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Banking Customer Data Analysis

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Articulo Final_Anibal Peralta (507.8Kb)
Date
2014
Author
Peralta Santiago, Anibal D.
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Abstract
This paper focuses on making a Data Mining analysis on customer data from a bank. We try to apply different methodologies and prove some concepts using data. Some of the goals of this analysis is to produce results that my company can use to invent new products that satisfy customers; also to use the findings to help make marketing campaigns for existing products. The beauty about this is that the data, with the help of the applications used, will be the one showing us combined results that are not traditional. We will not be using the same templates and formulas that are generally used in the banking industry; on the contrary, this is a more mathematical (and logical) approach. I hope that these techniques used can align with the organization to improve knowledge management, make advances in business by making the best use of information, enable Data Mining into the business processes (if not already in place), and support with the strategic, tactical, and operational aspects of decision making. Key Terms - Banking Customer, Clustering, Customer Data, Data Mining.
URI
http://hdl.handle.net/20.500.12475/730
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