.The clients to fill up an online survey form. 200 valid responses were considered from all theresponses received for the analysis. The dataset consist of 9 characteristics of the perceptions ofthe customers. The perceptions of the customers were recorded in a scale of 0-10. Othervariables include the information on purchase outcomes and business relationships. Furphy’sdata warehousing provided the market research company with another type of data. This dataincludes information of the quarterly beer production. The analysis will be done using thestatistical software MS Excel.3.0 Data Analysis3.1 Dependent Variable AnalysisThe two dependent variables considered in this case are the “customers’ intentions torepurchase products from Furphy” and “whether a client would recommend Furphy to others”.From the analysis it is clear that most of the clients of the company have given ratings between 7and 8. Most of the clients have given high ratings to the product. Thus, it can be said that most ofthe people go for repurchasing the product. Figure 3.1 shows the distribution of opinions of theclients for repurchasing intensions of the clients.
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