II.

Proposal

A.

Goals

:

What are the goals of this initiative

? H

ow do they align with the organization

al missio

n? A

nd 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

C

ycle:

Apply the data analytics life

cycle to your proposed initiative

,

and walk your aud

ience (management) through the life

cycle as it applies to the initiative.

C.

Value of life C

ycle

:

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

limitatio

ns 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

characteristi

cs 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 yo

ur initiative. A

ssess 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