Business Case Analysis at Zydeco
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Added on 2020-03-23
Business Case Analysis at Zydeco
Added on 2020-03-23
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Running head: ZYDECO1Business Case Analysis at ZydecoName:Institutional Affiliations:
Running head: ZYDECO2Introduction to caseBusiness organizations are interested in the development of understanding into their customer features. The business organizations make customer-based analysis to help in understanding the purchasing capability of the customers, the buying behaviors and the buying season. The knowledge about the customers and customer distributions are also important in the development of an understanding of the market structure, the market features, trends and possibilities in the future. Zydeco as a competitive business organization in Australia dealing in the manufacture, distribution, and supplies of the industrial products, must be interested in the features of their customers. One of the major challenges that business organizations normally face is the aspect of the customer data collection (Daft & Lengel, 2006). It has led to the development of extensive and elaborative, sometimes expensive Customer Relationship Management (CRM) models that business organizations purchase. The BI systems in place are used for the modeling of the business data and business patterns that are useful for the overall development of the business strategies and goals. The CRM and the BI software that many business organizations invest in today are used in the development of a better way to understanding the customer requirements in the market. This helps most business organizations to be customer focused and can commit more efforts to the satisfaction of the customer needs. Sound knowledge about the customer preferences, patterns and needs is the first step towards the development of a successful business model (Daft & Lengel, 2006). Many insights into the customer data and requirements allow the businesses to offer both cross-selling and upselling initiatives. Without knowing the insights of the customer features, a business cannot plan for the future. This means that budgeting and forecasting for the
Running head: ZYDECO3business time ahead become very difficult and almost impossible. Therefore, it is of paramount value that the business organization get to understand customer requirements in full. Customers, on the other hand, look into some factors that may influence their decisions topurchase from a business organization or not. Depending on the manner in which an organizationhandles its customers, customers may decide to remain loyal to the business or not (Hansemark, O. C., & Albinsson, 2004). The customer preferences are pivotal data that every business would need to know, as a way of leveraging the products offer in the market. Being customer focused means meeting the customers at their points of need. The customers for an industrial product, however, may not be universal to other business organizations. Zydeco must find information about the core issues that the customers are interested in the variants affecting the products quality and the sales service efficiency.To get the customer data, sometimes feedback models are used to allow the customers to voice their opinions about the business products and their preferences. The data collected are also useful in identifying biostatistics values aspects of the customers including their ages, gender, races, and purchasing power. Understanding the customers in totality are useful ways to ensure that the business can have accurate projections and forecasts into the future (Hansemark, O. C., & Albinsson, 2004). It is therefore useful for to business organizations to design the correct information in the feedback forms, and also find the most appropriate way to administer the feedback questionnaires that would entice the customers to volunteer information that are timely accurate (Jobber & Lancaster, 2006). This is why some organizations are especially dealing in products manufacturing, and sales have rolled out the smart cards that give bonus sale to the customers, thus allowing them to volunteer information to the business for the background analysis.
Running head: ZYDECO4Zydeco business management has managed to collect customer data from 87 customers who are normal and regular purchasers of the products. Among the areas that the business identified in the data collection process include the speed of the customer order delivery. Other elements include the process of the industrial business products in comparison to the other process in the market as well as the customer’s perception of the service delivery by the sales team (Gibbert, Leibold & Probst, 2002). Further, the business also aims to collect information about the image of the company about the other companies in the market, the range of the business products provided by the business model about the other models. Zydeco company management is also interested in understanding the customer contacts and how easy the customers find the process of contacting the company for any other reason. The level of satisfaction to which the Zydeco products achieves in the customers and the level of which the customer would recommend Zydeco to the other prospective customers and the outside market at large. The size of the customer base in reaction to the other industry players and the level of usage that is the number of people using the company products about the other industry players (Gibbert, Leibold & Probst, 2002). Further, the company is also interested in understanding the time the customers have been committed using its products and the original countries of the customers. Each of the variables was categorized on a scale of 1 to 10. The respondents were then given a choice to choose between 1 and ten based on their perceptions about the company products. In each question, the questionnaire will inform the respondent on the direction of the scale. When one is very good, and ten is very bad, the respondents are given time so that they can have fasters and most accurate choices based on their perception of the organization and its products. The analysis of the data takes the same format with graphs, charts, and tables presented
Running head: ZYDECO5based on the customer perceptions of the company and its productions in each case of the variable. The interpretations are also undertaken to improve the understanding of the factors the business is interested and how the factors can be used to make strategic plans for the projects. Introduction To Quantitative MethodsAnalysis of the data begins from the point of inferential analytics. Inferential statistics provides evidential confirmations of the factors that present the depth concepts of the works presented in the study. The inferential analysis is useful in answering the core questions of the study, modeling the hypothesis and helping in structuring the study outcome (Yin, 2013). The inferential statistical analysis that will be used in this case includes the regression analysis, factoranalysis, and ANOVA analysis. They provide useful data that can lead to a high-level interpretation of the work given in the work. Unlike SEM and PLS analysis, the linear regressionanalysis, combined with ANOVA analysis and the fact analysis is useful in analyzing even the lateral variables that may not have a direct way to measure in the analysis. When such lateral factors would still play a significant role in the development of the statistical understanding of the data, it becomes useful to use the linear regression, ANOVA and factor analysis. This would not be possible in SEM and PLS analysis.Inferential Statistical Analysis The business was interested in understanding the source of its customer base. Most of the Zydeco customers in Australia might be coming from overseas, or they may be local. Having such information would be useful for the development of the customer relationship management models and plans. A table like the one below can also be useful for the development of an understanding of the customers’ origins.
Running head: ZYDECO6Origin of CustomerFrequencyPercentValidPercentCumulativePercentValidAustralian2225.325.325.3Asian2528.728.754.0European2731.031.085.1North American1314.914.9100.0Total87100.0100.0From the table, many customers, 27 respondents that represent 31% of the total respondents were Europeans. However, the Asian were closely high in number clocking 25 and representing 28.7% of all the respondents. 22 respondents indicated that they are Australians, a number that represented 25.3%. North Americas were the least in numbers, as there were only 13, representing 14.9%. From the table, a visualized information on a graph can be used to reinforce the data. For instance, the following chart summarizes the respondents’ backgrounds. AustralianAsianEuropeanNorth American05101520253022252713Distributions of the Customers by OriginMaking an inquest study and analysis into the factors that might affect influent the levels of service delivery at zydeco, some statistical analysis would be useful. For instance, the use of
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