Data Analytics Case Study
Added on 2020-04-01
14 Pages3090 Words109 Views
ASSIGNMENT 2 – Data Analytics Case StudyMBA504 DATA ANALYSIS, PROBLEM SOLVING AND DIGITAL OPERATIONS125623JULIANAAUGUSTO VISNADIJUJUVISNADI@GMAIL.COMYour assignment should meet ALL the followingrequirements:(Please confirm by ticking each item before submitting yourassignment)☒Section above has been filled out correctly☒Assignment is in an easy to read, 11 pt font, arial font, with 1.5 spacing☒Assignmentisreferencedproperly (in-text and end-text references)☒Pagesarenumbered☒Declaration below is completed andsigned☒IhavekeptacopyofthisassignmentALL FORMS OF PLAGIARISM AND UNAUTHORISED COLLUSION are regarded as seriousacademicmisconduct by Kaplan Business School and may result in penalties, including failure of the unit andpossibledisciplinary action. If you are in doubt, consult yourLecturer.WORD COUNT: words
125623Juliana Augusto VisnadiContents1. Introduction.....................................................................................................................32. Case study......................................................................................................................33. Research goals..............................................................................................................44. Dashboard analysis of data set...................................................................................45. Weakness.....................................................................................................................106. Improvement opportunities........................................................................................11REFERENCES.................................................................................................................132jujuvisnadi@gmail.com
125623Juliana Augusto Visnadi1. IntroductionThis paper aims to deliver an analysis of a company on how to improve itsoperations and consequently its revenue using theories and tools of DataAnalytics. As part of the assessment of the subject MBA504 Data Analysis,Problem Solving and Digital Operations, it will be start introducing the companychosen to be analysed, an overview of its market and costumer engagementapproach, further, it will be shown possible inefficiencies identified in thecompany’s strategy when using data to engage costumers and, also, it will bemade an attempt to recommend techniques covered in the subject to develop thebusiness.2. Case studyPresenting the company (story and currently situation)SHOWPO – online shop, female clothes, shoes and accessories.Showpo was a result of an entrepreneurship dream which came true forthe founder of the company, Jane Lu. Jane Lu quit her cubicle job and wanted totry her hand in the art of entrepreneurship (Morrison, 2015). Her first venturefailed drastically and a month later she came up with the idea of Showpo. Thecompany was founded from the garage of Jane L’s parent in the year 2010. Shehad started the company with a single laptop and two shelves of clothes whichhas now grown to company who is catering to over 80 countries around the world(Showpo.com, 2017). Showpo now has a social following of over 2.8 million3jujuvisnadi@gmail.com
125623Juliana Augusto Visnadipeople. Jane Lu has won several awards over the years for her contribution to thefield of entrepreneurship. She was determined which helped her to build a highlypassionate and skilled team who share the same belief as her. The companysells women’s clothes shoes and accessories which are in high demand in theworld. Her being a lady helps in understanding the mindset of the other womenaround the world. 3. Research goalsHaving understood the story of Showpo, its target costumers and howcurrently they operate this great success online business, the questions are “IsShowpo maximising the use of the data available?” and “Is it possible to Showpoimprove its costumer experience and increase customers using data analysis?”.Firstly, one of the hypotheses to be considered is that being a youngbusiness, the company is still developing maturity and infra-structure to deal withall the information gathered from current and potential customers that visit thewebsite. Thus, it is supposed that that company still have to keep optimising theusage of the data accumulated in order to anticipate future sales offering productsand deals assertively.4. Dashboard analysis of data setA small dashboard has been created using a data set which stores thefollowing information1.Year4jujuvisnadi@gmail.com
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