Data science and big data analysis

Three separate documents are required for this assignment:

Submit:

(1) 300 word Executive Overview 

(2) Individual Presentation (in PowerPoint format) 

(3) Speaker’s notes in APA format with citations and references 

Individual Presentation in PowerPoint format

• Minimum Slides = 25 (Include title page, references, and slides that address each of the required areas)
• Minimum References = 5
• APA Formatting

PART ONE:

Summarize the generic components of an analytics plan that includes (a) discovery/business problem framed, (b) initial hypotheses, (c) data and scope, (d) model planning and analytic technique, (e) result and key findings, and (e) business impact 

PART TWO:

Create a proposed approach to an analytics plan specific to the given scenario.

• Include each area of an analytics plan but make it specific to the given scenario
• Include a proposed analytical method (and reasons for your choice)
• Enhance your work with a visualization

Note:

• You do not have to provide actual analytics (just a proposed analytical approach)
• You do not have to provide a solution (just a proposed analytical approach to finding a solution)
• Where specific information is missing from the scenario, improvise and list an assumption

Project Summary:

Yore Blends (YB) is a fictional online company dedicated to selling subscription-based traditional spice blends coupled with additional complementary products such as gifts, kitchen utensils, and eco-friendly storage options.

In the long term, they aspire to growing through mergers and acquisitions which requires a strong customer base and steady revenue. In the short turn, they are concerned about customer churn (the percentage of customers that have stopped buying their products and services).

Issue: Customers seem to stop ordering products and/or using the service after several months.

Business Believes: By targeting customers who are at risk for churn customer attrition can be reduced by 16%

Data scope: Customer account data for previous 24 months