Effective direct marketing promotions

Your organization is striving to increase sales while maximizing profits through more effective direct marketing promotions. Ultimately the organization is looking to identify those customers who respond to marketing promotions. In addition the organization wants to gain insights into how they can better predict future business growth. Your task is to analyze the data from the Clothing_Store.csv dataset (found in the Module folder or by clicking “Next” at the bottom of this page). You are provided links to the dataset and to a document describing the variables in the dataset. Your analysis should include the necessary descriptive analytics tests to communicate your understanding of what story the data is telling us. Also your analysis should include the necessary predictive analytics tests to assist decision makers in achieving their business goals. Your deliverables for this Portfolio Project are: Limit the charts graphs and tables in your analysis report to only those figures needed to support your findings and analysis. Do not include statistics outputs that are not relevant to your analysis. Your analysis report should be comprehensive yet concise specific and most importantly insightful. In previous Portfolio Milestone assignments you submitted business questions hypotheses and a preliminary list of descriptive and predictive statistics tests. You are expected to incorporate your instructors feedback into this final submission.

Requirements: 8

Business questions Hypotheses Descriptive statistics to include charts graphs and tables and analysis of your findings Predictive statistics to include charts graphs and tables and analysis of your findings Analysis of findings with respect to business questions and hypotheses Recommendations for further analysis: what other data sources including big data sources could the organization utilize to help them achieve their business goals. Business questionsHypothesesDescriptive statistics to include charts graphs and tables and analysis of your findingsPredictive statistics to include charts graphs and tables and analysis of your findingsAnalysis of findings with respect to business questions and hypothesesRecommendations for further analysis: what other data sources including big data sources could the organization utilize to help them achieve their business goals.

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