University of The Cumberlands Data Visualization and Analysis Review Data Visualization and AnalysisWrite a chapter review for the chapters 4 to 6 in total

University of The Cumberlands Data Visualization and Analysis Review Data Visualization and AnalysisWrite a chapter review for the chapters 4 to 6 in total 6 pages(2 pages for each chapter) in APA format.Textbook link : find attached sample document for creating chapter review. 1
Executive MSIT
Chapter Readings Reflections Journal
Chapter 1: Defining Data Visualization
In Chapter 1, the author Mr. Kirk describes about the concept of Data Visualization. Data
visualization was defined as the visual analysis and communication of data. The chapter also
included the historical background survey definition of data visualization by various other
Also, in the book was a set of fascinating recipes that of the components in that involve in the
definition. The type of data that is required to be visually analyzed is important before it is being
subjected to further processing before visualization.
Mr. Kirk also emphasized the significance of the art and science of making data analysis a fun
filled technical and an analytical reading that encourages the use of human perception to make
decisions in assistance of visual treats that come in the form of graphs, pie charts among others.
The science of data visualization is defined with the implication of truth, evidence and rules that
govern the process of visualizing a set of data that can be quintessential in determining the path
of an enterprise or an organization.
Upon reading the chapter 1 in this book that was in depth into data visualization, I was able to
grasp essential technical and analytical definitions and can say they are quiet telling in terms of
the importance on the concept and visual representation of the definitions. The use of some of
the citations was a key indicator that data visualization can be defined in various ways and can
assist in technical improvements if used in way that is beneficial to all parties.
Ideas and thoughts:
The chapter was a thorough analysis of the concept. However, I was also keen on looking for
live examples of visual tools or results of analysis inculcated in this defining place of the book.
The big positive is the use of the concept of science and art that can be implemented in the day to
day activities to introduce data visualization in any area and can help in making decisions that
can set a trend for the growth of an organization. In terms of the course, it was a great read to
write this review journal and can hopefully add a firm base to the things to come.
The concept of data visualization can be implemented in my current work environment. As an IT
personnel, I deal with the network infrastructure and constantly come across large chunk of data
that will need to be analyzed for its usage stats, bandwidth, performance and benefits of choosing
the hardware or software accordingly. To best impact this, the monitoring tools such a s NetFlow
helps us in verifying bandwidth over utilization or underutilization to perform a set of tasks
before troubleshooting any related issues. Now, the concept of data visualization can be
implemented here to introduce business analysis visualization tools such as Tableau to measure
the weekly, bi-weekly, monthly statistics to make decisions. The visual analysis shows the
decision maker to stick to the current bandwidth, hardware etc. or upgrade as necessary.
Chapter 2: Visualization Workflow
In chapter, Mr. Kirk explains about the workflow and path of visually analyzing data, the
visualization workflow is a key concept in implementing a data visualization tool in an enterprise
and the chapter benefits the reader with typical representations of the concept in mutual
combination of theoretical definitions. The conceptual workflow involves around the decision
forensics, assessment of the current workflow and a final analysis of potential problems.
The decision forensics speaks about sample visualization and forensically decipher the designs
and pattern of data and deconstruct a puzzle to get to the root of the theme under consideration.
The tactics involved is explained and the need to find hidden contexts and behind the scenes data
is important. The stage of current workflow talks of the existing setup. Advantages,
disadvantages, need to improve and the benefits of improved visualization analysis.
the author emphasizes an activity involving brainstorming the reader to perform data gathering,
ideas to implement a project plan with the manager at an enterprise and to learn the underlying
concept of data visualization. This provided a learning opportunity to the reader to engage in the
book and analyze their situation based on this concept.
Ideas and thoughts:
The author presents us a unique way of representing data visualization through workflow models
that can highly impact the decision maker to choose a path that can be totally different to the
existing setup.
Upon reading the chapter 2, I was able to gather info about the use of data gathering and
arrangement before processing. A quick thought on this provided the possibility of segregating
data beforehand in order make the process smooth and to eliminate unusable data. This can save
a lot of time and money when the size of data is large. A further benefit was to improvise the
existing setup by going through the existing setup and acquire hidden data. However, this needs
to be done without unintended downtime and loss to an organization.
The workflow can be implemented in my current personal space while assessing the amount of
data stored in my emails coming from credit card transactions. Upon logging into my credit card
activity statement, I can filter thrones that are needed. This can help benefit me to keep track of
the required ones and delete the rest of junk. Nowadays, since this is visually available through
graphs, it makes life easier to organize the data before acting.
Meanwhile, in an enterprise, the importance of workflow cannot be emphasized enough. The
need to gather historical data is quintessential in terms of auditing and cost analysis. The most
important part is the effect this has in future decision-making processes.
The next application is to perform thorough research on the hidden data that can go missing but
can have a significant impact on the outcome of a project. For example, if the data usage over a
weekend is not captured as it was a long weekend, it affects the next part of the report and can
mislead a user to perform wrong analysis.
Chapter 3: Formulaing Your Brief
In Chapter 3, the author brings a fascinating idea of Formulation of your thoughts in brief and to
analyze the context that revolves around the curiosity ad the purpose and eventually concluding
with ideas and maps that define the purpose of doing the activity.
The author begins with his fascination of movies – what makes a big movie, the cast involved,
technical aspects, background score, set and the need to entertain the audience in a visually
pleasing way. Key decisions are to be made for each of these to make it a blockbuster.
The key highlights on the chapter in terms of the activity was the representation of circumstances
involved around a big movie – stakeholders and audience; the constraints; consumables –
frequency and setting to inculcate the rest; delivery – importance of time and format and the
major part was the required resources. All these required skilled labors to assess the data and
provide suitable suggestions to bring a visual spectacle to the screens.
Ideas and thoughts:
The key ideas and thoughts while reading the chapter was the unique way of analysis of the
author to bring about his point of view.
In conjunction to the above points, the vision was clear through the purpose maps and ideas. The
purpose was to present in a way that is appealing through caption, overlays, dialogues and
balancing it with values and logic. The lollipop maps provide a key mental visualization analysis.
I find that if this can be used elsewhere, it can benefit organizations to make quarterly decisions.
The concept can be applied and understood when we read the influence and inspiration of
visualization explained in the chapter. The author of such vast knowledge gets inspiration and
writes books, and we as readers can make use of the quantitative and qualitative variables and
can implement it in our daily activities.
The overall concept of delving deep into a plan and to research the key factors and to analyses
situations that stimulate the process can be crucial in determining the type of decisions that can
be undertaken.
In our workplace, a lot of work goes through tiers and hierarchical models and requires analysis
at each stage. The concept of formulating a brief can make sure the owners can keep track Nd
govern the activities in suitable fashion that can steer the growth of the organization.
Kirk, A. (2016). Data Visualization: A Handbook for Data Driven Design. Thousand Oaks, CA:
Sage Publications, Ltd. ISBN: 978-1-4739-1214-4

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