I chose the scenario in Chapter 5, I am attaching the chapter 5 pdf file and the link to the data set.
Link to the data set: https://sites.google.com/site/dataminingforthemasses3e/
Overview
In the final project for this course, you will choose
a scenario from Chapters 5, 8, 9, or 10 in your Data Mining for the Masses
resource and use the scenario and associated data set to create a data
analytics project proposal that addresses an issue or opportunity for the
organization described in the scenario.
In this
assignment, you will demonstrate your mastery of the following course outcomes:
·
Evaluate
various sources of data for their benefits and limitations to common data
analytics initiatives and the resulting implications for data collection and
security
·
Apply common
and repeatable data analytics life cycles to business contexts to predict
solution performance, quality, and security
·
Assess data
analytics tools for their value and applicability to business initiatives,
goals, and available data
·
Determine how
data analytics can be successfully applied to various types and forms of
business data for deriving actionable insights based on analysis of techniques,
tools, and methodologies
·
Communicate
analytics insights effectively through the appropriate application of data
visualization and presentation techniques
The final
project will require you to explore the world of data analytics within business
contexts. You will place yourself in the role of a data analytics professional
to develop a data analytics project proposal. Remember that your goal is not to
solve all of the organization’s problems but instead to recommend a project or
initiative that you feel can provide a benefit to the organization through the
use of analytics.
Your data
analytics project proposal can be submitted in the form of a report or visual
presentation (such as PowerPoint). You will select the delivery method you feel
will work for your audience (in this case, the upper-level management of your
organization) in Module One, and you will integrate the communication,
presentation, and visualization strategies that will best facilitate their
understanding and acceptance of your proposal. Please note your instructor will
need to be able to view your submission, so it is important to gain instructor
approval of your final project delivery method prior to
beginning your project.
The scenario you choose and the
accompanying data set provide the starting point for the business opportunity
for your proposal.
Prompt
Identify a
problem or an opportunity from your choice of four scenarios with accompanying
data sets in Chapters 5, 8, 9, or 10 in your Data Mining for the Masses resource.
Then craft a data analytics project proposal that leverages data analytics,
evaluates the current use of data, and highlights recommended tools with the
ultimate goal of improving business value. Remember your audience as you craft
your proposal.
Specifically,
the following critical elements must be addressed:
I.
Introduction
A. Background: Describe the
context and environment of the organization and analyze how the company is
currently leveraging data analysis and analytics tools to make decisions.
B. Data Sources: Evaluate the
data sources the organization is currently using for their benefits and
limitations in meeting the goals the data is currently being used for. In other
words, is the currently used data appropriate for its current usage? Why or why
not?
C. Data Needs: Analyze the
various sources of data available to the organization or the data the
organization could potentially begin collecting that could add business value.
In other words, what data (existing or potential) could provide a benefit to
the organization you chose to focus on, and how?
D. Data Analytics
Initiative: How can you
exploit data analytics to add business value or uncover new opportunities?
Identify the opportunity for a data analysis initiative that could provide
additional business value to the organization, and explain. (You do not
necessarily have to solve a problem or fill a gap within the organization.
Instead, you could identify a new initiative that improves or adds valuable
insight or information to the organization for decision making.
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?
E. Tool
Applicability to Initiative: Assess the current data analytic tools for their
applicability to your initiative. In other words, how well will the existing
tools and technology in place work with your initiative?
F. Tool
Applicability to Data: Assess the
applicability of the existing tools for the data you have or will have, based
on your analysis of the characteristics of that data. In other words, how
fitting are the existing tools for the data, considering the various forms the
data may take?
G. Tool
Recommendations: This course
covers many analytic tools and technologies, including their benefits and
limitations for various uses and data. Recommend two tools that are not already
used and could reasonably be applied to your initiative. Assess the
applicability and value of these tools as they relate to your available and
planned data and the goals you have established for the initiative.
III.
Conclusion
A. Value: Determine the
value of applying data analytics to this company or business based on your
analysis of the value of the initiative you proposed. In other words, describe
the benefit of using data analytics to meet the goals, needs, or opportunities
of your company, and derive actionable insight.
B. Insights: Communicate
the insights you gained from your analysis of the initiative, the data, and the
data analytic tools and technology you explored with management. How are these
insights potentially beneficial to the company, the industry, and the company’s
future? How are they beneficial to your future as an analytics professional?
IV.
Communication
Your submission will be assessed according to the content, the logic of your
explanations and analysis, and the evidence of your gained knowledge. In the
professional realm, however, the communication of ideas is also important.
Therefore, your submission will also be assessed on the way your ideas are
presented to the audience (in this case, the management of the selected
company). Remember that management may not have the same level of data
knowledge that you do, particularly with the use of specialized language.
A. Visualization: Effectively
communicate your insights and conclusions using appropriate visualizations and
depictions (relevant graphs, charts, etc.) of data possibilities.
B. Presentation: Present your
proposal (either in a report or in presentation format) to ensure your audience
understands the value of your initiative. Remember that a proposal is meant to
be accepted, so you will need to employ language and communication techniques
that are likely to meet your audience’s needs.
