Elements of The Overall Data Analytics Lifecycle
Order ID:89JHGSJE83839 Style:APA/MLA/Harvard/Chicago Pages:5-10 Instructions:
Elements of The Overall Data Analytics Lifecycle
The purpose of the assignment is to assess your knowledge of the application of elements of the overall data analytics lifecycle.
Requirements:
Paper formatted according to APA requirements
Minimum word count = 1500
Minimum references = 3
Specifics:
- 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
- Apply the general components to the specific scenario (below) for Course4Uall. Where information is missing from the project scenario such as analytic technique and specific business recommendations, make a logical and supportable choice relative to the scenario.
- Discuss the specific analytics plan that would be used in a final presentation aimed at an executive sponsor. Discuss what difference in components would apply to a presentation aimed at a technical analytical team. Include mention of visualization and model details.
Project Summary:
Course4Uall is a fictional online learning company dedicated to teaching entrepreneurs about creating start-up companies through a series of ongoing educational and mentoring sessions. In the long term, they aspire to growing through mergers and acquisitions which requires a strong customer base and steady revenue. In the short term they are concerned about customer churn (the percentage of customers that stopped using their products and services).
Data Scope: Customer account data for previous 18 months
Results: Customers who do not actively engage in and complete more than 2 sessions, stop using the company altogether.
Impact: By targeting customers who are at risk for churn, customer attrition can be reduced by 15%.