Business analyst by multinational banking enterprise

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Reference no: EM133773570

Question 

You are employed as a business analyst by a multinational banking enterprise. The bank's Executive Vice President of Marketing and Chief Marketing Officer wants you to do an analysis of the Portuguese bank data to see if the subscription of a new savings product (term deposit) can be predicted. Before any advanced analysis can be done however, you must first examine the raw data in detail, thoroughly describe it, find raw data problems and fix them. Only then will it be possible to do any meaningful analysis. As with any analytic project, the first order of business is to complete an EDA and then report those findings to the executive team. The stakes are high. The projected deposits for the new product may exceed $25 billion within one year. In this assignment you will become familiar with the native KNIME functionality to accomplish the EDA tasks and the construction of two types of predictive models. The calculations in this assignment are to be done only with native KNIME nodes. Using only native KNIME nodes to do the calculations, answer the following questions:

1. How many observations (rows) and how many variables (columns) are there in the raw data?

• Observations

Reference no: EM133773570

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