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Essay Available:
Pages:
3 pages/≈825 words
Sources:
2 Sources
Style:
MLA
Subject:
Business & Marketing
Type:
Coursework
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 15.55
Topic:

Starbucks’ Data Analysis

Coursework Instructions:

Data Analysis Exercise
This exercise is designed to create the opportunity for every student to work through the managerial research design process.
Student can select any topic of interest and perform the following analysis.
□ Select a research question on which to work.
□ Refine the research question into hypotheses.
□ Identify data requirements to test the hypotheses.
Identify (or design a survey) and collect the required data.
□ Perform analysis on the data.
□ Interpret and communicate results.
Guidelines for the project presentations will be discussed in class.
Projects must be handed in before the deadline.
Each page of the project must be identifiable by page number.
Projects must be handed in on standard paper, one sided copy.
Copies will be made in black and white.

Coursework Sample Content Preview:
Student’s Name
Tutor’s Name
Course
Date
Starbucks’ Data Analysis
In the modern age, Data Science and Analytics are driving organizations' strategic planning. Organizations widely use technological advancements to get insights into various aspects of their business (Saura). In this paper, Starbucks provides data that the researcher will use to analyze the behavior of its customers over the years regarding various offers to determine their effectiveness in the future.
Research Question
As the business environment continues to evolve, organizations are tracking their customers using various methods to monitor them on individual levels. They monitor customer purchase behavior using mobile applications due to technological advancements (Razaghpanah et al.). Starbucks has an app that allows its customers to order coffee and other products. Every week, Starbucks sends out offers to their mobile app users. The offers are either advertisements of drinks or actual offers such as discounts or buy one get one free (BOGO). However, some users may not receive offers during certain days or weeks. The company sends different offers to various customers. Thus, not all users receive the same offer, which is the problem this project aims to solve.
The objective of this data analysis project on Starbucks is to combine transactions, demographic, and offers to establish which group of customers responds best to which type of offer. Customers have different tastes and preferences, and factors such as age and income that determine their purchase decisions. As it is nature offers, they have an expiry period when they are no longer available. For instance, a BOGO offer can be available for one week. All offers have a validity period regardless of their function. For instance, an informational offer available for five days will influence the customer for the five days it exists. Therefore, this task is to establish the effectiveness of Starbucks' offers by analyzing customer profiles to recommend offers to customers.
Data Requirements
In providing a detailed analysis of the data, the project will access transactional data that shows user purchases through the mobile app. The data will include the purchase time and the amount spent on the order. The data contains information about the offer received by the user and the time the purchaser viewed it. In addition, transactional data contains information about when the offer was complete.
Overview of the Data
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