For this milestone, submit Sections A–D of the proposal portion of the final project (Part II).
Specifically, the following critical elements must be addressed: II.
Proposal
A. Goals: What are the goals of this initiative? How do they align with
the organizational mission? And how do you plan to measure success? Be
sure to consider the progress and pathway for data analytics projects of
the type you chose to propose.
B. Data Analytics Life Cycle:
Apply the data analytics life cycle to your proposed initiative, and
walk your audience (management) through the life cycle as it applies to
the initiative.
C. Value of Life Cycle: Based on your application
of the life cycle to the initiative, analyze how the life cycle will
help you infer predictability, performance, quality, and security of
your initiative and its results.
D. Data: Evaluate the existing or
desired data for its applicability to your proposed data analytics
initiative. In other words, what are the benefits and limitations of the
current data for the use you have in mind, including potential
collection and security implications?
PLEASE CHECK THE FILE INCLUDED FOR MORE INFORMATION ABOUT THE PAPER
0 comments