Table of Contents Introduction . 2 Summary of the business . 3 Benefits and disadvantages of Business Analytics . 3 Challenges that the organization may face using business analytics. 5 Business Analytic Techniques That the organization Can Use . 6 The Implementation Plan . 7 Backup plan . 8 Conclusion . 8 References . 9 Introduction Analytics refers to discovering, interpreting and communicating important patterns in collected data. Analytics has been used in organizations since exercises in managements were put into place by Frederick Winslow Taylor in the late 19th century. Today, with the introduction of computers in day to day running of businesses, organizations and most of the institutions, the use of analytics has been brought to a whole new level. These consequential patterns can help in decision making in different scenarios. Business analytics refers to the proficient use of technologies in continuously exploring and investigating past business performance so as to make inferences and help in business planning and decisions. Predictive modeling and statistical methods are extensively utilized to help the management in making this decision. Business analytics are applicable in a wide range of business and organization scenarios to help in making management decisions. Business analytics has been changed the way businesses look at their key indicators of performance. The business analyst has responsibilities in the following areas: They help in identifying the technical actions that would address a certain situations, also supports in delivering the business strategies. They help in defining procedures they will use in organizations. They help in supporting the implementations and operations of strategic plans. They refine the techniques once they have implemented in order to tolerate changes while ensuring continued alignment with the business strategy. Business Description The firm is involved in the design. Design firms make designs to clients to meet their (clients) needs. The business analytics can use different methods analytical techniques. For example, the orders for particular graphic designs vary seasonally due to upcoming promotions and holiday season. The firm should use business analytics to know when in the past they experience different designing orders. The firm should use business analytics to analyze data so that it can be able to make informed decisions. The organization possesses technological equipment’s but they do have any integrated system. The business should use analytics to connect its databases for easy access and efficiency of information flow. The firm should also use business analytics to predict how the business would perform in a new environment it wishes to venture into. It would analyse all the factors that would seemingly impact its operations and success in the new environment. Benefits and disadvantages of Business Analytics Benefits Business analytics creates a better .

1. Table of Contents
Introduction
.
2
Summary of the business
.
3
Benefits and disadvantages of Business Analytics
.
3
Challenges that the organization may face using business
analytics.
5
Business Analytic Techniques That the organization Can Use
.
6
The Implementation Plan
.
7
Backup plan
.
8
Conclusion
.
8
References
.
9

2. Introduction
Analytics refers to discovering, interpreting and communicating
important patterns in collected data. Analytics has been used in
organizations since exercises in managements were put into
place by Frederick Winslow Taylor in the late 19th century.
Today, with the introduction of computers in day to day running
of businesses, organizations and most of the institutions, the use
of analytics has been brought to a whole new level. These
consequential patterns can help in decision making in different
scenarios.
Business analytics refers to the proficient use of technologies in
continuously exploring and investigating past business
performance so as to make inferences and help in business
planning and decisions. Predictive modeling and statistical
methods are extensively utilized to help the management in
making this decision.
Business analytics are applicable in a wide range of business
and organization scenarios to help in making management
decisions. Business analytics has been changed the way
businesses look at their key indicators of performance.
The business analyst has responsibilities in the following areas:
They help in identifying the technical actions that would
address a certain situations, also supports in delivering the
business strategies.

3. They help in defining procedures they will use in organizations.
They help in supporting the implementations and operations of
strategic plans.
They refine the techniques once they have implemented in order
to tolerate changes while ensuring continued alignment with the
business strategy.
Business Description
The firm is involved in the design. Design firms make designs
to clients to meet their (clients) needs.
The business analytics can use different methods analytical
techniques. For example, the orders for particular graphic
designs vary seasonally due to upcoming promotions and
holiday season. The firm should use business analytics to know
when in the past they experience different designing orders. The
firm should use business analytics to analyze data so that it can
be able to make informed decisions.
The organization possesses technological equipment’s but they
do have any integrated system. The business should use
analytics to connect its databases for easy access and efficiency
of information flow.
The firm should also use business analytics to predict how the
business would perform in a new environment it wishes to
venture into. It would analyse all the factors that would
seemingly impact its operations and success in the new
environment.
Benefits and disadvantages of Business Analytics
Benefits
Business analytics creates a better operational efficiency- A
business that uses analytics has its important information in a
manner that it can be readily available to aid in any upcoming
operation. Through Business Analytics, the organization can be
able to measure its performances in different departmental areas
and give recommendations for improvement. Proper analytics
help to create a rapid, fact-based culture to make decisions and

4. thus reducing guesswork.
Better customer service- If business analytics are properly
executed, they give a better response to customer needs and
trends. They provide a better understanding of the customers'
habits, especially buying and searching characteristics.
Customers benefit as they receive better customer service which
allows them to operate more efficiently and possibly gain a
competitive advantage.
Profit optimization- Predictive modelling and statistical
methods techniques help the business to make much more
informed investment decisions which have a high profitability
chance. Data collected gives the business an insight of what
would happen if they choose to make one decision at the
expense of the other, and analysing which investment decision
would be more profitable.
Disadvantages
High initial investment- the business will have to incur high
initial costs of laying out analytics system to help in their day
to day operations. Setting up a business analytics personnel also
means additional costs to the business. There would also be
required to have the proper technological equipment, to analyze
large amounts of data. This may force a business to halt some of
its development operations to draw revenue toward installing
and implementing business analytics.
The organization should have proper financing strategies to
provide resources needed for the analytic system while ensuring
that they do not neglect their development projects.
Losses of the investment do not pay off- If the business
analytics does not pay off, the company stands to lose the high
investment of resources and time. The possibility of the
business analytics not paying off cannot be ignored.
Organizations should hire proficient business analytics to guide
them on the appropriate analytic techniques usable in their
organization.

5. There is also an issue of personnel needed to manage
implementation and maintenance of this analytics. The systems
also require regular maintenance procedures thus adding more
costs to the business.
Organizations should emphasize the proper use of the systems
to avoid regular breakdowns.
Challenges that the organization may face using business
analytics
Even if there is provision of large quantities of data, to succeed
in analytic process depends most on organization alignment and
process for the chosen analytical technique.
There are challenges that the organization may face while using
business analytics to aide in their decisions. Below are some of
the challenges and how the organization can be proactive in
addressing each of the challenges;
Strategic alignment- the organization may have some business
analytics already in place. This might create difficulties in
doing away with the old system of doing things and giving way
for the new one. There would also be a problem with the staffs
that have been conversant with the existing analytic to
appreciate the new one.
The Proper Study of the already existing analytic would help to
identify key operational areas that will have to be merged or
replaced so that the new system operates effectively.
Promptness- the organization may face the challenge of quickly
responding to an analytic request. There might be problems
involved if the business analytics does not give a response to a
decision problem quick enough to help in decision making.
Taking too much time might lead to inefficiency.
The organization should liberate its analytical capabilities; they
should pool together analysts who possess high analytic skills
into one department. This would enable much quicker insights
into demanding data insights
Availability of data- Analytic processes depends on bulky of
relevant data data. Past data on organization’s performance
should be readily available for analysis and interpretation of its

6. patterns. Analysts collect large volumes of data and then break
down to more meaningful ones that will be analyzed to give
results that can help in making decisions.
The organization should an assessment of its information
systems. Sources of data should be identified and quality
measured for both transactional and aggregated information.
Business Analytic Techniques That the organization Can Use
The firm can use time series, regression modeling and analysis,
and cluster analysis. In the use of using the regression, the
expert will create a model which will look at the different
variables (Sedddon et al., 2012). This involves several
calculation before the conclusion can be arrived at. For
example, taking organization’s scenario, the analyst may look
and analyse the customers' buying habits during different
seasons. Helpful fact about this model is that, it is very
appealing, it also uses sets of calculation and this mean it uses
the numerical data provided. One shortcoming of this technique
is that it takes a lot of time doing calculations. The second
limitation is that professionals are required to carry out this
analysis.
Time-series forecasting is the second method. This
technique allow us to predict future events using past data in
mainly collected in intervals of time. Usually graphical
representations are used in forecasting the future independence
with how the graph looks like (Liebowitz, 2013. It has two main
variables. Its advantage is that variables can be predicted at
different intervals of time. This method consumes less time.
Thirdly, we can use cluster analysis. Cluster analysis involves
dividing the provided data into small clusters. There should be
similarity within individual clusters.One advantage of this
technique is that it can be used in a wide range of variables.
This technique is also easier to use. There could be difficulties
to interpreting this clusters.
The Implementation Plan
It would be more advisable to use the regression model in our

7. case. If managers adopt the laid plan. Various steps should be
followed for an analytic system. Firstly, the staffing process
should be in such a way that the necessary staffs implement to
operate the systems are acquired. The firm having decided to
use the business analytic technique, it is important that the
management equips the firm with the necessary personnel that
can handle the technology. The firm should make sure that the
staffs needed to effectively operate the system are enough. The
staffing step should take a maximum of three weeks. After the
staffing process and the staff have been adequately oriented, the
next phase in the implementation begins. The next task is the
familiarization of the staff and the business analytic technique.
The phase will involve training from training organizations
hired by the organization. The process should take a maximum
of two-three weeks. The implementation plan will first have
some trials. After the staff has been trained, they will now go
into the records of the organization and fish out information on
past activities and performances of the organization.
The obtained data will be put together and analyzed to bring
meaningful information. The variables can be divided into
dependent and independent. The relationship between the two
can be established, and then a graph is utilized to interpret the
information, after which it is presented to the management. The
next stage is the validity phase. The management scrutinizes the
recommendations given for the use of business analytics and
decides if it is worth the risk of investment or not. The next
process is dependent upon the approval of the recommendations
above. If approved, statistical methods are used in decision
making
How these decisions affect firms determines the viability of the
BA technique. The implementation plan takes a maximum of six
to eight months.
Backup plan
If the stated plan does not succeed at any of the phases, several
stages could be changed. First of all, the technique used will be
changes. Other techniques suggested can still fit in our

8. organization. Time series technique would be used. Our designs
clients vary with time in many cases. This technique is
relevantly cheaper than regression. Since the backup plan
should not be more costly than the first one, there would be
significant reductions in expenses. The amount of time for
training of the staff will have to be reduced to one week. Due to
unsuccessful implementation of the first proposal, the backup
plan will have to take a maximum of three to four months.
Conclusion
Using past events iteratively, business analytics can help so as
to predict future outcomes. The business analytic system is
effective and usable by both the customers and the organization
to make decisions. Cluster analysis, time series, and regression
model are some of the analytical techniques used. Backup plan
should be less costly than the first proposal.
References
1. Chen, H., Chiang, R. H., & Storey, V. C. (2012) : Business
Intelligence and Analytics:
From Big Data to Big Impact.
MIS Quarterly,
36(4), 1165-1188.
2. LaValle, S., Hopkins, M., Lesser, E., Shockley, R., &
Kruschwitz, N. (2010). Analytics:
The New Path To Value. IBM Institute For Business Value.”
October.
3. Liebowitz, J. (Ed.). (2013): Big Data And Business
Analytics. CRC Press.
4.
Seddon, P. B.Constantinidis, D., & Dod, H. (2012). How Does
Business Analytics Contribute To Business Value?