Tenhagen_DAT-510_Final_Project_Milestone_2

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Southern New Hampshire University *

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510

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Business

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Feb 20, 2024

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docx

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Ted Tenhagen DAT-510-R5311 Milestone 2: Sections A - D September 17th, 2021
Proposal A.) Goals The main goal that Richard is looking to accomplish through Data Analytics is to increase the number of customers who are purchasing the new eReader that is being released by his employer. While there are a large number of customers who already plan on purchasing the eReader, the real target customers are those who were either late to purchasing the previous eReader or didn’t make the purchase at all. By isolating buying patterns that may have led the previous customers to make the purchase and seeing if there are similar buying patterns in those who didn’t, the marketing department can more accurately make decisions about where to place advertisements or create incentives to purchase the newest eReader. B.) Data Analytics Life Cycle The data analytics life cycle applies to this problem in the following ways (Sharma 2021): 1.) Data Discovery and Information - Reviewing the previous sales data can help to reveal any critical purchasing decisions from the customers that made the purchase of the previous generation of the eReader. 2.) Data Preparation and Processing - The data that was given to Richard by his employer is not as detailed as an analyst would want since the data only shows if the consumer made purchases from certain product categories and what their browsing habits are. If we would be able to obtain the last 20 - 30 purchases made by the consumer, Richard could make a more accurate prediction about which products influence the purchase of the eReader.
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