Business analytics Plan based on the CRISP-DM framework using SAS Studio
Business analytics Plan based on the CRISP-DM framework using SAS Studio Using the dataset, first, you should propose a business analytics plan based on the CRISP-DM framework and identify and complete the appropriate tasks for each of the six CRISP-DM phases.
Describe the business opportunities that the data present and formulate relevant business questions.
Explore the data set with descriptive analytics tools and provide relevant information. Examine the possibility of analytical techniques and identify possible variables for further analysis. Keep in mind the business opportunities and questions formulated in the first phase. The following criteria may also be considered as a guide.
- Does a target variable exist?
- Does the data set contain historical values of the target variables?
- Does the data set have a sufficient number of observations to support data partitioning that may be required to answer the business question(s)?
Determine and perform the necessary data wrangling and preparation tasks based on the decision made during the business and data understanding phases. Explain the rationale for these tasks and document the changes that you have made to the data set.
Consider the strengths and weaknesses of different modeling techniques. Implement the appropriate techniques, explain the rationale for your selection, and present relevant analysis results and interpretation. For the supervised techniques, determine whether to use classification or prediction models and explain your decision. Identify the best model(s).
Refocus on the business objectives of the project. Review the steps executed to construct the model to ensure no key business issues were overlooked. Evaluate whether the models have properly achieved the business objectives outlined during the business understanding phase. Formulate actionable recommendations based on the findings.
Communicate the findings and relevant business insights with a written report and oral presentation that incorporate appropriate statistical information and visuals. The main focus should be placed on providing actionable business recommendations for a managerial and non-technical audience.
It’s a research paper and it should contain the following details
- An introduction, brief literature review/industry analysis/history of the organization, problem statement/hypothesis, methods/analysis section, results, and discussion.
- The paper should be free from grammatical errors. it should be at least seven-pages of content.
- The paper will be checked for plagiarism.
should contain the following criteria
- Business Understanding / Analytics Question(s): Clear, concise, specific question(s) posed, supported by appropriate discussion. Full description of the problem or area of interest, data set, and the plan of analysis is effectively explained
- EDA/ Data Understanding & Data Preparation: Practical exploratory data analysis was conducted and results were provided. Results concisely explained/ summarized. All conditions are checked correctly for any inference procedures.
- Methods / Modeling: Statistical methods were fully and correctly applied. Clear explanation of why variables were selected. Includes appropriate, well-labeled, accurate results of the analysis.
- Evaluation / Discussion: Results and discussion are well focused on the business questions and included all important points. The conclusion includes a clear answer to the analytics question that is consistent with the data analysis, including sales revenue projections. Justifies key results and procedures, explains assumptions and reasons and potential limitations.
- Organization: The ideas are arranged logically to support the thesis. They flow smoothly from one to another and are clearly linked to each other. The reader can follow the line of reasoning
- Tone/Writing Style: The tone is professional appropriate for the audience and for the purpose
- Presentation Organization: Information presented in a logical and very interesting sequence
- Presentation Design: All multimedia elements work well together and demonstrate excellent synthesis
- Presentation Content: Covers the topic completely and in-depth with a variety of resources. Encourages viewers to know more
- Presentation Graphics and Sound: Graphics explain and reinforce the message of the presentation. Excellent use of sound or music to reinforce the message