Descriptive Analytics & Visualization Assignment

Added on - 26 Nov 2019

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Running Head: DESCRIPTIVE ANALYTICS AND VISUALIZATIONMIS771Descriptive Analytics and VisualizationName of the StudentName of the UniversityAuthor Note
1DESCRIPTIVE ANALYTICS AND VISUALIZATIONTable of Contents1. Introduction..................................................................................................................................22. Collection of Data........................................................................................................................33. Description of the Data................................................................................................................34. Analysis of the Data.....................................................................................................................34.1 Dependent Variable Analysis................................................................................................34.2 Factors Influencing Repurchasing Intention..........................................................................54.2.1 Variable Identification....................................................................................................54.2.2 Prediction of Repurchasing Intention.............................................................................74.2.3 Different Analysis...........................................................................................................84.3 Furphy Recommendation.......................................................................................................94.4 Analysis based on Time Series............................................................................................115. Recommendations and Conclusion............................................................................................11REFERENCES..............................................................................................................................13APPENDICES...............................................................................................................................14
2DESCRIPTIVE ANALYTICS AND VISUALIZATION1. IntroductionFurphy Beer is a micro-brewery organization which started in Australia. The organizationis a new organization with under 15 years of involvement in the brewing ale. The production andsales of the organization is restricted in the city of Melbourne and reginal Victoria. The sales andproduction is expanding quickly in the various parts of Australia. Over the most recent two yearscritical development in the sales and production have been taken note. The demand of theorganization has been expanding such a great amount of that in the year 2016 they chose to buildthe creation to 3 million liters for each year keeping in mind the end goal to adapt up to theexpanding interest of the item.There are two market segments,which purchase the Furphy pale ale. One is pubs, barsand restaurants and the other is bottleshops. The ale created by Furphy are sold in these twomarkets either specifically or with the assistance of sales agents.The organization has encountered gigantic accomplishment in their operations and moneyrelated turnovers in the past two years. At that point additionally, the organization can detect anadjustment in the business atmosphere in the up and coming five years. This can be the result ofthe high popularity of craft beer and microbrewery culture in Victoria and its encompassinglocales. In this manner, with the expansion in the opposition, the organization has felt the need ofbuilding a solid association with the clients. Accordingly, to comprehend and recognize thecomponents that are dependable to fabricate a solid client relationship the organization hasdelegated a statistical surveying organization named Beautiful Data. The have been made arequest to lead a vast scale study of the customers of the organization to have a reasonablecomprehension of the customers attributes and their repurchasing expectations.
3DESCRIPTIVE ANALYTICS AND VISUALIZATION2. Collection of DataTo meet the criteria provided by Furphy, the market research company Beautiful Datamade contacts with Furphy’s clients and asked them to fill up an online survey. The surveyquestionnaire contained various factors necessary for the calculation. The data on the past yearssales in the four quarters per year have been collected from the information stored and compiledthrough Furphy’sdatamart.3. Description of the DataThe data collected from 200 clients of the company has 9 different perceptions of thecustomers or clients. These perceptions have been recorded in a scale of 1 – 10. Other variablesgive qualitative information about the outcomes of the purchases by the clients and their businessrelationship with the respective clients. The analysis has been done using the MS Excel software.4. Analysis of the Data4.1 Dependent Variable AnalysisThe dependent variables that has to be analyzed and predicted with the data collected areintention of the customers in repurchasing Furphy’s products and recommending the products ofthe company Furphy to others. The test results show that most of the ratings are between 7 and 8.Thus, the product from the customers has received high ratings. Hence, the product isrepurchased by the clients. The clients have a high probability of repurchasing the product. Table1 gives the repurchasing intentions of the clients. This is shown diagrammatically in figure 1.
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