DATA201-Data Analytics and Decision Making
This assessment is designed to develop students’ skills in the correct usage of analytical techniques and interpreting data for making managerial decisions. The main task is to analyse business data and to prepare a report for management based on an analysis of the data. The focus is on understanding the use of data analytical tools in a business context and develop written communication skills.
Construct classification tool to effectively assist the buyer in identification of cars likely to be Kicks.
• Experiment different configurations of the decision tree tool in Knime to find the best one you can. (NB. The error rate should be less than 15%).
• It is expected that while exploring this tool, you may need to keep coming back to explore the dataset to find the best set of inputs for your classification problem#.
• When you are happy with your classification tool, create a dashboard in Tableau or Excel to present these inputs and how they affect IsBadBuy (Kicks).
• Be mindful to choose appropriate visuals for your dashboard.
Once successfully creating a classification tool, describe the tool’s functionality with respect to input contributions to the Kick classification.
• Evaluate your classification tool and explain how it may assist the buyer to reduce the Kicks rate.
• Using the data analytic methods you have learnt in the whole semester, explain your analysis, interpretation in the experiment to support decision makers.
Use the reflection proforma included in this document to complete your self-reflection and attach it at the end of your report
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