Approach follows the Exec Summary. It is stand alone because I want to understand the parameters of your analysis. I see you as an expert in your industry and company. You may suggest alliances to reduce cost or you may introduce tech innovation or you might choose to  outsource - to arrive at your business decisions. Most of the time approach allows you not to have a yes or no answer. For instance it gives me an opportunity to see why someone made this business decision. The best time to write it is after your paper. "Approach. Provide your intended audience with a solid, but brief, sense of the parameters of your analysis and who else you would consult in refining it further and why. Remember, your goal is to convince readers of the validity of your observations, while recognizing limitations that affect business decisions."

The purpose of this assignment is to perform cluster analysis and analyze clusters in a data set to determine whether or not the information generated can be used to address a specific business problem.For this assignment, you will use the "Wholesale Customers" data set from the Topic Materials. Most data categories are self-explanatory. Clarifying notes are as follows.Fresh: Annual spending (in $1000s) on fresh productsMilk: Annual spending (in $1000s) on milk productsGrocery: Annual spending (in $1000s) on grocery productsFrozen: Annual spending (in $1000s) on frozen productsDetergents_Paper: Annual spending (in $1000s) on detergents and paper productsDelicatessen: Annual spending (in $1000s) on delicatessen productsClient_Type: Type of client – either HoReCa (Hotel/Restaurant/Café) or RetailRegion: Region of client – either Lisbon, Oporto, or OtherA wholesale distributor wants to understand the purchasing profiles of its clients. If a finite set of distinct profiles were defined, then a marketing strategy could be designed specifically for each set of similar clients. The company has compiled a data set that includes annual client spending on diverse product categories. You have been tasked with analyzing the data to determine what patterns emerge and how these patterns can be used to create specific client marketing profiles.Use k-means clustering to explore and analyze the data set by using only the quantitative variables to cluster the clients.Question 1: Explain the process you used to define the clusters such as the number of clusters formed, the specific variables used, etc. Include the "Cluster Sizes" and "Predictor Importance" outputs when submitting the answer.Question 2: Interpret the clusters with respect to the quantitative variables that were used in forming the clusters. Include the "Clusters" output when submitting the answer.Question 3: Discuss whether there is a pattern in the clusters with respect to the qualitative variables (i.e., Client_Type or Region). Include the charts illustrating these patterns when submitting the answer.Question 4: Provide an appropriate name for each cluster using any or all of the variables in the data set.Question 5: Based upon your analysis, what patterns emerged and how can these patterns be used to create specific client marketing profiles? Include discussion of the characteristics for each profile. Present your finding in the form of a 250-word executive summary that includes relevant data, charts, and tables.General Requirements:Submit the answers to Questions 1-4 and the executive summary as Word documents.APA format is not required, but solid academic writing is expected.This assignment uses a grading rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.