Comment this post (DL) W3-T1 Pricewaterhouse Coopers is one of the Big 4 accounting firms and they are fully embraced in data analytics and innovative technology.  “We deploy the transformative capabilities of data and analytics from strategy and design through to execution and technology enablement” (PricewaterhouseCoopers, 2019, para 2).  They support their clients with both technology and data analysis. PWC educates their customers in what their data analysis means for their business and how to best interpret the results.  “We put leading-edge data and analytics to work solving our clients’ most critical issues, so they can focus on defining their future – faster” (PricewaterhouseCoopers, 2019, para 2).  PWC is continuously moving forward with data analysis and any innovations that will further benefit their clients’ decision-making. Much the same as PWC, Ernst & Young are also one of the Big 4 and offer data analytics services for their clients.  They have taken their technology integration a step further with the use of artificial intelligence, “Infusion means that by embedding analytics and artificial intelligence (AI) into the very core of your business processes, we can help you drive capital allocation strategies and investment decisions, create an end-to-end digital audit, generate new revenue opportunities, manage risk, conduct investigations, measure financial and nonfinancial performance, capture tax big data to inform decisions, increase customer satisfaction, and improve the customer experience” (Ernst & Young, n.d., para 2).  It is evident that E&Y is there for their clients in all ways that data analytics and innovative technology allow them to be.  They too continue to seek new ways to benefit their clients and their use of data. New technology appears to be the bridge necessary to close the gap between big data and it analytics.  Acquiring the data is only part of the process, while “The ability to analyze meaningful and relevant data and convert data to information, knowledge, and ultimately action in time to favorably influence an organization is a key competitive differentiator” (Bumblauskas, Nold, Bumblauskas, & Igou, 2017, p. 703).  The current use of technology in data analytics is still suffering some barriers with knowledgeable professionals, training and education.  Moving forward, these barriers should steadily disappear as data analytics further integrates with the technology and it becomes a regular occurrence in the business structure. Comment this post (DL) W3-T2 (AM) All organizations disregarding their size needs meaningful data and insights specially when the organization needs to understand their target market and customer needs, it even play a crucial role in anticipating their preferences.  For organizations big data provide a picture that helps understand trends, patterns and preferences from a large database produce when people interact with them and each other (simplilearn.com).      Based on the vid ...

1. Comment this post (DL) W3-T1
Pricewaterhouse Coopers is one of the Big 4 accounting firms
and they are fully embraced in data analytics and innovative
technology. “We deploy the transformative capabilities of data
and analytics from strategy and design through to execution and
technology enablement” (PricewaterhouseCoopers, 2019, para
2). They support their clients with both technology and data
analysis.
PWC educates their customers in what their data analysis means
for their business and how to best interpret the results. “We put
leading-edge data and analytics to work solving our clients’
most critical issues, so they can focus on defining their future –
faster” (PricewaterhouseCoopers, 2019, para 2). PWC is
continuously moving forward with data analysis and any
innovations that will further benefit their clients’ decision-
making.
Much the same as PWC, Ernst & Young are also one of the Big
4 and offer data analytics services for their clients. They have
taken their technology integration a step further with the use of
artificial intelligence, “Infusion means that by embedding
analytics and artificial intelligence (AI) into the very core of
your business processes, we can help you drive capital
allocation strategies and investment decisions, create an end-to-
end digital audit, generate new revenue opportunities, manage
risk, conduct investigations, measure financial and nonfinancial
performance, capture tax big data to inform decisions, increase
customer satisfaction, and improve the customer experience”
(Ernst & Young, n.d., para 2). It is evident that E&Y is there
for their clients in all ways that data analytics and innovative
technology allow them to be. They too continue to seek new
ways to benefit their clients and their use of data.
New technology appears to be the bridge necessary to close the
gap between big data and it analytics. Acquiring the data is
only part of the process, while “The ability to analyze

2. meaningful and relevant data and convert data to information,
knowledge, and ultimately action in time to favorably influence
an organization is a key competitive differentiator”
(Bumblauskas, Nold, Bumblauskas, & Igou, 2017, p. 703). The
current use of technology in data analytics is still suffering
some barriers with knowledgeable professionals, training and
education. Moving forward, these barriers should steadily
disappear as data analytics further integrates with the
technology and it becomes a regular occurrence in the business
structure.
Comment this post (DL) W3-T2 (AM)
All organizations disregarding their size needs meaningful data
and insights specially when the organization needs to
understand their target market and customer needs, it even play
a crucial role in anticipating their preferences. For
organizations big data provide a picture that helps understand
trends, patterns and preferences from a large database produce
when people interact with them and each other
(simplilearn.com).
Based on the video "Using Big Data to Help Retailers
Improve Their Business" states that big data is an organization
biggest asset and challenge since it is key to understand and
engage their consumer in a different way. It allow to plan
efficiently and effectively their strategy to optimize their
organization at the store level and globally in their supply chain
management through increased visibility and flexibility,
Reliable Software, n.d.).
Todays consumer knows more about the organization as the
organization knows more about their consumers, without a
proper data analytics the organization can be missing on
unidentified values and can't also properly connect with their
customers by not offering the products that their customers
really needs. Big Data can certainly hep with
identifying acquisition patterns, collaborative filtering,
customer specific scorecards, current store sales modeling and

3. optimizing their sale price scheme.
As the video states, having the ability to figure out what the
customer is going to do and beyond and for how much is a
powerful tool that provide a competitive edge.
Section III] Research Methodology
Poor (Below Standards) Receives less than 80% of full points
Good (Meets Standards) Receives 80 to 95% of full points
Excellent (Exceeds Standards) Receives 96% or above of full
points
Research Design Plan
8 points
Did not adequately identify the study design. Did not clearly
address the intervention and the procedures of the participant
assignment and the intervention.
9.5 points
Identified the study design. Generally addressed the
intervention and the procedures of the participant assignment
and the intervention.
10 points
Specifically identified the study design and provided its
rationales. Clearly addressed the intervention and the
procedures of the participant assignment and the intervention.
/ 10
This table lists criteria and criteria group name in the first
column. The first row lists level names and includes scores if
the rubric uses a numeric scoring method.[Section III] Research
Methodology
Poor (Below Standards) Receives less than 80% of full points
Good (Meets Standards) Receives 80 to 95% of full points
Excellent (Exceeds Standards) Receives 96% or above of full
points
Sampling Plan
8 points

4. Did not adequately identify the study participants and the
sample size. Did not provide the description of the selected
sampling method and techniques.
9.5 points
Identified the study participants and the sample size, attempting
to describe the criteria for inclusion and exclusion of the sample
without clear justification. Provided the description of the
selected sampling method and techniques without their strong
rationales for the selections.
10 points
Specifically identified the study participants and the sample
size, elaborating the criteria for inclusion and exclusion of the
sample and their justifications. Provided the detailed
description of the selected sampling method and techniques
along with their strong rationales for the selections.
/ 10
This table lists criteria and criteria group name in the first
column. The first row lists level names and includes scores if
the rubric uses a numeric scoring method.[Section III] Research
Methodology
Poor (Below Standards) Receives less than 80% of full points
Good (Meets Standards) Receives 80 to 95% of full points
Excellent (Exceeds Standards) Receives 96% or above of full
points
Data Collection Plan
8 points
Did not appropriately identify data collection method and the
data collection setting. Inadequately described the data to
collect, measures to use, and the collection procedure
9.5 points
Identified data collection method and the data collection setting.
Described the data to collect, measures to use, and the
collection procedure in brief.
10 points
Appropriately identified data collection method and the data
collection setting. Described the data to collect, measures to

5. use, and the collection procedure in detail
/ 10
This table lists criteria and criteria group name in the first
column. The first row lists level names and includes scores if
the rubric uses a numeric scoring method.[Section III] Research
Ethics
Poor (Below Standards) Receives less than 80% of full points
Good (Meets Standards) Receives 80 to 95% of full points
Excellent (Exceeds Standards) Receives 96% or above of full
points
Participant Protection Plan
24 points
Did not adequately discuss the potential ethics associated with
the study and the participant protection plan, including
administration of informed consent, protection of privacy and
confidentiality, and evaluation of the potential of risk and harm
to research participants.
28.5 points
Generally discussed the potential ethics associated with the
study and the participant protection plan, including
administration of informed consent, protection of privacy and
confidentiality, and evaluation of the potential of risk and harm
to research participants.
30 points
Specifically discussed the potential ethics associated with the
study and the participant protection plan, including
administration of informed consent, protection of privacy and
confidentiality, and evaluation of the potential of risk and harm
to research participants.
/ 30
This table lists criteria and criteria group name in the first
column. The first row lists level names and includes scores if
the rubric uses a numeric scoring method.[Section III] Research
Ethics
Poor (Below Standards) Receives less than 80% of full points
Good (Meets Standards) Receives 80 to 95% of full points

6. Excellent (Exceeds Standards) Receives 96% or above of full
points
Limitations of the Study
16 points
Did not appropriately identify the challenges of the study.
19 points
Identified some challenges of the study and provided general
suggestions for the future studies.
20 points
Appropriately identified challenges of the study and provided
the insightful suggestions for the future studies.
/ 20
This table lists criteria and criteria group name in the first
column. The first row lists level names and includes scores if
the rubric uses a numeric scoring method.Writing & Style
Poor (Below Standards) Receives less than 80% of full points
Good (Meets Standards) Receives 80 to 95% of full points
Excellent (Exceeds Standards) Receives 96% or above of full
points
Grammar & Mechanics
8 points
Grammatical errors or spelling & punctuation substantially
detracted from the paper.
9.5 points
Errors in grammar or spelling & punctuation were rare and did
not detract from the paper.
10 points
The proposal was free of grammatical errors, and spelling &
punctuation did not detract from the paper.
/ 10
This table lists criteria and criteria group name in the first
column. The first row lists level names and includes scores if
the rubric uses a numeric scoring method.Writing & Style
Poor (Below Standards) Receives less than 80% of full points
Good (Meets Standards) Receives 80 to 95% of full points
Excellent (Exceeds Standards) Receives 96% or above of full

7. points
APA Style, Citations, & References
8 points
Errors in APA style detracted substantially from the proposal.
Word choice was informal in tone. Writing was choppy, with
many awkward or unclear passages. Errors in citations and
references detracted significantly from the paper.
9.5 points
Rare errors in APA style did not detract from the proposal.
Word choice was rarely informal in tone. Writing had minimal
awkward of unclear passages. A few errors in citations or
references were found, but did not detract from the paper
10 points
No error in APA style. Word choice was formal in tone. Writing
was flowing and easy to follow. All citations and references
were correctly written and present.
/ 10
Rubric Total Score
Total
/ 100
Overall Score
Overall Score
Poor (Below Standards) Receives less than 80% of full points
80 points minimum
Good (Meets Standards) Receives 80 to 95% of full points
95 points minimum
Excellent (Exceeds Standards) Receives 96% or above of full
points
100 points minimum