Analytic Essay

Analytic Process
The first analytic process is: create a solid information base; the author states "combine expertise
and professional research with personal experiences to better understand the problem's nature and
its impact on people's lives" (Gastil 185). I do agree with the Gastil statement, because the in the
meeting, Dr. Maldonado talked about his personal experience so that it was related; Dr. Brewer
who I have been in a conference with a couple of times before this meeting also did the same. For
example, the vice president recently joined the company this year; he talked about his personal
experience and how he convinced about his moving here for his new position. At the end of his
personal story and he said that "even though it was harder than I...show more content...
When she voiced her concern and disappointment of how we are the frontline of the company, yet,
being mistreated a lot of staff in the conference from offices joined in on the matter while the
president and the vice listened and responded to some questions.
The second social process is: ensure mutual comprehension; to be sure that the subordinates
concerns were be heard and vice versa, Dr. Maldonado talked about the ongoing concern about
employee performance (chances of the increase in salaries), and cost effective activities to
encourage and support the employees. Some of what he has said was: scale of expertise, common
team standards, better employee human relations services, counseling, professional training, tuition
reimbursements, and job
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Example Of Decision Analytic Models
Decision analytic models are used to examine cost effectiveness of healthcare interventions. These
models summarise available evidence succinctly for analysis. When there is a lack of observed
evidence, expert opinions on the mean or median values (occasionally the minimum and maximum
range) for the parameter of interest are commonly used. This does not provide sufficient information
to examine whether the distribution of uncertainty surrounding the parameter of interest is
representative of the expert's opinion. As this is a key component in Probabilistic Sensitivity Analysis
(PSA) commonly used in decision analytic models, as recommended by NICE(1), there is need to
ensure the appropriate distribution of parameter uncertainty to...show more content...
This systematic review by Grigore et al(2) highlighted the need for guidelines to critically appraise
elicitation exercises and suggested for more research to define these measurement criteria. The
authors proposed that until a definitive checklist is developed, the validity and reliability of the
elicitation exercise should always be reported explicitly.
Following this 2013 systematic review, the same authors published an article in 2016, on a study that
compared the results for two commonly used elicitation methods, the histogram and hybrid
methods(3). This study had the following 3 objectives
1)Examine how these two methods appealed to the experts,
2)Determine if there were any differences in the elicited distributions and;
3)Compare the impact of the elicited distributions on an actual decision model
The study results showed that
1)Generally, the experts found the histogram method easier to use compared to the hybrid method
although the two elicitation methods were closely ranked by the experts in terms of ease of use and
face validity
2)The distributions from the histogram method were slightly narrower than the distributions from
the hybrid method, suggesting greater certainty when aggregated.

Business Analysis : Business Analytics Essay
Business Analytics Business Analytics, is a system that use various techniques and processes to
gather information to used be used to make business decisions. The data is used to answer a
question. Often this is used in marketing. It helps to take away some of the "guess work" out of who
market will target. This process has been credited with increasing the ability of organizations to be
more competitive. Just as important as collecting data is the ability to interpret and apply the data.
Essential to a Business Analyst success is, the support from an International Technological (IT) team.
If costly technical systems are not used and maintained properly, it could the system to malfunction.
This could produce inaccurate results in the data. Incorrect data could cost the organization greatly.
The data can be used to detect fraud, as well as exploring science. The Business Analyst must delete
the data that cannot be used. The data produced patterns is then analyzed. Then information is
forwarded to the appropriate people. The information is used to create a plan. The role of a Business
Analyst is valuable. So are the tools they use. Multipolar Analytics A system that collects data, then
analyze it in multiple places in the organization is using Multipolar Analytics. The exact system
component will vary depending on the type of data and analysis the system will need to output. The
Multipolar Analysis include systems that use traditional operational

Personal Narrative-Analytic Essay
Most people's first thought when they find out they're being strangled is probably something
along the lines of "Oh no! I'm being strangled! Help! Ahh!" or something like that. Mine, of
course, was "Aww crap, not again." I was fairly used to people attempting to strangle me by now,
which might have to do with the fact that most people at Shield don't like my awesome puns as
much as I do. However, most of them used their hands to do it, not super powers. That was new.
Unfortunately that also meant that I couldn't use my super awesome katanas to get out of my
current situation. I designed them myself, but I was still making modifications. They were way
cooler than normal katanas because after reading a certain book series(it's called H.I.V.E.) I
made a few changes to the original design. I could now make them as sharp or dull as I wanted, to
a certain degree. Anyway, enough about my babies and back to me being strangled. I was kinda
starting to pass out, which is about the time I started panicking. Yea, I know what you're thinking.
"Woah, Jac, you're so strong and brave! How were you not panicking?" No, I'm really not. It just
kinda took a second to sink in that I was actually in danger of being killed. Also, the fact that I've
honestly...show more content...
An idea popped into my head. "Hey Cass, I'm going to try to lift us all out of here. Think you
could spare some energy?" She looked at me confused for a second before nodding and dragging
Alexa away from me. Tarin seemed to get the message and backed up a little. Cass then touched
my shoulder and I felt the energy surge through me. I felt like I could turn into a dragon, which
was great because that was exactly what I was planning to do. However, the dragon had to be big
enough to carry all of us, and small enough to not crush everyone else in the room or break any of
the walls down. That part would be

Analytic Summary
The book is all about the things that make one to be a smart consumer of cutting–edge analytics,
facilitating to frame the judgement, questioning about the information and the procedure, operating
to comprehend the consequences, and using them to progress results for his or her business. Even
though it sounds direct, I directly acknowledged it as a deceptively single–minded set of purposes of
the book. The writers planned the first half of the book about an analytics outline that entails of six
stages: problem acknowledgment, evaluation of previous results, displaying, data assortment and
data examination, and outcomes demonstration and action. This planned method to discerning about
analytics is one of the most important notions that Davenport...show more content...
In numerous cases, the writers use this outline to designate milestone academic study efforts that
covered many years and certainly changed in not as much of linear means; for instances, comprise
ofMurray and Gottman's philosophy of marital encounter and Snowdon's research of judges of
Alzheimer's illness established on data collected from a population of nuns. In a different case, the
writers shoehorn the story of the Houston Rockets' judgement to transact Shane Battier into their
six–stage procedure; this felt like a simplification and overlooked the acute role of the NBA
income cap on how and why that transaction was prepared. Nearly midway through the book, I had
the understanding that keeping up with the Quants was like a school radio station because of the
greeting of KUWQ, radio live from the focus of the analytics cosmos. KUWQ is inveterately
heterogeneous, containing pop records, for example, no analytics book is comprehensive without a
compulsory Gary Loveman allusion, golden oldies, a delightful story about a finding by Archimedes,
and approximately brilliantly creepy tunes, for example, uberGeek Garth, Sunday's fictional Fido
guide for shaping one's appropriateness for pet possession. The instances comprise the association
between originality and analytics, propositions on how bosses can bolster their logical, intellectual
and competencies, and the value of relations and trust in allowing data–driven judgement

Analytical Reflection Essay
Analytical Reflection
The author said that American's equality and informality in this article, and he/she pointed out that
negative perspective and following examples: women, the higher–status person, and foreigners. In
addition, the author implied that contradiction of American's equality with some common situations.
However, author illustrated that American's casual and friendly behavior, and he/she mentioned
about equality of Americans with favorably.
I personally disagree that equality of the US because president Trump eliminated people of the
Middle East countries and African countries. Furthermore, he decided to build a huge wall between
the US and Mexico, and the US government makes the Mexico government pay this construction
cost.

Analytic Rubric
You covered all the areas of the question very well. Just like you said both rubrics are appropriate
for grading and the teachers will know exactly when to put to use one or the other. Analytic rubrics
are more specific when it comes to grading their writing skills such as an essay or a research paper.
When using analytic rubrics we must be prepared to spend quality time scoring them assignment, as
you mentioned it is more consuming to score than a holistic

There are many cognitive biases that affect the analytic process and inhibit analysts from reaching
the height of their accuracy. Each of these cognitive biases affect thinking in a unique way, but there
are different techniques that can be used to overcome these biases. Most of the time cognitive biases
are not intentional which is why it is so important that measures are taken to reduce the effect of
cognitive biases. Structured Analytic Techniques effectively reduce the effect of cognitive biases in
many different ways. This paper will examine four cognitive biases and Structured Analytic
Techniques that can help intelligence analysts be more accurate and less biased in their analysis.
Anchoring is a cognitive bias in which there...show more content...
Outside–in thinking is a strategy that requires analysts to think from the perspective of the outside.
The first step of outside–in thinking is to list all of they forces that could have an impact on a
certain topic or issue. From there the analyst looks at possible factors that could influence that topic
such as policy changes or actions of an adversary. The next step is to analyze how each of those
factors could affect the topic or issue that the analyst is focusing on. The final step of outside–in
thinking is to judge whether or not the factors you identified are relevant to the issue at hand. This
process requires the analyst to first look at all possible information and then work until they have
reached a conclusion. The conclusion is the last step of this process and the analyst is aware of this
fact so they are less likely to only look for information that supports their conclusion. This thinking
process is effective in encouraging analysts to avoid the pitfalls of the confirmation

2.3.2 MCDA Models Related to Thesis Analytic Hierarchy Process and Analytic Network Process
There are different methods to solve multi–criteria decision–making problems. Analytic Hierarchy
Process (AHP) and Analytic Network Process (ANP) are two methods introduced by Tomas
Saaty. AHP tries to solve the decision problem by modeling it in a hierarchy while ANP is used
when the problem is so complex that cannot be modeled as a hierarchy. This complexity occurs
because of the effect of criteria on each other or the effect of alternatives on criteria. The Analytic
Network Process is a generalization of the Analytic Hierarchy Process. ANP approach comprises four
steps [87]:
Step 1: Model construction and problem structuring: The problem should be stated clearly and
decomposed into a rational system like a network
Step 2: Pairwise comparisons and priority vectors: In ANP, like AHP, pairs of decision elements at
each cluster are compared with respect to their importance towards their control criteria. In addition,
interdependencies among criteria of a cluster must also be examined pairwise; the influence of each
element on other elements can be represented by an eigenvector. The relative importance values are
determined with Saaty's scale.
Step 3: Supermatrix formation: The Supermatrix concept is similar to the Markov chain process. To
obtain global priorities in a system with interdependent influences, the local priority vectors are
entered in the appropriate columns of a

Business Analytics
Content Business Analytics Part 1. What Business Analytics is: The Basics I.Introduction History of
Analytics Types of analytics Domains within analytics Part 2. How Business Analytics can be used
to gain advantage in a competitive marketplace Benefits of Business Analytics to an organization for
competitive advantage A Case study of competing on analytics Conclusion Business Analytics Part 1.
What Business Analytics is: The Basics Introduction Business analytics, in a nutshell, is usage of the
type of data that can help one analyze a particular business situation and decide how to improve it.
Instruments used for such an assessment include statistics, and both quantitative and qualitative
analysis, as well as predictive and explanatory modeling. Business analytics is different to Business
intelligence which also uses statistical methods. Business analytics uses statistical methods and data
to arrive at fresh understanding and illumination of a situation, whereas business intelligence uses
statical data to serve as querying, reporting or alerts. Business analytics, therefore, is, one may say,
the detective side of business using the statistics to develop and progress the business or direct it in
new directions rather than revamping it with existent and supportive data. Business intelligence, in
other words, uses the data to inform stakeholders and others what is occurring with the business,
what the action is, and what steps are being taken.

Inside Out Analytic Analysis
With the development of every aspects in the society, to use multiple medias as a storytelling
method gradually become a tendency nowadays. In order to gain various consumption, we need to
market the product effectively and to make it appeal to varying type of consumers. Due to the
successful and popularity of Inside Out, which is an animated feature film in 2015, the film can
articulately make use of several transmedia to narrative the storytelling. The using across multiple
platforms and formats to tell the story gives audiences experiences of the engagement and
connection with the film. There are three mode below would be analysed that I chose to expand for
the film Inside Out.
First mode would apply with a role play simulation video game...show more content...
The test would be an additional fun activity that created in the Inside Out's official website. Same
idea with the official website for the Harry Potter, the self–exam discovers what truly personalities
you are depending on what house you belong to. The self–test determines where strengths are, and
discover what aspects might develop more. When fans and audiences check the website, they would
find interests to do a little bit interesting activity, at the same time to evaluate which emotion they
belong to. Initially, by researching and collecting the questions, then composes to a completely quizz
that people can actually understand themselves after the test. Next, total the numbers in each
category you have chose on the questionnaire to get a final score. Depends on the answers, the final
result shows what characteristics you mostly have. In the end, it would provide appropriate advices
to improve their weakness and shortcoming, and help to become more aware of their personalities. It
would presented in a combination of texts and graphics, and applies to a web format. It is a type of
communication and collaboration. Because the test needs collaboration from the people, who take
the test. Also, these people are literally interacting and communicating with the film

Analytic Synthesis Essay
Escherichia coli (Gram–positive), Staphylococcus aureus (Gram–negative), and the unknown sample
were heat fixed onto a slide via inoculating loop. A series of different stains (Crystal violet, Gram's
iodine, and Safranin) and alcohol are applied to the slide to reveal whether the unknown sample
turned Gram–negative or positive. Using two SBA plates in the hemolytic test will distinguish
between different types of Gram–positive cocci. Gram–positive microorganisms produce enzymes or
by–products after consuming the protein and iron rich blood. All controls and the unknown are
streaked onto the plates and are then incubated at 37 degrees Celsius. The plates will be checked
every 24 hours for two days. Two tellutite–glycine agar plates are streaked...show more content...
S. Aureus tested for Beta/complete hemolysis, S. Pyogenes tested for Alpha/incomplete hemolysis,
and all other tested for Gamma/no hemolysis.
S. Aureus was the only bacteria species to turn coagulase–positive during the Tellurite–Glycine Test
compared to all other tested species which had white colony coloration. No growth was reported
after the first 24 hour check. After two days the colonies had all grown and S. Aureus was the only
species with a faint coloring of black.
Every culture of bacteria grew out beautifully on the Eugon plate for the Catalase test. Out of all
species tested, only S. Aureus and Staphylococcus epidermidis tested positive for oxygen release.
The other samples were observed to have no change after the hydrogen peroxide drops were applied.
The final examination of the samples through the DNase test showed only one bacterial species to
be associated with DNase production. S. Aureus had a very predominant transparent ring around the
grouping of colonies. It was also found that S. Aureus turned bright yellow while growing on the
plate. All other samples had no change and showed normal growth. A table of all the results can be
found directly

Example Of Analytic Epidemiology
The main purpose/focus of analytic epidemiology is to thoroughly research, analyze and/or test
predictions and possibilities of exposures to diseases as well as hypothesis outcomes.. The analytic
area of epidemiology focuses on answering the why and how questions. This method/area helps
determine what caused the disease. Two main factors are exposure and outcome. The two primary
categories that the analytic method utilizes is experimental and observational studies to test the
hypothesis. Experimental studies generally include randomized clinical trials. One example of this
would be vaccine efficacy trials. The observational studies can be one of three different types, case
control, cohort and cross sectional. The method that is used is always

Macbeth Analytical Essay
In an effort to achieve, it is often in literature that the protagonist learns to accept his or her currently
fortuitous circumstances and rather than ambitiously seek what he or she wants, the protagonist
acquires what they need. This is a way in which an author can teach a moral lesson about the ill fate
of those bridled by ambition, hubris, greed, etc., without being overtly sententious. Shakespeare,
whether by intention or coincidence, wrote in a similar sense in regards to some of his most famous
and renowned tragedies. Often his works reflect a sense of morality, though rather than the
protagonists realizing the mistakes, their flaws become fatal and only after their actions take their
grievous course do they acknowledge their misjudgements....show more content...
Hamlet, one of Shakespeare's most beloved protagonists, shares character traits with well crafted
villains. Though he is supposed to be a tragic hero, he wittingly and cruelly hurts the people close
to him in his despair and thirst for revenge. Towards the end of the play he claims he loved
Ophelia more than her own brother did, a brother who did not play with her emotions and use her
for his own gain and bloody goals. Even if Hamlet did truly love Ophelia, he manipulated and
viciously abused her feelings, trust, and confidence, something one would find in a
power–imbalanced relationship where one is a villain and the other a victim. His downfall,
though, is his play at madness. He chooses to donne a facade of insanity in order to take revenge
for his father's sake, but meanwhile compromises his authority and ability to be taken seriously.
Had he rather been subtle and not abrasively distance himself from every potential ally, perhaps he
would not have met such a gruesome end. His own actions and selfish willingness to do anything to
satisfy his own lust for revenge was the direct cause of his death. His brash murder of Polonius, his
alienation of Ophelia, his disturbing confrontation and aggression towards his mother all lead to his
death and the death of other innocent people. Again, Shakespeare has

Essay On Business Analytics
Application of Business Analytics
An increasing amount of businesses are exploring this new concept of analytics. In today's
tech–savvy era, the use of analytics can be seen as a necessity rather than a competitive advantage.
More companies are realizing the benefits that come with the use of analytics within the business
environment. Like anything else, there are both pros and cons that come with this approach.
However, the benefits far outweigh the negatives. Business analytics are the future of the business
world. This paper will describe a general overview of business analytics and its application to the
real world.
Definition of Business Analytics
Analytics can be a difficult term to explain. In simple terms, analytics converts data...show more
content...
It is through these three types of analytics, that business analytics can be distinguished from just
being the plain process of analytics. These three types of analytics help make this process useful in
the business environment. It requires "a clear relevancy to business, a resulting insight that will be
implementable, and performance and value measurement to ensure a successful result." Business
analytics includes a combination of all three types to generate new information used for business
organization decision–making. Descriptive analytics basically gives you a general idea of the data
you are looking at. Predictive analytics takes the next step and predicts what is likely to happen next.
Finally, prescriptive analytics figures out what is the best course of action. All three of these types of
analytics can be very useful when used in combination with one another. Business analytics can be
instrumental to a business' success when implemented properly. (Schniederjans et al., 2014).
Pros and Cons
The benefits in relation to business analytics far outweigh the negatives within any business. Despite
this, however, there still are drawbacks related to business analytics. The three major issues relating
to business analytics are ease of use, speed, and scalability. These three factors are the main priority
executives are looking for when it comes to data analytics in the business environment.
Unfortunately, many executives feel as if they are not

Big Data And Analytics Essay
Introduction:
Big data and Analytics have become very prominent areas of study in recent years. Company
revenues exceeding more than one million are found to use some or the other form of business
analytics. The techniques, technologies, systems, practices, methodologies and applications help
analyze the data in the organizations to make critical decisions.
Evolution:
Big data and big data analytics are used to describe data sets and analytical techniques in
applications that are so large and complex and require special technologies to analyze and visualize
them.
BI&A 1.0: Reporting, dashboards, ad hoc query, search based BI, OLAP, interactive visualization,
scorecards, predictive modeling, and data mining are considered 8 important...show more content...
It is used in health care systems to predict the occurrence of chronic diseases in patients and analyze
gene information and in the development of mobile platforms for transferring data between patients,
doctors and insurance providers. BI&A applications also include development of techniques to fight
against terrorism, cybercrime and other security related issues.
Unlike the traditional DBMS that use structured data, various technologies like Map Reduce and
Hbase are used for analyzing unstructured and semi structured data sets. Information extraction is an
area of research that aims to extract information from documents, from e–mail messages and
corporate documents to web pages and social media content. The latest accomplishments of Apple's
Siri and IBM's Watson have increased Q/A research and commercialization markets. HTTP/HTML
based hyperlinked websites led to the development of web site spidering, web page updating, web
site ranking and search log analysis. Networking analytics has focused on link mining and
community detection. The scope of mobile analytics is also emerging drastically for mobile health
and mobile learning.
The paper also discusses about the growing number of research publications related to BI&A. Many
conferences like the conference on Business Intelligence and Financial Engineering

Big Data and Data Analytics Essay
In today's society, technology has become more advanced than the human's mind. Companies want
to make sure that their information systems stay up–to–date with the rapidly growing technology. It
is very important to senior–level executives and board of directions of companies that their systems
can produce the right and best information for their company to result in a greater outcome and new
organizational capabilities. Big data and data analytics are one of those important factors that
contribute to a successful company and their updated software and information systems. What are
Big Data and Data Analytics? You may ask what big data analytics is. Well according to SAS, the
leading company in business analytics software and services...show more content...
They pay attention to data flows as opposed to stocks, 2. They rely on data scientists and product
and process developers rather than data analysts, and 3. They are moving analytics away from the IT
function and into core business, operational and production functions." (Davenport, Barth, and Bean)
Organizations that pay attention to data flows instead of stocks are trying to enhance their brand by
using continuous data flows. Continuous flows help the performance of the company such as using
forecasting, text mining, and optimization and helps executives to make the best possible decision.
When companies rely on data scientists and product and process developers instead of data analysts
they know that data scientist will have the most knowledge and experience with information
technology (IT). In comparison with traditional analytics, data scientist have far more advanced
skills and can help to develop products and ideas whereas traditional analytics really advised the
executives about the internal portion of the company. Lastly, companies interested in big data want
to move away from the basic IT functions and closer to core business and operational functions. In
past years, the traditional way of replicating existing technologies seemed to be inefficient compared
to what big data has to offer. Another change from basic IT functions is that big data uses

Data Analytic Analysis Paper Example
Understanding my chosen path... thinking back Thinking back to the day the application to SNHU
for this Data Analytics Program was submitted, it was months of weighing options before the final
decision to take the plunge. There were a few reasons to why this program was chosen. Career
growth was definitely the first reason for this motivation. The realization of a need to find a
professional 'me' was the decision maker. Seeking something interesting yet challenging was the
goal. Realizing that calling out anomalies and outliers, seeing trends and patterns is a personal
strength, hence, the analytics path was chosen. Working with data and reviewing information has
always been something of interest, moreover, and the interest was even deeper...show more content...
An article found about communicate an unsuccessful project became a support material to keep
plugging till the finish line. In this article titled "I Won Science Fair with A Failed Project: The Skill
of Presenting Failures", written by Thursday Bram, explains that although the project might not be
fruitful with the current approach, the reason to why this project is initiated still hold importance
and will have a negative impact to the company if no action is taken.
Professional Experience
In the past weeks, it felt like riding an emotional roller coaster when thinking about being an analytic
professional. Professionally, knowing that the personal strengths are in research, planning,
organizing and understanding concepts are great, however, the inability to connect what is learned
into applicable actions is concerning. On a brighter note, it was surprising to have learned that being
an analytics profession isn't just about numbers and graphics and understanding statistical models,
one has to also know (a) data protection, (b) data integrity and (c) data transformation. Next, the
connection to project management where responsibilities of a project manager are actually
applicable to a professional analytic is a personal bonus. Having an extensive background in project
management and business analyst, being able to still practice the learned skills and techniques and
apply it in the new found of analytics is a pleasant finding.

Analytic Rubrics
There are advantages and disadvantages that exist for both holistic and analytic rubrics. Teachers use
holistic rubrics (e.g. the Holistic Oral Language Scoring Rubric and the Holistic Scoring Rubric for
Writing Assessment with ELL Students) to assess their students' cognitive functions simultaneously
while analytic rubrics (e.g. the Student Oral Language Observation Matrix and the Analytic Scoring
Rubric for Writing) assess children's abilities separately and assign a different score to each learning
aptitude/dimension. Advantages of using holistic rubrics include the following: faster scoring
process; can be used a means of summative assessment at the end of project or a unit; emphasizes
the positive aspects of a student's work. The downside

Website Analysis : Web Analytics Essay
Web analytics helps us to extract the data , analysis and perform report with the available data
about a particular website which helps to identify and enhance the website for existing users and
to attract new users [1] However, Web Analytics is a procedure for measuring web movement as
well as can be utilized as a medium for business and statistical surveying, and to evaluate/enhance
the adequacy of a site. For organizations utilizations of web analytics can help them measure the
aftereffects of eventual outcomes or broadcast advertising campaign. It helps one to measure how
activity to a site changes after the launch of new advertising campaign. Web analytics gives data
about the number of visitors to a site with the number of site hits. It helps measure traffic based on
demographics which is useful for market research. [2] Additionally Web analytics is regularly
utilized as a major aspect of visitor relationship administration analytics (CRM analytics). The
analysis can incorporate deciding the probability that a given visitor will repurchase an item
subsequent to having obtained it previously, customizing the site to visitor who visits over and over,
checking the rate volume of purchases made by individual visitor or by particular gatherings of
visitor, tracking their geographical locations from which the most and the minimum visitor visit the
site and purchase particular items, and foreseeing which items visitors are most and to the least
extent liable to

Analytic Essay

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