Writing as a Business Analyst
Writing is
an aspect of everyday life that will impact you no matter where you are.
Whether it’s in school, your profession, or in your home life, writing will
follow you everywhere and it is very important to understand what it is and how
you do it. Specifically to analytics, there are many types of writing including
academic and non-academic. Ranging from little notes and memos to full books
and papers, every style of writing is used in the world of analytics.
Non-Academic Writing
Non-academic
writing accounts for what is used in every day communication. To learn more
about what a typical writing day ensues in the business analytics world, I
interviewed Professor Dan Conway. Throughout his career as a data analyst
(another name for business analyst), Conway has worked as a professional
business analyst and as a professor here at Iowa, at Notre Dame, and at Loras
in Dubuque, IA. When asked about writing in a normal day, Conway spoke of
efficiency. He said “In a normal day, you will have roughly 5 minutes to
impress the presenter. Try to be efficient” (Conway). Most of the writing you
will do in a typical day occurs when somebody asks you about a topic and you
need to inform them about it in a short period of time. The emphasis is
efficiency: you have to present as much information in as short of a time
period as possible. In an assignment example given to me by the professor, one
phrase was used commonly throughout the page: 90/10. I asked him what it meant
and he said, “The goal of your writing in this field should be to include 90%
of the information in only 10% of the space” (Conway). I heard that and looked
over the assignment again and started to notice all of the charts, pictures,
and colors included throughout the pages. They do an excellent job of drawing
the reader’s attention to what is most important, which helps him or her to be
efficient.
Another
form of non-academic writing that is commonly used is the use of basic
articles. These are most commonly used to express the ideas of a company or
those working on a project with the public and others who may be interested.
While they are not as in-depth and complex as the academic writings that will
be discussed later, they do include more information than the short
presentations that I talked about earlier. Within these articles, the goal of efficiency
still exists. To accomplish that goal, the author will commonly use tactics and
formats such as bulleted lists to avoid the fluff and extra elaboration of
regular writing. In addition, they will also use headings to help the readers
guide through the article and find the pieces of information that they were
looking for, which is especially helpful if they don’t have time or are not
interested in the entire article.
Academic Writing
In
the world of business analytics, academic writing is much less common than the
non-academic forms, but it is still just as important. The purpose of the
analyst is to find the data and understand what it means, so they need someone
else to help them put it all into writing. For this, they will collaborate with
professionals in the writing field and work together to complete the book or
research paper. As Professor Conway said it, “The analyst mostly works to write
and include the information in the writing. They most often work with another
person who specializes in writing and let them handle the logistics of the
text” (Conway). In the examples that I have, it is evident that the same
concepts of the non-academic writings are included but they serve a difference
purpose. For example, there are graphs and diagrams included in the research
papers, but they are used to provide extra information and explanation as
opposed to summarizing it and bringing it together all in one place. Both are
using the data to get their points across to the audience, but with slightly
different uses.
How Has Writing Changed
Another
point of emphasis by Professor Conway was how business analytics have changed
over time. The main contributor to the changes has been technology. With the
many advances in technology; including but not limited to the creation of tools
such as skype, tablets, network sharing, the entire business analytics world
(not limited to just writing) has become more efficient. It all starts with the
qualifications that are required to earn a degree in business analytics: what
used to take 12 years now can be completed in 4 years, allowing students to get
into the field much quicker. Outside of the school aspect, the technology has
allowed companies to communicate across a vast world. With the additions of
skype and FaceTime, companies can meet face to face to discuss issues and
projects instead of having to rely on the written word. It makes everything
much easier to communicate and allows for things to be completed with much
greater efficiency. In addition to communication, companies can now search
endlessly for the data that is needed for them to write. With the vast amounts
of data, their writing becomes much more in depth and relevant than it has been
in the past.
In
writing, technology has allowed for an increase in dimensionality. With the
upgrades to computers and software systems, companies and analysts can insert
graphs, tables, and charts into their writings to enhance the information they
are writing about, as shown in both academic and non-academic writing. More so
in the common use of non-academic writing, people are now able to use colors
and formats to draw attention to the important details of the writing, when in
the past they could not.
Conclusion
With all
of this being said, writing has had a vast impact on the business analytics
world. With the combination of academic and non-academic writing, the business
analysts are able to communicate with everyone in the world in a very efficient
manner. In all aspects of life, writing is an important aspect. However, with
the advances in technology, it is only becoming easier to enhance your ideas
and emphasize your points in both academic and non-academic writing.
Works Cited
Conway, D. (2014, October 20). Teradata Powers
Next-Generation Analytic Performance.
Retrieved September 14, 2015.
Fahimnia, B., Tang, C. S., Davarzani, H., & Sarkis, J.
(2015). Quantitative models for managing
supply chain risks: A review.
European Journal Of Operational Research, 247(1), 1-15.
doi:10.1016/j.ejor.2015.04.034
Kohavi, R. (2002). Emerging trends in business analytics.
Retrieved September 14, 2015.
Schneider, G. P., Jun, D., Janvrin, D. J., Ajayi, K., &
Raschke, R. L. (2015). Infer, Predict, and
Assure: Accounting Opportunities in
Data Analytics. Accounting Horizons, 29(3), 719-
742. doi:10.2308/acch-51140
Simonet, A., Fedak, G., & Ripeanu, M. (2015). Active
Data: A programming model to manage
data life cycle across heterogeneous
systems and infrastructures. Future Generation
Computer Systems, 5325-42.
doi:10.1016/j.future.2015.05.015
I like that Ben initially introduces the topic of writing vaguely, and becomes more specific as the introduction continues. He states the large impact that writing has on everyday life and the importance of having good writing skills. Ben makes it clear in the introduction that he will be informing the reader about writing in business- specifically to business analytics. The introduction was good, but I think that the thesis statement can be more clear. The last sentence could potentially make more of a claim to lead the rest of the paper.
ReplyDeleteThe flow of the paper is good and the topics in each paragraph and clear, informative, and thought out. He sections his paper into titles such as Writing as a Business Analyst, Non-Academic Writing, Academic Writing, and Conclusion. I like these titles because it makes his paper appear to be organized, and he stays on topic throughout the entire paper. Ben refers to his interview with Dan Conway often and backs up every claim that he makes. The paper seems like it has a lot more information on non-academic writing, and not as much for academic writing, so he could add more non academic examples if he needed to.
Overall, the structure, organization, and content of the essay were very good. It flows well and the organization makes sense. All of the information presented is accurate and is introduced/ explained thoroughly. As a reader, I was intrigued by the information the entire time.
Paper flows exceptionally well in my opinion. Didn't seem too choppy almost anywhere except maybe in the section "How Has Writing Changed." This section didn't seem as smooth as the other sections, but still seemed to flow very well. Thesis does seem rather broad. Instead of just saying all types of writings are used in the field of analytics, focus more on presenting the importance of each of these forms of writing. The background information in the introduction is rather general, but does fully represent the information presented in the thesis. Thesis does make a good argument about the writings in analytics. Paragraphs all adhere to the main idea. The headers for each individual point make it seem very organized, but the last section "How Has Writing Changed" seems a little unnecessary to the overall message of the report. All the quotations are used efficiently and effectively throughout the paper, but they are not always transitioned smoothly into the text. I think the quotation at the bottom of page two could be incorporated a little more smoothly. Overall I think this was a good paper.
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