Data Collection and Analysis for Making Business Decisions

This assignment focuses on demonstrating the knowledge of data collection & storage techniques. It covers the collection of primary and secondary data, survey methodology, and sampling used in research. It also includes the analysis of 12-month sales of two main lines of Kitchen Designs, measures of dispersion, and computation of quartile, percentile, and correlation coefficient.

BUSINESS DECISION-
MAKING

Table of Contents
INTRODUCTION...........................................................................................................................4
1.1 Collection of primary and secondary data.............................................................................4
1.2 Survey methodology and sampling used in research.............................................................5
1.3 Designing of questionnaire....................................................................................................6
TASK 2............................................................................................................................................7
2.1 Summarizing 12 month sales of two main lines of Kitchen Designs....................................7
2.2 Analyzing the results of mean, mode and median.................................................................8
2.3 Assessing measures of dispersion..........................................................................................9
2.4 Computation of quartile, percentile and correlation co-efficient...........................................9
TASK 3..........................................................................................................................................11
3.1 Graphical presentations........................................................................................................11
3.2 Trend line for forecasting future..........................................................................................14
3.3 Business presentation...........................................................................................................17
3.4 Formal business report.........................................................................................................26
TASK 4..........................................................................................................................................27
4.1 Information processing tool to manage inventory...............................................................27
4.2 Preparation of project plan stating critical path...................................................................28
4.3 Examining the viability of the project through capital budgeting.......................................31
CONCLUSION..............................................................................................................................32
REFERENCES..............................................................................................................................34

INTRODUCTION
In the corporate sector, the role and responsibilities of the managers got increased over
the years as they devise plans, strategies & decisions and align all these with the set corporate
targets. Moreover, with the changing market conditions, managers also make internal as well as
external analysis and modify plans accordingly to raise long-term profitability and assure
sustainable growth. Kitchen Design Ltd is a well known contemporary kitchen installation
distributor organization that sells wide range of products & services such as utensils, cabinets &
others. Now, in order to widen its goods portfolio, company is planning to explore opportunities
by introducing bathroom design & equipments. Thus, the present assignment focuses on
demonstrating the knowledge of data collection & storage techniques. Along with this, skills &
tools required to analyse useful business information will be presented for making excellent
business decisions.
1.1 Collection of primary and secondary data
On the basis of cited case situation, Kitchen Design Ltd offers unique goods, utensils and
cabinets to the customers. Now, with the aim to enhance productivity and profitability business
unit is planning to offer bathroom equipments or products to the customers. The rationale behind
this, with the rise in disposable income, now living standard of people increased with the very
high pace. Hence, in this context, business entity has chance to capitalize such opportunities and
thereby fulfill organizational aims and objectives (Alexakos and et.al., 2016). In this regard,
researcher has gathered data from both primary and secondary sources to assess customer’s
preferences and attitude towards bathroom equipments in the following way:
Primary data collection: Primary data refers to those which are gathered by scholar for the
first time with the aim to address research issue or purpose. Such database is highly effectual
which in turn offers clear and specific information in accordance with the problem which is
going to be investigated. There are several methods that can be undertaken by scholar for the
collection of primary data namely interview, survey, observation, focus group etc (Prada-
Ramallal, Takkouche and Figueiras, 2016). All these methods are highly effectual which in turn
enables firm to gather suitable primary data. In this, to get information about customers needs,
wants and expectation about bathroom equipments survey will be conducted by scholar. Hence,
researcher will prepare questionnaire by including both close and opened questions in relation to

product, price, place as well as promotion. Thereafter, scholar will send such questionnaire to the
30 customers of Kitchen Design Ltd. In this way, by following such process scholar will collect
primary data.
Secondary data collection: Secondary data implies for the one which has already been
gathered and published by other scholars. Books, journals and scholarly articles are the main
secondary sources that can be undertaken by scholar for the collection of secondary data (Van
Nieuwenhuysen and et.al., 2016). Hence, to gather information about the trend of bathroom
equipments and customer behavior towards it secondary data has been gathered by scholar
through the means of scholarly articles and government report. Such sources enable researcher to
assess the kind of bathroom equipments that are available in the market. Besides this, data also
has been gathered by the scholar from books to generate information about customer purchasing
behavior and attitude. By using such information scholar would become able to present fair
solution of issue to the significant level.
1.2 Survey methodology and sampling used in research
Survey methodology: It entails the overall framework or strategy which will be employed
by researcher to conduct investigation. It is the tool which in turn provides high level of
assistance to the researcher in gathering data more effectively and efficiently (Pritchard, Moura
and e Silva, 2016). In order to gather primary data online survey will be conducted by scholar on
30 existing on Kitchen Design Ltd. It is the most effectual method of conducting which in turn
provides high level of assistance to the researcher in gather data within the suitable time frame.
In this regard, researcher will primarily acquire the mail id of customers and thereby send online
questionnaire to them. Hence, by following all such steps researcher will gather primary data and
thereby presents the extent to which people have interest in relation to purchasing of innovative
bathroom equipments.
Sampling Frame: Subset of the population which having same characteristics is known
as sample. Further, sample selection is one of the main aspects of survey which in turn helps
researcher in conducting investigation in the best possible way (Alyahya and Rowe, 2016).
Moreover, due to having limited time researcher is not in position to conduct investigation on

whole population. Further, limited financial resources are other main aspects that have direct
impact on investigation and its outcome. In this way, sample helps in determining faster results
by saving both time and money. In this regard, by making use of probabilistic and non-
probabilistic techniques researcher can determine suitable sample size. Probabilistic techniques
imply for the one in which each customer of Kitchen Design Ltd gets equal chance to being
selected as sample such as simple random, systematic, stratified and cluster. On the other side,
non-probabilistic may be defined as one in which researcher selects sample by considering the
research aims and objectives namely quota, convenience and judgment etc. In the present study,
to get information about customer’s preference simple random sampling technique has been used
by scholar. Hence, by employing such technique 30 customers of Kitchen Design Ltd has been
selected by scholar. In this way, by conducting study on such people scholar can assess the kind
of bathroom equipments which are preferred by the customers.
1.3 Designing of questionnaire
Demographic information
Name ,……
Age ………..
Income …….
1. Do you prefer to make purchase of cooking equipments from ‘Kitchen Design Ltd’?
 Yes ()
 No ()
2. Are you satisfied from the quality of kitchen equipments which are offered by the firm?
 Satisfied ()
 Highly satisfied ()
 Neutral ()
 Dissatisfied ()
 Highly dissatisfied ()
3. Do you agree that products of kitchen design Ltd offers high value for money?
 Agree ()
 Strongly agree ()
 Disagree ()
 Strongly disagree ()

 Neither agree nor disagree ()
4. From the following factor which one has high level of impact on your decision while making
purchase of bathroom equipments?
 Quality ()
 Uniqueness ()
 Price ()
5. Which promotional means have impact on your awareness and purchasing decision?
 Social media ()
 Newspaper ()
 Television ()
6. Do you want to make your bathroom stylish?
 Yes ()
 No ()
8. Would you prefer to purchase bathroom equipments from Kitchen Design Ltd?
 Yes ()
 No ()
9. How much do you ready to pay for bathroom equipments?
……………………………………………………………………..
8. Do you want to give any recommendation for further improvement (Kindly specify)
TASK 2
2.1 Summarizing 12 month sales of two main lines of Kitchen Designs
Sales figures of two main lines of Kitchen Design Ltd from January to December are as follows:
Months Country (000 £) Minimalist (000 £)
January 90 430
February 80 360
March 130 350
April 170 350
May 240 320
June 280 330
July 290 310

August 310 300
September 300 300
October 180 370
November 140 400
December 90 420
Computation of mean, mode and median
Particulars Country ( in 000 £)
Minimalists ( in 000
£)
Mean 191.667 353.333
Standard Error 25.4901 12.9295
Median 175 350
Mode 90 350
2.2 Analyzing the results of mean, mode and median
Mean, mode and median are the most effectual statistical tools which in turn helps in
extracting valuable information from large data set. Moreover, mean provide deeper insight
about average figure of data set. On the other side, mode entails the figure that occurs on a
repeated basis. In addition to this, median implies for the mid value of data set (Özdemir, 2016).
In this way, by making evaluation of all such aspects business entity can take suitable decision
which aid in the growth and success of firm.
Outcome of statistical analysis shows that average sales of country and minimalists
capital line accounts for £191.67 & £353.33. On the other side, sales amount generated by firm
during 12 months from country and minimalists line on a repeated basis are related to £90 and
£350. Further, 50% of sales of both the lines are in relation to £175 and £350. Hence, by
considering all such aspects it can be said that average and median sales are highly similar
(Calculation of mean, mode and median, 2012). Thus, by placing emphasis on promotional
aspects company can enhance sales to the significant level. In addition to this, it can be stated
from analysis customers like to purchase appliances which are offered by Kitchen Design Ltd.

2.3 Assessing measures of dispersion
Measures of dispersion includes wide range of techniques such as standard deviation,
range and inter-quartile range which in turn helps in assessing the extent to which distribution is
squeezed (Yadav and et.al., 2016). This in turn enables firm to take corrective action and makes
contribution in the achievement of organizational aims and objectives.
Calculation of standard deviation, range, inter-quartile range
Particulars Country ( in 000 £)
Minimalists ( in 000
£)
Standard Deviation 88.3005 44.7891
Sample Variance 7796.97 2006.06
Kurtosis -1.7403 -0.8866
Skewness 0.12726 0.50859
Range 230 130
Minimum 80 300
Maximum 310 430
Sum 2300 4240
Count 12 12
Inter-quartile range 167.5 47.5
Tabular presentation shows that standard deviation of country and minimalists line is
£88.30 & £44.79. It shows that in the upcoming time period sales revenue of country line will
deviate to the large. Thus, Kitchen Design Ltd needs to make framework by considering such
aspect. Further, minimum and maximum sales revenue of country line implies for £80 and £310.
On the other side, minimum and sales revenue which is generated by firm in past 12 months
from minimalists’ line was £300 & £430. Thus, by considering the overall trend it can be stated
that company needs to make focus on the improvement on the sales revenue of country line.

2.4 Computation of quartile, percentile and correlation co-efficient
Quartile divides whole data set into four quarters and thereby furnishes provide
information about trend. By this, business unit can assess the sales and profit generated by it in
each quarter (Alexakos and et.al., 2016). On the other side, percentile indicates the value which
is falls below a given percentage of observation. Hence, quartile and percentile are similar to
each other, only percentage aspect differentiates each other.
Calculation of quartile
Particulars / Lines Country (in £ ‘000) Minimalist (in £ ‘000)
Quartile1 120 317.5
Quartile 2 180 350
Quartile 3 287.5 365
The above mentioned table shoes that sales revenue of country line of Kitchen design in
1st and 2nd quarter was £120 & £180 respectively. Along with this, in third quarter sales revenue
of business unit was £287.5. Hence, sales revenue of Country line of Kitchen design increased in
each quarter. On the other side, sales of Minimalists line inclined from £317.5 to £365 at the end
of third quarter (Calculating Measures of Dispersion, 2014). Hence, by considering such aspects
it can be said that sales revenue level of Minimalists line was high as compared to Country.
Calculation of percentile
Particulars / Lines Country (in £ ‘000) Minimalist (in £ ‘000)
25th Percentile 120 317.5
50th Percentile 180 350
75th Percentile 287.5 365
Correlation co-efficient: This measure of statistics helps in determining the relationship
between two variables. There are mainly three kind of relationship which takes between two
variables such as positive, negative and moderate (Shevlyakov, G. and Smirnov, 2016).
Correlation can said to be positive only when both the variables move in same direction. On the
other side, negative correlation is when one variable moves upward and other goes downward. In
contrast to this, moderate correlation may be defined as one in which one variable does not have
high impact on another.
Pearson correlation co-efficient

Calculation of correlation co-efficient
Particulars Country Minimalist
Country 1 -.86
Minimalists -.86 1
By applying statistical measures, it has been assessed that negative correlation takes place
between country and minimalist line of Kitchen Design Ltd in terms of -.86. Hence, sales aspect
of both country and minimalists will move in opposite direction. Thus, Kitchen Design Ltd needs
to keep in mind such aspect while framing competent and strategic policy framework.
TASK 3
3.1 Graphical presentations
In businesses, visualization presentation is of great importance to present things very
clearly and effectively. As a result, directors & managers can devise excellent plans & policies
for deriving success in the future years. In accordance with the given scenario, Kitchen Design
Ltd has 4 product categories that are Victorian, Budget, Wetroom & Sauna. All the product’s
sales for the last four years, ranging from 2012 to 2015 has been presented hereunder
constructing various graphs:

Victorian Budget Wetroom Sauna
0
1
2
3
4
5
6
7
8
Column grph for all the products
(Amount In million)
Figure 1 Column graph for all the products
2012
21%
2013
24%
2014
27%
2015
28%
Victorian
Figure 2 Pie diagram for Victorian's sales

2012 2013 2014 2015
5.4
5.6
5.8
6
6.2
6.4
6.6
6.8
7
7.2
Budget
Amount in million
Figure 3 Line graph for Budget's sales
2012
2013
2014
2015
0 0.5 1 1.5 2 2.5 3
2.5
2.3
2.2
2
Bar Graph of Wetroom
Wetroom
Figure 4 Bar graph for Wetroom's sales

2012 2013 2014 2015
0
0.5
1
1.5
2
2.5
3
3.5
3
2.75
2.5
2
Sauna
Sauna
Figure 5 Column graph for Sauna's sales
Interpretations
From various graphs, it can be seen that although Victoria’s sales has been growing up
consistently, still, the rate of growth in sales resulted down in the year 2015 as it was increased
by 0.3m only less than that of previous year. On the contrary, Budget’s sales showed a faster
growth till 2014 came to 6.9m but afterwards, sales have been increased by 0.1m only. It may be
caused due to declined in demand, higher charges, economic slowdown, substitute products
offering at cheaper rates and change in consumer preferences (Selvanathan, Selvanathan and
Keller, 2014). In despite, both the other product’s turnover shows a declined trend. As per the
graph, it can be seen that Wetroom & Sauna’s sales dropped down from 2.5m & 3m to an equal
value of 2m in the last year 2015. Poor quality of the product and introduced new products that
have unique features and qualities may be the reason behind declined sales performance (Weiss,
2015).
After viewing & analyzing the results, Board of Directors can be advised to negotiate
with the suppliers so as to produce all the kitchen equipments at lower charges. With the help of
this, they, can set affordable & economical prices for the consumers, and as per law of demand,
lower prices will maximize aggregate consumer demand. In addition, discounting offers, best
quality through quality management techniques like Total Quality Management, Six Sigma can
be used to serve superior quality products audiences & satisfy their expectations. Further,
marketing, advertisement & promotional policies can be used to generate consumer traffic &

thereby drive more sales.
3.2 Trend line for forecasting future
Forecasting is also an imperative managerial function that is typically used to estimate
that what will happen in the future. Trend line is one of the best graphical way to anticipate that
whether sales will grow upward of downward in the following years. Referring the stated
scenario, for Kitchen Designers Ltd, trend line for all the items are constructed here as under:
2011 2012 2013 2014 2015 2016
0
1
2
3
4
5
6
f(x) = 0.44 x − 881.24
R² = 0.987755102040812
Victorian
Victorian
Linear (Victorian )
Figure 6 Trend line for Victorian's sales

2011 2012 2013 2014 2015 2016
5.4
5.6
5.8
6
6.2
6.4
6.6
6.8
7
7.2 f(x) = 0.36 x − 718.31
R² = 0.939130434782608
Budget
Budget
Linear (Budget )
Figure 7 Trend line for Budget's sales
2011.5 2012 2012.5 2013 2013.5 2014 2014.5 2015 2015.5
0
0.5
1
1.5
2
2.5
3
f(x) = − 0.16 x + 324.41
R² = 0.984615384615376
Wetroom
Wetroom
Linear (Wetroom )
Figure 8 Trend line for Wetroom's sales

2011.5 2012 2012.5 2013 2013.5 2014 2014.5 2015 2015.5
0
0.5
1
1.5
2
2.5
3
3.5
f(x) = − 0.325 x + 656.95
R² = 0.965714285714255
Sauna
Sauna
Linear (Sauna )
Figure 9 Trend line for Sauna's sales
Interpretations:
From the carried analysis, it has been founded that trend line for Victorian & Budget
products shows an upward trend. It demonstrates that in the following years after 2015, Kitchen
Design Ltd will sell either more quantity of both these products or offer service to more
audiences. Thus, it is a sign that aggregate market demand for both these kitchen equipments will
grow up, as a result, it will generate larger traffic and more yield (Siegel, 2016). However, on the
other side, if we look at the trend line of Wetroom & Sauna, then it is founded that trend line
shows an downward slope indicating that in the forthcoming years, these products sales will be
dropped down either due to fall in demand, loss of consumer, new product inventions by the
competitors at cheaper rates & competitive pressure (Li, Critchley and Zhang, 2016). On the
basis of it, it can be advised to Kitchen Design ltd to devise plans & policies to retain existing
consumer & attract more audiences. Quality management and assurance system, effective quality
products, setting right prices for the offerings are the most appropriate ways that will drive
success to the organization.

3.3 Business presentation

3.4 Formal business report
To: Board of Directors
Kitchen Design Ltd
From: Marketing Consultants
Date: 10th February 2017
Introduction:
This formal business report aims at attracting the attention of the top-level managers on
the previous performance of the company along with forecasting of future trends.
Methodology:
In order to make internal analysis of the business sales of its product portfolio, for the
historical 4 years, graphs has been constructed following bar, pie, line & column graph.
However, for the future prediction, trend line on scatter diagram has been constructed.
Analysis & discussion:
 After making analysis, it has been founded, that Victorian & Budget’s turnover shows a
rapid growth till 2014 & in 2015, it grown up at lower rate. However, on the other side,
Wetroom & Sauna’s sales show a consistent decrease over the years may be due to
inferior quality goods, high charges, less demand & substitute products availability at
lower rates.

 Trend analysis founded that Victorian & Budget’s sales will grow up in the following
years. In contrast, Wetroom & Sauna’s turnover will be decrease due to consistent
decline in the historical 4 years.
Conclusion:
On the basis of the report, managers must be recommended to improve product quality &
revise its pricing strategies to set prices economically for generating traffic. Moreover,
advertisement, promotional plans & discounting offers might be helpful for it to enhance its
audience base and thereby maximize sales to an upper extent.
TASK 4
4.1 Information processing tool to manage inventory
As per the scenario, in order to cope up with the projected growth from diversification, to
improve consumer service & overall business process, Kitchen Design Ltd planned to implement
a new Management Information System (MIS).
MIS: It is extremely important for the business so as to record large set of data, store &
integrate all the reports of various functions so as to get summarized reports for making rational
decisions (Kivinen and Lammintakanen, 2013). MIS is a computerized information system, in
which, Kitchen Design Ltd will maintain all information regarding production, sales, marketing,
inventory & others in computer and use the same for the decision-making purpose.
Enterprise Resource Planning: It is also a best technique that is used for inventory
management and financial reporting purpose. It accumulates large set of data and provides
information about the beginning item in stock, its sell & remainder balance helps to maintain
effective inventory management for meeting out audiences demand timely (Leon, 2014).
Decision – Support system (DSS): It is greatly helpful for the top management like
directors, managers and executive to generate summarized reports & analyze the same for
making qualitative decisions.
4.2 Preparation of project plan stating critical path
In accordance with the scenario, Kitchen Design Ltd has planned for the MIS
implementation. Thus, the critical path & gantt chart of the proposed plan has been prepared here
as under:

Task Name Duration Start Finish Predecessors Early
Start
Late
Finish
Early
Finish
Late
Finish
Total
Slack
Obtain estimates
for New MIS 6 days Fri
2/10/17
Fri
2/17/17
Fri
2/10/17
Fri
2/17/17
Fri
2/17/17
Fri
2/17/17
0
days
Reconfigure
communication
cable as
necessary
3 days Mon
2/20/17
Wed
2/22/17 1 Mon
2/20/17
Fri
2/24/17
Wed
2/22/17
Fri
2/24/17
2
days
Staff selection
& appointment 2 days Fri
2/10/17
Mon
2/13/17
Fri
2/10/17
Fri
2/17/17
Mon
2/13/17
Fri
2/17/17
4
days
Office
rearrangement 5 days Mon
2/20/17
Fri
2/24/17 1 Mon
2/20/17
Fri
2/24/17
Fri
2/24/17
Fri
2/24/17
0
days
Testing of
communication 5 days Tue
2/14/17
Mon
2/20/17 3 Tue
2/14/17
Fri
2/24/17
Mon
2/20/17
Fri
2/24/17
4
days
Induction &
Instruction for
new system
users
5 days Tue
2/14/17
Mon
2/20/17 3 Tue
2/14/17
Fri
3/10/17
Mon
2/20/17
Fri
3/10/17
14
days
Sites re-wiring 6 days Mon
2/27/17
Mon
3/6/17 2,4,5 Mon
2/27/17
Mon
3/6/17
Mon
3/6/17
Mon
3/6/17
0
days
Set up of new
computer links 4 days Tue
3/7/17
Fri
3/10/17 7 Tue
3/7/17
Fri
3/10/17
Fri
3/10/17
Fri
3/10/17
0
days
Install new
hardware 4 days Tue
3/7/17
Fri
3/10/17 7 Tue
3/7/17
Fri
3/10/17
Fri
3/10/17
Fri
3/10/17
0
days
Test new
hardware 3 days Mon
3/13/17
Wed
3/15/17 6,7,8,9 Mon
3/13/17
Wed
3/15/17
Wed
3/15/17
Wed
3/15/17
0
days
Test new system 3 days Thu
3/16/17
Mon
3/20/17 10 Thu
3/16/17
Mon
3/20/17
Mon
3/20/17
Mon
3/20/17
0
days
Gantt chart: It is used to determine starting or beginning date of each prospective

activity along with their closing and finishing date (Hammouch, Medromi and Sayouti, 2015). It
provides a framework that exhibit that which activity needs to be finished prior before others.
Network diagram: This is used to identify critical duration reflects minimum duration to
complete the project of MIS implementation.
Critical path/duration: Activity 1 + 4 + 7 + 8 + 9 +10 + 11

= 6 + 5 + 6 + 4 + 4 + 3 + 3 days
= 30 days
Interpretations:
Looking to the results, it is clear that Kitchen Design Ltd will need a time period of 30
days to implement MIS in the operations. At all the critical activities, there will be zero slack or
float, therefore, it must be focused by the managers that all these activities must not be delayed
otherwise, MIS implementation project will take more time to finish.
4.3 Examining the viability of the project through capital budgeting
Capital budgeting are the financial tools or techniques that is often applied by the
investors on their prospective long-term capital investment plans because they require huge
investment, henceforth, good & rational decisions can bring success otherwise substantial loss
may occur.
Net present value: NPV is the most superior way or discounted technique of capital
investment that computes current or today’s value of cash inflows by giving proper value to the
currency’s time value (Baum and Crosby, 2014). Afterwards, its total is deducted from the initial
cost of capital to determine net profit, termed as NPV.
Internal rate of return: Another discounting method of assessing & evaluating project
feasibility is to find out IRR which equals the present value of cash inflows with that of
beginning cash outlay (Götze, Northcott and Schuster, 2015).
With the stated scenario, two projects, Supplier A & Supplier B at an initial outlay worth
0.9m and 1.2m are available to Kitchen Design Ltd. Both the systems are considered as an entry
level ERP system for integration of various business functions & operations.
Year Supplier A
(£’000)
Supplier B
(£’000)
Discounted
factor @ 10%
Present
value (A)
Present
value (B)
2017 250 300 0.9091 227.27 272.73
2018 300 350 0.8264 247.93 289.26
2019 350 375 0.7513 262.96 281.74
2020 375 400 0.6830 256.13 273.21
2021 400 425 0.6209 248.37 263.89

Total present value of cash inflows 1242.67 1380.82
Less: Initial investment (In 000s) 900 1200
Net present value (NPV In 000s) 342.67 180.82
Year Supplier A (£’000) Supplier B (£’000)
Beginning investment -900 -1200
2017 250 300
2018 300 350
2019 350 375
2020 375 400
2021 400 425
IRR 23% 15%
Interpretations:
According to the results founded, it can be suggested to Kitchen ........’s directors that
MIS investment alternative A is most appropriate ones. Therefore, company must propose and
accept this proposal. The reason behind suggesting this proposal is that it has maximum NPV of
34,267,000 & highest IRR of 23%, in contrast, B project has less NPV worth 18,082,000 at a
greater IRR of 15%. Therefore, by accepting 1st investment proposal, Kitchen Design Ltd can
generate highest yield and maximize net return.
CONCLUSION
From the above report, it has been concluded that researcher of Kitchen Design Ltd

gathers data from primary and secondary data sources. Further, it can be revealed from the report
that by using measures of dispersion business unit can take suitable decision by evaluating the
large data set in a highly structured way. It can be seen in the report that in the near future sales
of Victorian and budget product will rise in the near future. Besides this, it has been articulated
that Kitchen Design Ltd needs to make promotional aspects which in turn helps company in
enhancing sales revenue to a great extent. It can be inferred that tools and techniques of
investment appraisal provides high level of assistance in making suitable decisions.

REFERENCES
Books and Journals
Alexakos, C. and et.al., 2016. ERMIS: Extracting Knowledge from Unstructured Big Data for
Supporting Business Decision Making. In IFIP International Conference on Artificial
Intelligence Applications and Innovations (pp. 611-622). Springer International
Publishing.
Baum, A.E. and Crosby, N., 2014. Property investment appraisal. John Wiley & Sons.
Berenson, M. and et.al., 2013. Basic Business Statistics: Global Edition. Pearson Higher Ed.
Götze, U., Northcott, D. and Schuster, P., 2015. Capital Budgeting and Investment Decisions. In
Investment Appraisal. Springer Berlin Heidelberg. pp. 3-26.
Kivinen, T. and Lammintakanen, J., 2013. The success of a management information system in
health care–A case study from Finland. International Journal of Medical Informatics,
82(2), pp.90-97.
Leon, A., 2014. Enterprise resource planning. McGraw-Hill Education.
Li, H., Critchley, L.A. and Zhang, J., 2016. Does using two Doppler cardiac output monitors in
tandem provide a reliable trend line of changes for validation studies?. Journal of
clinical monitoring and computing. 30(5). pp.559-567.
Özdemir, D., 2016. Measures of Dispersion. In Applied Statistics for Economics and Business
(pp. 51-72). Springer International Publishing.
Prada-Ramallal, G., Takkouche, B. and Figueiras, A., 2016. Diverging Conclusions from the
Same Meta-Analysis in Drug Safety: Source of Data (Primary Versus Secondary) Takes
a Toll. Drug Safety. pp.1-8.
Pritchard, J. P., Moura, F. and e Silva, J. D. A., 2016. Incorporating social network data in
mobility studies: Benefits and takeaways from an applied survey methodology. Case
Studies on Transport Policy. 4(4). pp.279-293.
Selvanathan, S., Selvanathan, S. and Keller, G., 2014. Business Statistics: Australia/New
Zealand. Cengage Learning.

Shevlyakov, G. and Smirnov, P., 2016. Robust estimation of the correlation coefficient: An
attempt of survey. Austrian Journal of Statistics. 40(1&2). pp.147-156.
Siegel, A., 2016. Practical business statistics. Academic Press.
Van Nieuwenhuysen, J. P. and et.al., 2016. 25-year prospective long-term follow-up of primary
and secondary root canal treatment: preliminary descriptive data analysis of success and
failure. International Endodontic Journal. 49(1). p.106.
Weiss, N.A., 2015. Introductory statistics. Pearson.
Yadav, S. K. and et.al., 2016. Use of Non-Conventional Measures of Dispersion for Improved
Estimation of Population Mean. American Journal of Operational Research. 6(3).
pp.69-75.
Hammouch, H., Medromi, H. and Sayouti, A., 2015, October. Toward an intelligent system for
project management based on the multi agents systems. In Intelligent Systems: Theories
and Applications (SITA), 2015 10th International Conference on. IEEE. 15(6). pp.1-6.
Alyahya, K. and Rowe, J. E., 2016, September. Simple Random Sampling Estimation of the
Number of Local Optima. In International Conference on Parallel Problem Solving
from Nature (pp. 932-941). Springer International Publishing.
Online
Calculating Measures of Dispersion. 2014. [Online]. Available through:
http://www.doe.virginia.gov/testing/solsearch/sol/math/A/m_ess_a-9_2.pdf. [Accessed on
10th February 2017].
Calculation of Mean, Mode and Median. 2012. [Online]. Available through: <
http://www.lboro.ac.uk/media/wwwlboroacuk/content/mlsc/downloads/mean_median_m
ode.pdf>. [Accessed on 10th February 2017].