Data Design Part 2 Introduction Introduction
Added on 2021-01-02
29 Pages5157 Words278 Views
Data Science and Big Data
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DATA DESIGN PART 2
Table of ContentsINTRODUCTION...........................................................................................................................1QUESTION 1...................................................................................................................................1Phrasing business objective for targeting and assessing study...................................................1QUESTION 2...................................................................................................................................3Describing two datasets and describe how data set is being collected and bringing shortpreview of the data. Specify and tool used, sample population and biases to be aware of.........3QUESTION 3...................................................................................................................................8Describing the integration points and what cannot be concluded using exploratory research...8QUESTION 4...................................................................................................................................9Describing relevant exploratory research design in view of not using experiment design.Identifying problem which can be resolved and summarising results of graphs and criticallyevaluating report..........................................................................................................................9QUESTION 5.................................................................................................................................12Considering deployment, ethical and business conclusion of the project.................................12CONCLUSION..............................................................................................................................13REFERENCES..............................................................................................................................15
INTRODUCTIONData handling is activity in which various ways of data analysis is done and it helps indecision-making. Maintaining the quality of business operations and customer services isimportant for a proper management of the business operations which will help in increasingsustainability of the firm. All these factors plays a very crucial role in the achievement ofcustomer satisfaction level. Besides this, it will help in gaining a good profitability. The currentresearch assessment involve the Gant Stores in Helsinki Area. They are the apparel brand,operating all around the world.This research assessment will include the evaluation of various data sets and effectiveresearch activity will be conducted that will help in proper increment of knowledge regarding thequality of customer services, offers and selections and increasing the customer satisfaction levelto enhance functionality of selected clothing enterprise.QUESTION 1Phrasing business objective for targeting and assessing studyThe business objective can be framed which is listed below-“To analyse and improve the quality of customer service, offered selections for attainingcustomer satisfaction- A study on Gant Stores in Helsinki Area”QuestionWhat are the factors that lead to customer's satisfaction in Gant Stores?The type of research being conducted in the study was quantitative research. It is crucialin order to gather numerical data, facts and figures so that desired research can be conducted in abetter manner. With regards to this, information was collected by offering questionnaire topeople visiting stores. The survey was being conducted in order to find out general opinion of thecustomers about the company. The survey was taken from three localities such as Kamppi, Selloand Kämp Gallery in the best manner possible.The implications on the type of question such as how to improve customer services sothat desired satisfaction level may be attained (CUSTOMER SATISFACTION IN THE RETAILMARKET, 2009). This will have implication as customers will demand for higher quality of1
goods which will be required to fulfil by company so that desired outcome can be accomplishedin a better manner. Furthermore, implication will be to satisfy customers, listening to theirfeedback and improve quality of goods and services. In today's competitive environment, higherunderstanding of customer's demands, desires are required so that they may be satisfied in thebest manner possible. The implication in the future will be that consumers will be demanding asthey will access to greater variety of commodities and services.Data requirements - The unit of analysis from the data set is individuals, groups are assessed from thecustomers provided in the research study being conducted. It is required that opinions ofconsumers are analysed so that customer's satisfaction may be provided by improving uponservices in the best way possible. Unit of analysis means about 'whom', study is being conductedto take opinions for improving upon services (Marczyk, DeMatteo and Festinger, 2017). Theimplications in quantitative technique of data are that it is quite reliable technique for assessinghow the facts and figures can be integrated in order to form opinion quite effectually. Anotherimplication is that facts regarding customer's satisfaction can be gathered in a better manner andas a result, conclusion can be drawn from the research by taking into account the study. The riskassessments can be outlined below-Applicability-The quantitative method is applicable for identifying opinion regarding the research topicin the best manner possible. It can be identified that customer's satisfaction of Gant stores inHelsinki area can be assessed from choice of their selections, regarding sales of firm andpurchasing power of consumers which will have good approach of applying research type andderive results with ease. By gathering such facts and opinions of people, quantitative researchmethod can be applied which will have better results about study. However, applicability of datatechnique imposes several restriction and does not provide value and desires of customers andperceptions.Availability of resources-The availability of various resources are required for conducting research in effectualmanner. It includes human, technical considerations, using secondary resources such as books,2
journals, articles available from internet and related reliable resources (Morse, 2016). Thereprevails risk regarding the availability of resources which will have impact on overall quality ofresearch up to a high extent. Timely availability of such resources are needed so that researchcan be conducted in a better manner by taking into consideration all resources quite effectually.Ethics-Ethical considerations are required so that desired data can be taken and that also withprior permission from respondents. The respondents included in research are customers of thestores from whom permission would have been taken for using their viewpoints in the researchso that research can be completed in due time. However, if confidentiality of data is not applied,then people would not respond to questions and as a result, there would be inefficient results.It can be analysed that there are two types of variables such as dependent andindependent variables. Dependent variables are those whose value depends on another to extractvalue in effectual manner. On the other hand, independent variables are opposite of dependentvariables and do not depend on another one (Brannen, 2017). The business variables aresignificant in assessing value in effective manner. With the help of these variables, it can beanalysed that customer's satisfaction is dependent variable on quality of goods and servicesprovided by company in effectual way. This means that business objective is to target uponservices provided by organisation to customers so that satisfaction level can be accomplishedwith the help of improvement of commodities and services quality by Gant stores.QUESTION 2Describing two datasets and describe how data set is being collected and bringing short previewof the data. Specify and tool used, sample population and biases to be aware of.Data Set 1 (Primary data)The data set can be evaluated from the research study conducted on customer'ssatisfaction which was answered by customers on the basis of questionnaire handled to them inHelsinki area. It was handed to Gant store in Sello, Espoo, Gant Sore Kamppi and Gant StoreKämp Gallery. The respondents were 72 customers who answered the survey. Division betweenrespondents of stores location was not equal. Kamppi and Sello were location in whichrespondents were more, 14 % of answers were being attained from Kämp Gallery.3
The age of respondents were being evaluated and it was expected that largest age groupswere between 31-40 and 41-50. It was significant for getting this information when buyingcollections. These age groups were quality conscious and as a result, they can also afford to buythe expensive commodities (Vaioleti, 2016). In addition to this, age group of 20-30 aresignificant group of customers and they like to spend money and interested in modern fashion.The above graph shows that Kamppi has the biggest customer's base and good flow ofthem. It is quite interesting to assess that Sello have 26 % of stores where consumer purchasesgoods. On the other hand, Kämp Gallery has 25 % of stores making purchase by customers.Major one among the following locations, Kamppi were 39 % and remaining 10 % is dedicatedto other stores.Store4
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