Problems And Exercises. 1. Business Analytics Focuses On

Problems And Exercises. 1. Business Analytics Focuses On
Problems and Exercises 1. Business Analytics focuses on using mathematical models and
technology to improve decision–making in both business world and daily life. Without even
realizing, people use analytics in everyday scenarios to take different types of decisions. Analytics
can be useful in one's personal life, like managing grocery purchasing, diet, buying any household
item, automobile maintenance and etc. Let us take an example from routine life in which analytics
can be helpful to take a particular decision. Suppose you need to buy a chair for your home. First of
all, you can shortlist the features that are important for you in a chair like colors, length, material
and so on. In this way, you are collecting data to further use. ... Show more content on
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5. Classifying Data Elements in the Sales Transactions Database Figure 1.2 in the textbook shows a
portion of Excel File Sales Transactions Database. The Data includes Customer ID; Region;
Payment; Transaction Code; Source; Amount; Product; Time of the Day. They can be classified as
follows: Customer ID–Ordinal data Region–Categorical data Payment– Categorical data Transaction
Code– Ordinal data Source– Categorical data Amount– Ratio data Product– Categorical data Time
of the Day– Interval data Categorical data is the data, which is placed into some categories
according to specified characteristics. They have no quantitative relationship to one another. Since
region, payment, source, and product are sorted into categories and they have no meaningful
relationship to each other, they cannot be ordinal data. Therefore, they are Categorical Data. Ordinal
data is the data that ranked according to some relationship to each other. Therefore, transaction, and
customer id are classified as ordinal data because they are arranged in order, which have relationship
to each other. Interval data is ordinal data with constant differences between observations. Hence,
time of the day is interval data. Ratio data has continuous numerical data and have a natural zero.
Therefore, Amount is considered as ratio data as it contains numerical value with meaningful
figures. 9. A bank developed a model for predicting the average age checking
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Google Analytics : A Key Requirement For Any Small Business
An Analytics software is a key requirement for any small business which is dependent on an online
presence to maximize its reach. The analytics software helps one understand the best ways to reach
ones customers and draw more traffic and hence business. Google Analytics helps with the analysis
of qualitative and quantitative data from a website and the competition to drive continual
improvement of the online experience that customers and potential customers have, which translates
into desired outcome. Google analytics is also one of the easiest ways to enable a small business to
attract more visitors, retain or attract new customers for goods or services, or to increase the dollar
volume each customer spends.
A metric is a quantitative measurement of statistics describing events or trends on a website. Below
are the some of the key factors that Google Analytics will tell the small business about their
respective site.
Browsers and Operating Systems:
Google Analytics will let the small business owner know if the customers visiting their site are
Internet Explorer, Mozilla Firefox, Google Chrome or Safari users. The report on the website will
show a breakdown of which browsers are used and the frequency in which they are used. This is a
very trivial, however useful feature as sometimes web features are incompatible with certain
browsers, browser versions and operating systems. So based on the number of users on a particular
browser the business owner can invest more time and

Knowledge Management, Business Intelligence And Analytics
Question #1 Topic #1 – Knowledge Management, Business Intelligence & Analytics I was
particularly interested in learning about Knowledge Management, Business Intelligence and
Analytics because of how useful it is and how profitable it can be if used properly. Most companies
are using big data to gather information about customers in order to create a more efficient system to
cater to their customers while increasing profits. They are not only using it to see past behaviors but
they are also using it to forecast and predict future customer actions. If they know who their ideal
customers are, how much they are willing to spend and what they are looking for they can give the
customers exactly what they want. ... Show more content on Helpwriting.net ...
Information is power, which is why companies such as Google and Facebook are experts at
capturing information and using it as a part of their strategic competitive advantage. Learning about
Knowledge Management, Business Intelligence and Analytics will enable to me to be a better
professional. Gathering and sharing data is extremely important especially when working as a HR
professional. Not only do you have to gather and share the information but it is also important to
understand how to extract the information gained in order to process and analyze it.
I am currently writing career development articles for an organization and plan on starting a blog
shortly linking to the articles. While I enjoy writing the articles I don't have instant feedback from
the readers nor am I able to engage with the community in order to build a tribe. Having a blog will
enable me to look at the analytics and figure out how many people are visiting the blog and linking
to the articles. I will also know which topics are getting the most views and figure out who my ideal
readers are. Once I know what they are interested in reading and learning about I will be able to
deliver more articles and resources that will help them in their career endeavors. The information I
learnt in the class will be used immediately. I will have to capture the reader's

Development Of Business Analytics Curriculum
Development of Business Analytics Curricula – A Research Paper Apoorva Mathur Department of
Operations Management & Information Systems, College of Business, Northern Illinois University
Dekalb, IL 60115 USAAbstract The world is changing around us rapidly. In today's marketplace,
the main focus of any organization is to keep up the impact of effect of quick changes, monetary
movements, expanding asset shortage, urbanization, aggressive competitors and innovation leap
forward. They depend on the field of business analytics (BA) to have the capacity to to increase
profitable bits of knowledge from this unbelievably extensive volumes of quickly changing data and
make it actionable. To keep up, the Industry is looking for the talented and profoundly trained
students in the field of big data analytics who can help their associations adjust to what is presently
the truth. Industry consistently reports serious shortages in the number of graduates prepared to
succeed in the positions concentrated on business analytics. The propose that in the previous 5 years,
130 graduate and college degree programs in business analytics have been propelled, yet the
business pioneers report that there is a huge gap between the skills required and preparation that
most of the institutions give to their students. In this paper, we summarize our results and provide
some conclusions about analytics programs, including the current analysis and suggestions for the
advancement of analytics skills,

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
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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

Business Analytics : Marketing Paper Essay
Business Analytics – Marketing Paper
Google is a large technology firm based in America. It focuses on services and products related to
internet search, online advertising, and cloud computing. The company's founders, Larry Page and
Sergey Brin, started the company on 4th September 1998 (Google, 2016). Google first listed on the
public stock exchange on August 19, 2004, with an initial public offer of 19,605,052 shares of Class
A common stock, at a price of $85 per share (Google, 2016). The world highly anticipated Google's
initial public offering and the initial market capitalization was $23 billion. The price earnings ratio
then was $ 80 (Ritter, 2014). As of May 2016, Google's market capitalization stood at $ 82.5 billion.
This paper analyzes Google's performance in the American stock exchange.
Analysis
Google is best–known for pioneering the search engine revolution and providing internet users of
the world with a means of searching and finding information at the click of a button. Nearly 70% of
the world 's queries pass through Google's search engine, and 80% of the world's smartphones run
on Android, an operating system developed by Google. Google leads the Internet advertising
market. It has the highest annual revenue in the advertising industry. Google concentrates on
improving people's accessibility to information. It invests heavily in ways of arranging data in an
accurate and orderly manner. Google's approach is revolutionary for the Internet economy and by

Business Analysis : Business Analytics
About Business Analytics Business Analytics is a comprehensive method used by businesses
deploying sophisticated tools to access past, vast and complex information and then use the acquired
data and information to better analyse the organisation and equip its managers with the ability to
make a well informed business decision. (http://sydney.edu.au/business/business_analytics Name:
Business Analytics Website Name: University of Sydney Year 2015) The Discipline of Business
Analytics comprises of a few of the below complex functions: – Enterprise Resource Planning –
Data Warehousing – Advanced Analytics – Business Intelligence – Compliance – Governance
(http://www.businessanalytics.com/difference–between–business–analytics–and–business–
intelligence/ Name: Business analytics Year: 2015) In other words, the whole chain of processes
starting from; when the data is studied in detail with the help of both operational and statistical
analysis which in return assists in creating predictive models for enhancing and optimising current
applications enabling an informed and well planned communication between and to the customers,
key stakeholders and other business partners is collectively known as Business Analytics.
(http://www.stern.nyu.edu/programs–admissions/global–degrees/business–analytics/program–
overview/what–business–analytics Name: Master of Science in Business Analytics Website: New
York University Year: 2015) The concept on which the below report focuses on is Business

How to Compete on Analytics Essay
How to Compete on Analytics Thomas Davenport describes the prerequisites and the five stages of
analytic competitiveness By Alison Bolen Thomas Davenport's article "Competing on Analytics"
was the best‐selling Harvard Business Review reprint in 2006. To write it, Davenport,The
President's Distinguished Professor in Management and Information Technology at Babson College,
studied the characteristics of more than 50 leading organizations that have made a commitment to
quantitative, fact‐based analysis. Why is the January 2006 Harvard Business Review article so
popular? We recently asked the author and educator that question and discussed further insights
from his research that will be detailed in his new book, Competing ... Show more content on
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I don't think that's a coincidence. What needs to be done before a company can begin to compete on
analytics? DAVENPORT: There are two major prerequisites. One is human, and the other is
technical. The human prerequisite is that you need to have leaders who appreciate and understand
what it means to compete on analytics, and want to do it. Second, having high‐quality, integrated,
clean data is something of a prerequisite. One of the reasons that companies are interested in this
right now is because they finally have access to all this data from ERP systems, Web reports, point‐
of‐sale systems and so on. Today the tools that SAS and others provide for integrating and cleaning
data are better than ever before. From there, what are the stages of competing on analytics?
DAVENPORT: I call stage one "analytically impaired," which means some fatal flaw is keeping the
company from doing much with analytics at all. Either the executives just don't care or they have
bad transaction data or they have lots and lots of data silos around the organization ‐ something
major keeping them from doing this at all. Stage two is what we used to think of as a best practice in
business intelligence, which is a lot of little pockets of analytical activity around the organization ‐
not connected, no vision of what you could do with it at all. I sometimes call this the Aleutian Island
strategy: There are a lot

What Makes A Successful Business Analytics Program? Essay
Now, in this presentation, my topic is What does research tell us about how to create a successful
business analytics program? And What realistic expectations should we have concerning the
predictive capability of business analytics.
At the end of 20th century, Fortune magazine published an article named "Why CEOs Fail" (Charan
& Colvin 1999). It said "The problem is that our age's fascination with strategy and vision feeds the
mistaken belief that developing exactly the right strategy will enable a company to rocket past
competitors. In reality, that's less than half the battle". Does anyone know what's the missing half?
Actually, developing the capability to execute on a winning strategy is the missing half of the
equation. Periods after this article came out, I mean the beginning of 21st century, the technology of
information and data has developed day by day.
In the 2012 IBM CEO study, 73 percent of CEOs indicated that they were making significant
investments in their organizations' ability to draw meaningful customer insights from available data
(IBM 2012). As a mission–critical system, the CEO now expects analytics to provide information at
the fingertips of the teams that run the business. It shows the importance about translating business
strategy into actionable plans of achievement, and this is also today's topic.
And firstly I will introduce the definition of business analytics.
Two related articles demonstrate that Business Analytics (BA) refers to the

Business Intelligence ( Bi ) And Business Analytics
Business intelligence (BI) and business analytics (BA) (sometimes used interchangeably) has
revolutionized the way businesses use data and can be contrasted, for the purpose of this essay, in
the following way: BI is raw data that has been transformed into meaningful information that
provides historical, current, and predictive views of business operations and environment, and BA
uses data and statistical methods to provide actionable information for decision makers. BI explains
what is happening, identifies the issue, and provides decisions to be made and BA explains why an
issue is occurring, what will occur, and what actions need to be taken. At the forefront of BI/BA
technology is International Business Machines (IBM) with a very broad array of related products
and services. Among the more popular products are its flagship analytics product IBM Cognos and
its Predictive Customer Analytics. IBM's Cognos Analytics allows business and IT professionals to
prepare and distribute all types of business reports from all departments with an organization and
access pertinent information such as financial reports, sales trends, production yields, and inventory
on any device on an hourly basis. IBM also offers a Predictive Customer Intelligence solution, an
integrated software which uses automation to acquire customer information such as buying
behavior, web activity, and social media presence to model and "score" costumer behavior and
provide customized actions so that a business

Developing Business Decisions : The 10 / 90 Rule For Web...
In the life of human being, the 10/90 rule means that 10% of life is shaped by what happen to us
while rest of 90% of life is decided by our responses/actions. This implies that one cannot avoid
over 10% of what is happening to him. This is inevitable. Our reactions to what happened could
determine 90% of the outcome (Covey, 2010). This can be compared and applied to business
situations to some extent.
In spite of very huge data, reports, files, large investments made in web analytics, firms find it
difficult to make business decisions. Many business leaders underlined the need to invest in people,
but none have spelled it how much could be invested on the tools and people. Kaushik (Blog at
kaushik.net) found and developed a rule for investment on tools and analyst to solve the problems in
arriving at business decisions to become successful in business. He named it as 10/90 rule for web
analytics success.
Salient features of 10/90 rule and discussion on 10/90 rule
Goal: To get highest value when results of web analytics is applied
Cost of analytics tools & vendor professional services is to be taken as $10
Investment in intelligent resources/analyst is to be taken as $90
The ultimate reason or the success is 'The People'
This rule means that there should be an investment of $90 on human intelligent resources for every
$10 spent on the tools. Because tools do not perform much as human beings do. It is people, not
tools interpret and act upon the data and the tools only

The Availability Of New Information Management And...
The availability of new information management and supporting system like Data Warehousing,
Business Intelligence, Analytics, and/or Big Data has produced a remarkable moment in the history
of data analysis. Researching on this topic is very interesting for me. Thank Professor Kraft that
gives me opportunity to explore more on these topics. Taking this opportunity, I would like to
provide a brief summary of the book that discuss about the Profitable Data Warehousing, Business
Intelligence and Analytics. The book published by Technics Publications in July 1, 2012. I also
would like to thank David Haertzen who is an author of the book.
In the book, the author has discussed many interesting points but the three main points that I learn
and ... Show more content on Helpwriting.net ...
It involves business information and analysis that support strategic decision–making, and lead to
improved business performance. Decisions based on Business Intelligence and Analytics can impact
the bottom line by reducing cost and increasing revenues.
According to Haertzen (2012), "Enterprise Data Warehousing (EDW) is a process for collecting,
storing, and delivering decision support data for an entire enterprise or business unit". A data
warehouse is not operational data. It contains a copy of operational and other data, rather than being
a source of original data. This data is often obtained from multiple data sources and is useful for
strategic decision–making. Its purpose is not just to maintain historical data. A data warehouse
contains specific data that has been gathered for analytics and reporting. Enterprise Data
Warehousing includes people, processes, and technologies to achieve the goal of providing decision
support. The Data Warehouse contains intelligent data collections which are modeled to support the
reporting and analysis needs of the Decision Support function of the organization. So, the main key
goals of data warehouse are: Make fact based decisions, Make timely decisions, Make profitable
decisions that reduce costs and increase revenue. These decisions can support a number of
stakeholders include: Customers, Employees, Shareholders, Suppliers,

Business Analytics Program : Why Ceos Fail Essay
Business Analytics Program
At the end of 20th century, Fortune magazine published an article named "Why CEOs Fail" (Charan
& Colvin 1999). It stated that "The problem is that our age's fascination with strategy and vision
feeds the mistaken belief that developing exactly the right strategy will enable a company to rocket
past competitors. In reality, that's less than half the battle". The author argues that increasing the
capability to execute on an appropriate strategy can be regarded as the missing half of the battle.
Actually, periods after this article came out, at the beginning of 21st century, the technology of
information sharing and data collection have developed day by day.
In the 2012 IBM CEO study, there are 73% of CEOs indicated that they were trying to work out
useful consumer insights by making statistics with available data, and improve the operation's
capability to calculate a more accurate demand even if this action needs lots of investment (IBM
2012). As a mission–critical system, the CEO wishes that analytics programs can offer information
at the fingertips of the teams that run the business. This study shows the importance about
translating business strategy into actionable plans of achievement which can be achieved by creating
a successful business analytics program.
The Definition of Business Analytics.
Two related articles (Baller & Alan 2009, Galit & Otto 2010) demonstrate that "Business Analytics
(BA) refers to the skills, technologies, practices

Predictive Analytics: the Future of Business Intelligence
Predictive Analytics: the Future of Business Intelligence Introduction By M. Zaman The market is
witnessing an unprecedented shift in business intelligence (BI), largely because of technological
innovation and increasing business needs. The latest shift in the BI market is the move from
traditional analytics to predictive analytics. Although predictive analytics belongs to the BI family, it
is emerging as a distinct new software sector. Analytical tools enable greater transparency, and can
find and analyze past and present trends, as well as the hidden nature of data. However, past and
present insight and trend information are not enough to be competitive in business. Business
organizations need to know more about the future, and in ... Show more content on Helpwriting.net
...
Credit card companies try to retain their existing customers through loyalty programs. The challenge
is predicting the loss of customer. In an ideal world, a company can look into the future and take
appropriate action before customers switch to competitor companies. In this case, one can build a
predictive model employing three predictors: frequency of use, personal financial situations, and
lower annual percentage rate (APR) offered by competitors. The combination of these predictors
creates a predictive model, which works to find patterns and associations. This predictive model can
be applied to customers who are start using their cards less frequently. Predictive analytics would
classify these less frequent users differently than the regular users. It would then find the pattern of
card usage for this group and predict a probable outcome. The predictive model could identify
patterns between card usage; changes in one's personal financial situation; and the lower APR
offered by competitors. In this situation, the predictive analytics model can help the company to
identify who are those unsatisfied customers. As a result, company's can respond in a timely manner
to keep those clients loyal by offering them attractive promotional services to sway them away from
switching to a competitor. Predictive analytics could also help organizations, such as government
agencies, banks, immigration

Data Mining And Business Analytics
MIS 5375 580 SU15
Data Mining & Business Analytics
Midterm Exam Summer 2015 by Tamma Shanthipriya
A00128661
DATA MINING AND BUSINESS ANALYTICS
Data Mining is the computerized acknowledgment of diverse patterns in extensive data sets that are
past analysis. It utilizes diverse mathematic algorithms to locate the right information as well as
foresee the probability of future events. Some key properties that I learned in this topic are:
discovery of useful patterns
predictions of their future outcomes
analysis on larger datasets
useful data from them With increasing data the storage of the data must also be increased, which is a
problem. So, data is stored or recorded in the form of computer data bases which makes easy to
access the right data at any given point of time. To extract the right data from all these present
volumes of data, usually certain traditional way of data analysis like regression analysis, cluster
analysis, numerical taxonomy, multi–dimensional analysis, time series analysis , estimation outcome
analysis and many more are used.
Both data mining and data analysis are a subset of Business Intelligence which also includes data
management systems, data warehouses and Online analytic processing(OLAP). To manage the
mountains of information, the data is put away in a warehouse of information accumulated from
different sources, including corporate databases, compressed data from interior frameworks, and
information from outer

Personal Narrative: The Business Analytic Foundations
Early in my management career, I had what I thought was a great strategy that I thought would
increase my customer satisfaction scores. I invested months in the idea and I was deeply
disappointed when it had no effect on my results. I could not understand how something that I
worked so hard on and had invested so much time in would fail so badly. When I spoke to my
manager about it, he told me something that I have never forgotten; if you are going in the wrong
direction more speed and effort does not help you get to your destination. I learned that while
anecdotal information was important for context, smart strategies were data based.
This lesson changed how I managed my results and I have worked hard over the years to ensure I
use data to accurately measure the performance of my teams and to devise strategies to achieve my
goals. In my role as the Operations Director at an Executive Search firm, I was tasked with
managing our offshore operations. This created a unique challenge since traditional management
techniques of observation were ineffective when managing a team on the other side of the planet. I
discovered the intricacies of Excel to spot areas of opportunities that most managers would rely on
observation. This reliance on data analysis resulted in a highly successful operation that was able to
detect early risks to avoid revenue ... Show more content on Helpwriting.net ...
I am looking forward to sharing ideas with other managers in my position facing similar difficulties
and the Marketing Analytics course will provide the skills required to work more effectively with
my marketing partners. My future plan is to move into a role with more emphasis on data analysis or
management at a higher level, so The Web Analytics for Business and Enterprise Risk Analytics
courses will help me move to the next step in my

Strategic Implementation Of Business Intelligence Tools...
INTRODUCTION "Technology creates visibility across the business, and enterprise–wide
operational practices are essential to optimal efficiency and effectiveness. The strategic
implementation of business intelligence tools and analytics, along with cross–departmental
alignment, can transform data into meaningful, useful information for critical analysis. Proactive
and investigative BI reporting techniques can help recognize new business opportunities and provide
firms with a competitive industry advantage." – Scott Lundstrom, group vice president and general
manager of IDC Financial, Government and Health Insights (Sungard, 2014a). In today's
competitive world every company is trying to be better than its rivals. The traditional ways of
enhancing business decisions for marketing, advertising, launching new ventures or products are
long gone which included important decisions being taken by top–level managers based on their
intuition and instincts. Present times need a drift from those traditional days and this is where
Business Analytics comes in wherein managers can make better decisions, so rather than going with
their gut when pricing products, maintaining inventory, or hiring talent, managers would use data,
analysis, and systematic reasoning to make decisions that improve efficiency, risk–management, and
profits. With massive development that has gone into the technology enormous amount of data is
being generated as data is not restricted to files, pdf anymore, but GPS

Business Analytics : Can It Be A Source Of Competitive...
Business Analytics : Can it be a source of competitive advantage to firms? INTRODUCTION In
today's economically turbulent times, every company is trying to be better than its rivals. Every
other firm is trying to gain a strategic position in the marketplace which would give them a
sustainable competitive advantage, nevertheless temporary competitive advantage over its rivals.
With immense competition between the firms who are trying to outperform one another, managers
are always under a scanner as it is they who have to come up with a strategic or innovative thinking
which will allow the firm to be ahead of competitors in the marketplace. The entrepreneurial
perception of strategy makers has a direct influence on corporate entrepreneurial (CE) strategy,
which is the strategy that supports new business development and renewal (Startegypaper8). The
writers concluded in the paper by saying that since perceptions of managers have a direct influence
on the type of strategy, i.e. explorative or exploitative they take, managers are biased towards
following one of the paths more often than another in situations or environments that seems familiar,
munificent, controllable, uncertain, turbulent or complex to the managers. The traditional ways of
enhancing business decisions for marketing, advertising, launching new ventures or products are
long gone which included important decisions being taken by top–level managers based on their
intuition and instincts. Present times need 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.

The Between Analytics And Business Intelligence Essay
Company's current position and ability to compete on analytics: I had worked for a healthcare
delivery organization whose mission is to enhance the quality of life through improved health,
prepare future health care professionals and discover new medical knowledge through research. It is
the only Academic Medical center in the region and enjoyed a monopoly for quite some time. With
the passage of the Affordable Care Act, the payment model changed from Fee for Service to
Bundled payments. The organization was challenged to lower the cost of providing healthcare
services without compromising quality of care or research. It had to invest heavily on implementing
Electronic Medical Records and systems for reporting to regulatory agencies and insurance
companies. The table below highlights the differences between Analytics and Business Intelligence.
Note that the organization is in the early phase of implementing BI solutions. Analytics
Optimization What's the best that can happen? Predictive modeling What will happen next?
Forecasting/extrapolation What if these trends continue? Statistical Analysis Why is this happening?
Business Intelligence Alerts What actions are needed? Query/drill down Where exactly is the
problem? Ad hoc reports How many, how often, where? Standard reports What happened? The
sections below go into greater detail about how organizations can use analytics as a competitive
weapon to introduce new goods and services and support existing ones. The four

Business Analytics : Marketing Paper Essay
Running head: BUSINESS ANALYTICS – MARKETING PAPER 1
BUSINESS ANALYTICS – MARKETING PAPER 2
Name
Institutional Affiliation
Google is a large technology firm based in America. It focuses on services and products related to
internet search, online advertising, and cloud computing. The company?s founders, Larry Page and
Sergey Brin, started the company on 4th September 1998 (Google, 2016). Google first listed on the
public stock exchange on August 19, 2004, with an initial public offer of 19,605,052 shares of Class
A common stock, at a price of $85 per share (Google, 2016). The world highly anticipated Google?s
initial public offering and the initial market capitalization was $23 billion. The price earnings ratio
then was $ 80 (Ritter, 2014). As of May 2016, Google?s market capitalization stood at $ 82.5
billion. This paper analyzes Google?s performance in the American stock exchange.
Analysis
Google is best–known for pioneering the search engine revolution and providing internet users of
the world with a means of searching and finding information at the click of a button. Nearly 70% of
the world 's queries pass through Google?s search engine, and 80% of the world?s smartphones run
on Android, an operating

Analytics Software Is Essential For Any Business
In this modern era, analytics software is essential for any business. It helps to understand different
ways to reach target audience and drive traffic to the website. Google analytics is one of the easiest
ways to achieve this. Especially helpful for the small business owner as it is free and easy to use,
hence no need to employ IT personnel. It provides both general statistics and minutiae in detailed,
comprehensive reports. Google analytics does not show how business is doing without some
additional setup. Setup the goals in Google analytics, so that it can to keep track of what's critical to
the business. Its comprehensive metrics, non–exhaustive data, and easy–to–use interface make it an
invaluable resource for businesses in nearly ... Show more content on Helpwriting.net ...
It will also show a breakdown of which browsers are used and how frequently. This feature is useful
because sometimes web features are incompatible with certain browsers and operating systems. If a
significant chunk of visitors are using a system that doesn 't suit the designed website, it might be
time to redesign the site framework as per the users.
EVENT TRACKING
Events are user interactions with content that can be tracked independently from a web page or a
screen load. Downloads, mobile ad clicks, gadgets, flash elements, AJAX embedded elements, and
video plays are all examples of actions that business owners might want to track as events.
This feature tracks how many visitors clicked on ads and which signup form they use to subscribe to
newsletter. It provides the insights of how well each of them performs like who checks social media
profile, who gets on RSS feed. Based on those percentages business owners can choose what kind of
ads to display on the sidebar, their positions, or what signup form performs best and gives more
subscribers.
CUSTOM ALERTS
Google alerts act as a kind of watchdog for anomalies in data. Google analytics alerts work to let us
know of deviations from regular data trends that occur. The main point of alerts is to notify when
something out of the norm happens. If traffic tanks and business owners are not watching analytics
reports daily, an alert can help quickly notify in the event of traffic loss. When setting threshold
limits, make

Business Appraisal Through Social Media Analytics
Business Appraisal through Social Media Analytics
Introduction:
Social media has changed the business models of many organizations in engaging their customers to
develop relationship with their products and services. Social media is also used to build their brands
and maintain customer loyalty. Following figures gives an idea about scale of social media.
According to searchengingewatch.com, worldwide 1.43 billion people had visited a social
networking site in the year 2011. Facebook marketing infographic, world wide out of 8 people
nearly every one person has their own Facebook page. In the year 2011, one million new user
accounts were added in twitter everyday. Nielsen social media report of the year 2012 reveals that
65 percent of social media users had said that they use social media to know more about products,
services and brands.
Industry experts believe that social media has potential of driving incremental revenue and fuel
future business. Many small organizations are going for outsourcing social media programs to PR
agencies and larger organizations having in–house department, which is closely observed by top
management of the organizations. Social media analytics can be boost to mainly to retail sector for
collecting and analyzing large amounts of data to predict impact of overall business.
Statement of the Problem:
To analyze social media data, which is very semi–structured and in unstructured manner, social
media analytics need advanced techniques to get

The Pillars Of Analytics Scale
to 4 on the Pillars of Analytics scale (Davenport & Harris 36), Hero has some room for
improvement based on acceptance by the entire resource group. At this point, 20% of the Hero team
can dynamically use the analytics we currently offer. For example, 2015 was the first year that we,
as an operations and sales team, had a dynamic forecasting plan. We took the top customers making
up 80% of our annual revenue and projected out their volume by SKU, by month and kept a rolling
12 months of inventory planning based on each customer's growth objectives. Putting this plan
together resulted in an out of stock liability improvement of 15% and actual sales were within 1% of
budget projections. This project, a huge jump in our planning procedures, was completely facilitated
by three people in our organization that employs over fifty people. The issues above directly tie in to
the second pillar of Enterprise Wide Analytics. Although all departments have access to dynamic
analytical systems, most have zero interest in utilizing it. There have been several missed
opportunities for growth on analytical competition from the Operations side of the business.
However, with the success of the 2015 and 2016 forecasting models, the senior managers are
working to align efforts and optimize standard operating procedures that rely heavily on analytical
tools. This proven performance is slowly raising the bar for Senior Management commitment.
Although there is work to be done in respect to each of

Examples of Defining Business Value for BI and Analytics...
Research Publication Date: 26 September 2011 ID Number: G00218934 Examples of Defining
Business Value for BI and Analytics Initiatives Bill Hostmann There are different ways of measuring
the business value of business intelligence (BI) and analytics initiatives. The definition of "business
value" depends on whether it is being evaluated by IT or the business organizations. The business
values cited by the top 10 finalists in the 2011 Gartner BI Excellence Award program are used to
provide examples of a model defining the dimensions and categories of business value. Key
Findings The measures of business value for BI investments must be defined from an IT and a
business perspective. The measures of business value are ... Show more content on Helpwriting.net
...
To the business organizations, investments in BI information and technology are necessary, they're
enablers, and they contribute to delivering business value, but not the end measure of value. The
business measures of BI value are necessarily stated in business (rather than
technology/information) terms and include statements regarding BI investments that contribute to
the organization's performance visibility and alignment, agility and efficiency of making decisions,
or level of business transformation enabled. The business value of software and associated
skills/service investments is the sum of both tangible and intangible business values. "Business
value" means defining a mix of both quantitative as well as qualitative dimensions. Most business
cases rely heavily on the quantitative and financial information required for justification, and most
organizations building business cases do not wander far from quantitative measures and methods.
They often do not put a value on the qualitative/intangible business benefits, partly because IT does
not have the skills or process knowledge/intimacy to define and evaluate intangible business value
measures. Many quantitative assessments of business value are based on some major assumptions
that are not certain. One option is to propose conservative, moderate and aggressive estimates for
the business value. There are different ways of measuring the business value of BI, analytics and

Essay On Business Analytics And Business Intelligence
Business Intelligence VS Business Analytics
Business Intelligence is needed to run the business while Business Analytics are needed to change
the business. – Pat Roche, Vice President of Engineering, Noetix Products
Introduction
Business intelligence and analytics (BIA), a term coined in 1989, has gained much reaction in the IT
practitioner community and academia over the past two decades. BIA refers to: (1) the technologies,
systems, practices, and applications that (2) analyze critical business data to (3) help an enterprise
better understand its business and market (research paper).
Traditionally, business intelligence (BI) has been used as an umbrella term to describe the concepts
and methods to improve business decision making by using fact–based decision support systems. BI
also includes the underlying architectures, tools, databases, applications, and methodologies. BI's
major objectives are to enable interactive and easy access to diverse data, enable manipulation and
transformation of these data, and provide business managers and analysts the ability to conduct
appropriate analyses and perform the actions [Turban et al. 2008; Wixom et al. 2011]. Successful BI
initiatives have been reported for major industries, from healthcare and airlines, to major IT and
telecommunication firms [Anderson–Lehman et al. 2004; Carte et al. 2005; Turban et al. 2008].
As a datacentric approach, BI heavily relies on the various advanced data collection, extraction, and
analysis

Business Outcomes With Ibm Big Data Analytics
Data analytics has drastically changed how business operate on a day–by–day basis. It can make or
break a business. It involves "exploring huge volumes of data to provide greater insight and
intelligence, and doing so quickly." (Efraim Turban. Linda Volonino. Gregory R. Wood., 2013)
According to the Better Business Outcomes White Paper that was published by IBM, IBM observed
that the planet was becoming more instrumented, interconnected, and intelligent about five years
ago. Twenty thousand engagements later, though not it doesn't say how many years later, IBM has
gained critical knowledge of how big data analytics can improve conditions for organizations in
nearly every industry. (Better business outcomes with IBM Big Data & ... Show more content on
Helpwriting.net ...
The reporting process, which was the great majority of business intel, addressed only the past, and
not the future. When social networks and internet–based firms gained traction, this would be the
start of Analytics 2.0, the era of big data. In this phase, business quickly learned that the need for
powerful tools and profit became apparent. Companies went to build new things to acquire
customers. Eventually, the data was so massive that it couldn't fit on just a single server, the data
was processed with either Hadoop or NoSQL. The scientists for Analytics 2.0 were called data
scientists, and they had both computational and analytical skills. Eventually, those same scientists
wanted to work on new product offerings and redefine the business. Analytics 3.0 is where larger
organizations started to follows suit. If a company makes, moves, consumes things, or works with
customers, there will be an increasing amount of data on those activities. With this said, everything
leaves a trail, and the company has the ability to analyze that data for the benefit of the customers
and the markets. All in all, Analytics 3.0 brings new challenges. A large corporation such as Walmart
would take advantage of such opportunities that Analytics 3.0 brings. Walmart's journey from its
inception in the 1960s as a discount retailer to the behemoth that it is today is

Business Intelligence And Marketing Analytics Essay
Blogs / job portals / special interest groups take on BI and BA
Business intelligence and business analytics... aren't they the same thing?Or are they describing
opposite processes?There are a lot of big words that get thrown around in the world of BI, and it's
easy to get lost in a whirlwind of interpretation.The diversity of opinion reflects the fluidity of how
we understand the defining language of the field.It also demonstrates that in business intelligence,
one term can mean different things to different people, depending on their business focus and their
perspective.Though it is commonly called the BI field, the number of Google searches for "business
analytics" have risen sharply in the past 10 years vs. a mild decline for "business intelligence"
(google).
I went through various blogs and special interest groups that are formed around these two terms i.e.
business intelligence and business analytics. One common thing that I found is that most of them
consider business intelligence and analytics as distinct but connected tools. They described business
intelligence as a tool that provides a way of amassing data to find information primarily through
asking questions, reporting, and online analytical processes. On the other hand, business analytics
take advantage of statistical and quantitative data for explanatory and predictive modeling. Analytics
focuses on solutions–oriented capabilities which create value and convert information into
knowledge. Moreover, both business

Analysis & Case On Use Of Business Analytics Framework
"Moneyball" Analysis & Case Study on the Use of Business Analytics Framework"
Dheeraj Dwivedi
School of Professional Studies, Northwestern University, Spring 2016, Section 58 "Moneyball"
Movie Analysis & Case Study on the Use of Business Analytics Framework "Moneyball" movie is
about the war between intuition and statistics. I would start my analysis with one of the many
interesting quotes in the movie. "The problem we 're trying to solve is that there are rich teams and
there are poor teams, then there 's 50 feet of crap, and then there 's us. It 's an unfair game. And now
we 've been gutted. We 're like organ donors for the rich. Boston 's taken our kidneys, Yankees have
taken our heart. And you guys sit around talking the same old "good body" nonsense like we 're
selling jeans. Like we 're looking for Fabio. We got to think differently. We are the last dog at the
bowl. You see what happens to the runt of the litter? He dies." (Moneyball movie, 2011)
This movie centers on the character of Billy Beane, general manager of Major League Baseball's
Oakland Athletics. In the movie, Billy couldn't re–sign Oakland's best 3 players after the 2001
season due to having a payroll a fraction of A's competitors. He was facing a challenge of building a
new team with a limited payroll and to accomplish this he needs to have a competitive strategy.
While restructuring the team, he meets heavy resistance from his scouts, who argue that their years
of baseball experience and

Benefits Of Big Data Analytics On Business Performance
The benefits of big–data analytics on business performance
"Why Big–Data Is a Big Deal". Big–data is a logo used to describe a massive volume of both
structured (is information already managed by the organization in relational databases ) and
unstructured data (is information that is unorganized and does not fall into a pre–determined model)
that is so large it is difficult to process using traditional database and software techniques. In most
companies, the volume of data is too big or it moves too fast or it exceeds current processing
capacity. Despite these problems, big–data has the potential to help companies improve operations
and make faster, more intelligent decisions.
Moreover companies that implement Big–data analytics application gain tangible benefits in their
finance department, sales department, and human resources department. Financial statements (i.e.
Balance Sheet, Cash Flow, and income statement) are the summarized results of the company's
operations. To produce those statements, large volumes of structured and nanostructured data which
come from multiple heterogeneous sources must be swiftly linked, connected, and correlated.
However, those activities can't be done by using traditional databases. For that reason, the company
implemented an advanced technology called big–data analytical tool (Business Object). For
example, Financial Statements must be displayed on the CEO dashboards instantly all the time. To
be able to achieve his requirement, Business

Business Intelligence Vs. Business Analytics
Business Intelligence VS Business Analytics
"Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on
a freeway." – Geoffrey Moore, author and consultant.
Introduction
Business intelligence and analytics (BIA), a term coined in 1989, has gained much reaction in the IT
practitioner community and academia over the past two decades. BIA refers to: (1) the technologies,
systems, practices, and applications that (2) analyze critical business data to (3) help an enterprise
better understand its business and market (research paper).
Traditionally, business intelligence (BI) has been used as an umbrella term to describe the concepts
and methods to improve business decision making by using fact–based decision support systems. BI
also includes the underlying architectures, tools, databases, applications, and methodologies. BI's
major objectives are to enable interactive and easy access to diverse data, enable manipulation and
transformation of these data, and provide business managers and analysts the ability to conduct
appropriate analyses and perform the actions [Turban et al. 2008; Wixom et al. 2011]. Successful BI
initiatives have been reported for major industries, from healthcare and airlines, to major IT and
telecommunication firms [Anderson–Lehman et al. 2004; Carte et al. 2005; Turban et al. 2008].
As a datacentric approach, BI heavily relies on the various advanced data collection, extraction, and
analysis technologies [Turban et al.

How Analytics Helps An Organization Optimize Their...
Introduction
Analytics is defined, according to online–behavior.com, as the "process of obtaining an optimal or
realistic decision based on existing data." [1]. Davenport and Harris (2007), defined analytics, as the
"extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and
fact–based management to drive decisions and actions." [2]. An article titled Outsmart the
Competition by Jackie Zack in Teradata Online magazine states that "analytics can help an
organization optimize their business processes to make them effective as possible." [3]. It is a
proven fact that proper use of analytics can lead an organizations to success, providing them with
that distinctive advantage over their competitors. In ... Show more content on Helpwriting.net ...
In Jamaica, its headquarters, Digicel controls 70 percent of the mobile phone market and hopes to
actively dominate the cable TV and internet broad band market. The secret behind Digicel's success
is that it has a devoted business intelligence and analytics group and a marketing department
responsible for analyzing critical consumer data gathered from market surveys and market research.
Digicel's success can be attributed to the fact that the company is able to determine customers touch
points by knowing exactly what customers want or desire from a mobile phone provider. The use of
analytic tools have helped Digicel achieve this position, which is having the ability to predict and
know what customers want and anticipate their next purchase moves. For example, Digicel has just
branched into the cable TV and internet broad band market. The reason for this diversification is as a
result of extensive market analysis of the cable TV and internet broad band market which currently
has only one major player (Flow Cable Company) with a poor customer satisfaction rate. Digicel
was able to capitalize on this opportunity because of the data gathered from customers that showed
that they desired better cable and internet broad band service. The company has applied the use of
analytics and quantitative approaches in areas such as primary consumer surveys, concept
development testing, advertising testing,

Business Analytics Implementation Plan Paper
ARGOSY UNIVERSITY
Business Analytics Implementation Plan
Professor: Michelle Barnes
Submitted by: Eyong E.
Date: 10/29/2014
The latest technological development in data analytics and implementation helps organizations gain
insights and how to deal with informed decisions.
Table of Contents
The Business 2
How analytics helps 3
Disadvantages 4
Types of Business Analytics 5
Figure 2 5
The Implementation Process 6
Planning 6
Figure 3 7
Implementation 8
Figure 4 8
Processes Involved 9
Backup Proposal 11
Reference 12
The Business
The concept of Business analytics is a component of business intelligence, it has evolved in recent
years and now in the for front center of business. With the growth of technology and the continuing
improvement ... Show more content on Helpwriting.net ...
Despite the complex nature of a system or building a system, there are a several other ways to obtain
the same information needed for decision making. If this is so cumbersome for management, I will
recommend that management looks for means to outsource analytics. Outsourcing is a lot more

affordable. You have agencies that have readily deployable solutions. This will be resourceful at the
early stage but it will always be necessary to take ownership in the long term.
Combining quantitative and qualitative data to evaluate the balance of data ensures the
understanding of information. If the company can focus its attention on the quantitative and
qualitative studies will help identify issues and obtain information on some variables that could
match organizational goals. With this method, the company will combine independent data and
interpret it for conclusion. Reference
Foster Provost and Tom Fawcett. Big Data, Data Science and its Relationship to Big Data and Data–
Driven Decision making," http://online.liebertpub.com/doi/full/10.1089/big.2013.1508
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data http://www–
01.ibm.com/software/data/infosphere/hadoop/hbase/
Manager, research & analytics center, Large publically traded insurance company http://www.mu–
sigma.com/analytics/platforms/overview.html
Marzano, R. J. 2003. What Works in Schools. Alexandria,Va.:Association

Google Analytics : An Objective For Any On Line Business...
Google Analytics: –
Analytics software is crucial for any on–line business; it helps you perceive ways in which to
succeed in your audience and drive traffic to your website. Google Analytics is one among the best
ways to try this and is particularly useful for the everlastingly busy small business owner or the on–
the–go bloggers. Google Analytics permits you to access each general statistics and trivia in careful,
comprehensive reports. And in fact, it includes all the essential specifics, like what percentage
visitors you are obtaining, and allows you to refine your data according to date.
Business owners who haven 't nonetheless transitioned to on–line advertising and selling have to be
compelled to do thus as a result of they 're missing out plenty of potential sales and to expand their
business. It 's time that these businesses just apprehend the advantages of Google Analytics to assist
grow their small business ("How Your Small Business Can Benefit from Using Google Analytics",
2016).
1) Tracking SEO campaigns
Google Analytics assist's businesses keep track of search engine optimization (SEO) campaigns for
you. Once you need to draw in new customers to your on–line business, you would like to use
Google Analytics to maximize your results. There are tools you 'll use to assist you to establish how
well your SEO campaign can run. Start watching the monthly statistics see however well your
campaign is coming back on before you check up on a year to year statistics.
2)

Current Business and Technology Conditions That Complicate...
Current business and technology conditions that complicate effective application of business
analytics to business intelligence and knowledge management data, and the prospects for
improvement
Businesses have collected data for many years. Most of the data they collect has been for historical
purposes, such as how much of an item has sold and what are the profits gained from those sales.
Business intelligence allows one to take that data, manipulate as you see fit and generate reports.
The data then has to be extracted and trends analyzed so that businesses can find more opportunities
and new customer segments. This is known as business analytics. However that may sound simple,
there are current business and technology conditions ... Show more content on Helpwriting.net ...
Scott Staple (2009) claims that the culprit for this is the term "business intelligence" due to how
companies are using it to develop their tools. The software companies are basically telling
businesses that the software tools they have created will automatically gather intelligence to run
their business. However, these tools are very good for things like reporting, data mining, creating
dashboards, etc., this is still all data and not information. This is because business intelligence
traditionally focuses on using a consistent set of metrics to both measure past performance and
guide business planning.
Business analytics on the other hand, as defined on Wikipedia (2012, Aug 06) "refers to the skills,
technologies, applications and practices for continuous iterative exploration and investigation of past
business performance to gain insight and drive business planning." It goes on to state that, "Business
analytics focuses on developing new insights and understanding of business performance based on
data and statistical methods." This is in contrast to business intelligence and stated above. Business
intelligence answers questions such as what happened, , how often, how many, where the problem
is, and what needs to happen next. Business analytics answers questions like why is this happening,
what if these trends continue, what might

Preventing Theft Is Just The Tip Of The Iceberg
Data Privacy – Preventing Theft is Just the Tip of the Iceberg.
Many people have started to become aware of the issues of data security and identity theft, but what
they should really be worried about is the way data is used legally. The following talks about data
gathering and gives 5 examples of how this data can be used for, or against you. Although the
examples are local in nature, they are being replicated on a global scale. If you live in the modern
world, then you will eventually be impacted.
Big Brother: Chinese social credit score
China has always been known to keep tight control over its population through media control, and
the judicious application of social pressure. A dossier is maintained for every citizen, which ... Show
more content on Helpwriting.net ...
This is a particularly clever and insidious form of Orwellian control. It is the people around you who
willingly help by apply the pressure to make you conform (Hatton, 2015 & Stanley. 2015 & Yap,
Wong,. 2015).
Data Gathering: You are the Product.
Google: Most people have no clue as to the sheer scope and volume of data being collected.
Mention you are having money problems in your Google mail account and you might get credit
counseling ads. Visit medical site and you might start getting medical ads. All this information is
available for sale. Where you shop, what you buy, everything you have ever written and perhaps
read. This data can be used to extrapolate personal information you would never expose directly. I
would never allow anyone to open my mail. Why is it legal for them to open my email.
Other sources: Everyone it seems is into the data gathering business, banks, credit cards, search
engines, operation systems etc.. It 's big money and everyone wants in on the action.
Data Analytics: Profiling Customer
Data analytics involves the study of data for a group of people. They extract historic patterns in the
computer data like purchases, web sites, credit scores, social media posts etc. This data comes from
a myriad of sources as listed above. Using these patterns they can create profiles for these groups
and identify new members and predict their

Four Major Challenges In Analytics And Business Intelligence
Analytics and business intelligence (BI) are not new concepts in the market place, but the
exponential growth of offerings, lower total cost of ownership (TCO), and simplified deployment
options have made these solutions a necessity for modern businesses. Some customers continue to
use a comprehensive stack of a database, extract–transfer–load (ETL) tools, an analytics engine, and
a reporting interface from a single vendor, placing much of the burden on IT to keep operations
running and produce reports. However, many businesses are finding success with a different model
based on smaller–scale deployments of self–service or embedded analytics and data discovery tools
directly to end users.
In speaking with customers, Nucleus ... Show more content on Helpwriting.net ...
Simpler deployments and function–specific vendor offerings have made customers more
comfortable with the idea of multi–application BI stack, incorporating best–of–breed products to
meet business needs.
Split into Two BI Camps. Nucleus found that vendors took one of two approaches to meet customer
needs and innovate existing products. Mature vendors with long market history and loyal, legacy
customer bases focus on functionality and well–developed products. They adopt a "functionality
first" approach to BI, opting to rely on performance as the driving factor for success with a lesser
focus on usability.
The second group of vendors are mostly younger companies that entered the market in the past ten
years. These vendors often have a "usability first" approach to BI, and offerings may have limited
functionality–instead focusing on easy deployments and high usability.
Free Desktop Versions. Critical to the success of many vendors are free desktop versions of the
product, with customers noting that users working with free versions were a major reason they
selected a vendor for enterprise–scale deployments. These vendors offer enterprise licensing when
customers want to expand across the business. For end users, this model allows them to test drive
the product without going through a formal licensing process. Some customers said that
departmental deployments led to business–wide deployments

My New Career Choice Becoming A Police Officer
When I was little, I wanted to be the first woman president of the United States. I was the kid that,
instead of going off to summer camp, chose to watch the United States senate on c–span all summer.
As I matured, I quickly realized how invasive and cruel politics can be to people, not just candidates
but to voters. For this reason, my focus shifted to becoming a police officer. However, after finding
out that I have fibromyalgia a couple years before that, I realized it was going to be extremely
difficult for me to be at 100% as a police officer. My new career choice became business analytics.
My goal is to get a degree in business analytics so that I can get help businesses like Microsoft
impact lives of millions, or businesses like ... Show more content on Helpwriting.net ...
I also failed that semester, my gpa dropping below what was required. So, I took some time off from
school to figure things out and make myself better. Now, it's time for me to go back to school so I
can put in the work and finally achieve my goals. Learning is not for the lazy. I'd like to think of
myself as adaptable. However I have been known to procrastinate a time or two. Because I like to
procrastinate, I make sure that once I receive something to do that involves a deadline, I get it done
first before anything else. Once I complete a task, occasionally I'll reward myself with Chinese food
for dinner instead of cooking, or going to a movie. I've found that this helps keep me motivated.
Another thing that keeps me motivated is looking at the big picture. I want to have a degree and get
a high paying job. This will take me 4–5 years minimum. My options are: do nothing and be
disappointed at myself when five years flies by and I'm still working at the post office, or I can stop
being complacent and do what it takes to get the degree to get the job. I refuse to look back in
disappointment and this is what keeps me going. My family and friends also do a good job at
motivating me to succeed. I'll be the first in my family to get a degree from a college, so my mother
and sister are very supportive and I've been privileged enough to meet a handful of people I'd like to
consider close friends who also encourage me and keep me in my

A Report On Business Analytics
Business Analytics is a field that is becoming popular in the business world as the year's progress.
There is always something new in the world of business to help improve companies and their sales.
The success of using analytics to help develop a company is encouraging others to join this way of
studying data to make decisions that will benefit the profit of the company. The increased use of
data to increase sales, revenue and to help make business decisions is a large part of the sports
industry. For years, teams have used analytics to make decisions on what players to draft, positions
to place players in, as well as many other parts of the game. Analytics has been a large part of not
only game play, but also for the business aspects ... Show more content on Helpwriting.net ...
Business analytics is helping businesses decide where to invest, increase profit and make the most
out of their company based on data that is collected and analyzed. As described in the article, The
New World of Business Analytics, "business analytics can be defined as the broad use of data and
quantitative analysis for decision–making within organizations" (4). The use of this type of research
is developing new insights and understanding of the performance of a business. Through the
increase in data analysis, companies are able to make decisions based on the information that they
have received and studied. Observing analytics can be thought of as, "thinking differently, asking
questions, and never being satisfied with doing things the way they have always been done."
(Analytics, Not Statistics, Driving NHL Evolution) As a field that is requiring more researchers,
business analytics is becoming a popular field of study at many universities because of the increased
need of employees by companies because of the success rate of business analytics techniques.
Analytics is observing statistics and finding the meaning behind those statistics. Companies and
students in the business field know the "increased importance of quantitative analysis of data for
understanding, prediction and optimization." ("The New World of Business Analytics", 2) The
collection of data is one of the most important steps in the analytics process because without

Problems And Exercises. 1. Business Analytics Focuses On

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