Business Analysis and Planning

This presentation focuses on the analysis and planning of residential care homes in the UK. It includes the perception of people about care homes, factors affecting profitability, and the use of SPSS for data analysis. The presentation also discusses the implementation of data collection strategies and various techniques used for data analysis.

Business Analysis and
Planning

INTRODUCTION
• Residential care homes number are growing consistently in the UK. In the current report
perception that people have about residential care homes is measured and impact of
varied factors on its profitability is measured. In this regard descriptive analysis, thematic
analysis and regression analysis is done in the report and results are interpreted. At end
of the report significance of use SPSS for analysis of data is explained in detail.

Implementation of data collection strategy
from primary and secondary sources
• Primary data will be taken from sample of 50 people. Different questions related to research objectives
will be ask from them and their opinion on same will collected.
• Secondary data will be collected from research papers that are published in Journals.
• It can be said that both data collection strategy are best suited to the requirements. As primary data is taken from reliable sources and
appropriate strategy is followed to collect data. In same secondary source is appropriately used to gather data and in this way perfect
data collection strategy is developed in the business (Zimmerman, Murillo-Sánchez and Thomas, 2011).
• However, data collection alone is not sufficient because when same is gathered there is probability that there may be lots of mistakes in
the data. Many times respondents answer one question accurately but answer other interlinked answer inaccurately. In order to solve
this problem after collection of data same will be analysed and it will be identified whether response given by respondents are accurate.

Complex range of techniques to analyse data
In order to analyse data number of techniques can be used. It depend on the research objectives that which
sort of data one takes for analysis purpose. Objective of undertaking present research study are given below.
• To develop broad understanding of residential care home business.
• To identify issues that people have in residential care homes.
• To identify factors after considering which people finally make decision in respect to selection of residential care
homes.
• To find out impact of occupancy rate on earning of profit in business.

Techniques used for analysis of data
• Thematic analysis: In order to analyse data thematic analysis method will be used and under this results
obtained from different respondents will be analysed. In this regard, pictorial presentation of facts will be
done and it will be identified that in which direction respondents are giving response to asked question.
• Positive and negative response can be received from sample units and all of them will be reveal in charts.
Hence, it can be said that tables will give better picture of what people think about residential care
homes.

Do you know about residential care homes?
Doyouknowaboutresidentialcarehomes
Frequen
cy
Percent Valid
Percent
Cumulativ
e Percent
Valid
Yes 50 90.0 90.0 100.0
No 0 10.0 10.0 0.0
Total 50 100.0 100.0
• Facts are reflecting that out of 50
respondents there are 50
respondents that know about
residential health care services. It
can be said that all respondents
are well aware about care homes.

Family environment in residential care homes motivate people to take their
services?
Familyenvironementandperception
Frequ
ency
Percent Valid
Percent
Cumulat
ive
Percent
Valid
Strongly
agree 15 30.0 30.0 30.0
Agree 14 28.0 28.0 58.0
Neutral 9 18.0 18.0 76.0
Disagree 8 16.0 16.0 92.0
Strongly
disagree 4 8.0 8.0 100.0
Total 50 100.0 100.0
• Family environment in residential
care home motivate people to take
its service as there are 30%
strongly agree, 28% agree, 18%
are neutral followed by 16% are
disagree and 8% are strongly
disagree with same statement.

In residential care home there is lack of
trained staff and care takers
lackoftrainedstaffandcaretakers
Frequ
ency
Percent Valid
Percent
Cumulat
ive
Percent
Valid
Strongly
agree 20 40.0 40.0 40.0
Agree 8 16.0 16.0 56.0
Neutral 8 16.0 16.0 72.0
Disagree 9 18.0 18.0 90.0
Strongly
disagree 5 10.0 10.0 100.0
Total 50 100.0 100.0
• There is a lack of proper trained
staff in residential care home. This
is proved from the fact that 40%
are strongly agree, 16% are agree
and 16% are neutral followed by
18% are disagree and 10% are
strongly disagree with same
statement.

Time to time checking is done by care
takers in residential care home
Timetotimecheckingisbycaretakers
Frequ
ency
Percent Valid
Percent
Cumulat
ive
Percent
Valid
Strongly
agree 22 44.0 44.0 44.0
Agree 9 18.0 18.0 62.0
Neutral 6 12.0 12.0 74.0
Disagree 9 18.0 18.0 92.0
Strongly
disagree 4 8.0 8.0 100.0
Total 50 100.0 100.0
• Time to time checking of patients
is done as 62% are favoring
statement and 20% are against
same statement and 12% are
neutral.

Do your family members are satisfied from service given to you by residential
care home?
Satisfactionfromservice
Frequ
ency
Percent Valid
Percent
Cumulat
ive
Percent
Valid
Strongly
satisfied 20 40.0 40.0 40.0
Satisfied 13 26.0 26.0 66.0
Neutral 8 16.0 16.0 82.0
Dissatisfied 6 12.0 12.0 94.0
Strongly
dissatisfied 3 6.0 6.0 100.0
Total 50 100.0 100.0
• 66% respondents are satisfied and
16% are neutral followed by 18%
are dissatisfied from statement
that family members of relevant
people are satisfied from
residential care homes.

You will like to recommend residential care home to other people where you
currently is admitted?
recommendresidentialcarehome
Frequ
ency
Percent Valid
Percent
Cumulat
ive
Percent
Valid
Strongly
agree 21 42.0 42.0 42.0
Agree 15 30.0 30.0 72.0
Neutral 6 12.0 12.0 84.0
Disagree 5 10.0 10.0 94.0
Strongly
disagree 3 6.0 6.0 100.0
Total 50 100.0 100.0
• 72% respondents like to recommend care
home services and 12% respondents are
neutral as well as 16% respondents are
disagree with same statement. Hence, it
can be said that majority of respondents
recommend care home service.

In current time period occupancy rate is high in residential care
home. Do you agree?
Levelofoccupancyrate
Frequ
ency
Percent Valid
Percent
Cumulat
ive
Percent
Valid
Strongly
agree 27 54.0 54.0 54.0
Agree 13 26.0 26.0 80.0
Neutral 4 8.0 8.0 88.0
Disagree 5 10.0 10.0 98.0
Strongly
disagree 1 2.0 2.0 100.0
Total 50 100.0 100.0
• 80% of respondents are agree with
fact that level of occupancy rate
increase in residential care centers
and there are 8% respondents
which are neutral followed by
12% are dissatisfied from same
statement. Hence, in future
demand of centers will increase.

Earning of profit is highly affected by occupancy rate and people satisfaction
level about services?
ImpactoffactorsonEarningofprofit
Frequ
ency
Percent Valid
Percent
Cumulat
ive
Percent
Valid
Strongly
agree 27 54.0 54.0 54.0
Agree 16 32.0 32.0 86.0
Neutral 4 8.0 8.0 94.0
Disagree 2 4.0 4.0 98.0
Strongly
disagree 1 2.0 2.0 100.0
Total 50 100.0 100.0
• 86% respondents believed that
occupancy rate and other factors
have impact on people satisfaction
level. 8% are neutral and 6%
respondents are disagree on same
statement. Hence, there are
multiple factors that have impact
on profit earned by care centres.

Descriptive statistics
• Descriptive analysis is the one of the most important technique that can be used for analysis purpose in the research projects. Under
descriptive statistics variable can be analysed in multiple ways like by using mean average value can be identified and by using mode
number that frequently comes in the variable can be identified.
• Similarly, extent to which respondents response deviate can be identified by using standard deviation value. This means that descriptive
analysis is the one of the most important method that can be used for analysis of variables. Descriptive analysis tools can used and
applied on all variables in respect to which data is collected.
• Useful information can be developed about people preference and satisfaction level they have from the residential home services.
Mangers response will help in measuring that on average basis what is the percentage of occupancy rate in the business. It can be said
that descriptive analysis is the one of the important technique and it must be used in order to measure viability of market.

Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Doyouknowaboutresidentialcarehomes 50 1 2 1.10 .303
Familyenvironementandperception 50 1 5 2.44 1.296
lackoftrainedstaffandcaretakers 50 1 5 2.42 1.430
Timetotimecheckingisbycaretakers 50 1 5 2.28 1.400
Satisfactionfromservice 50 1.00 5.00 2.1800 1.25666
recommendresidentialcarehome 50 1 5 2.08 1.226
Levelofoccupancyrate 50 1 5 1.80 1.088
ImpactoffactorsonEarningofprofit 50 1 5 1.68 .935
Valid N (listwise) 50

Interpretation
• Mean value and standard deviation in case of people knowledge about residential care home is 1.10(0.303) and
same is 2.44(1.296) in case of family environment and mean value in case of lack of training staff is
2.42(1.430).
• All these facts reveal that family environment matter a lot in selection of residential care centre and less
availability of training staff is one of major current issue faced by RC home. This interpretation is supported by
standard deviation values given above.
• People agree with the fact that occupancy rate is high and multiple factors affect profitability as mean value and
standard deviation for both variables is 1.80(1.088) and 1.68(0.935).

Regression
• It is one of the common method that is used to identify relationship between dependent and independent variables. Under this method some
of the variables can be identified as dependent and independent variables. For example factors that are considered by people while selecting
any resident care home can be taken as independent variable and selection of resident care home can be taken as dependent variable.
• By using regression method it can be identified whether there is significant mean difference between dependent and independent variables.
It can also be find out that with change in independent variable what percentage change can be observed in dependent variable. Thus, it can
be said that regression is the one of the most important technique that can be used for analysis of data in present research study.
• There are number of assumptions that need to be fulfilled in respect to regression method. These assumptions are homogeneity of errors
and removal of outlier from data set as well as absence of multicollinearity from dataset. Thus, it can be said that regression is the one of the
most important technique that can be used in analysis of data.

Interpretation
• H0: There is no significant impact of independent variables on earning of profit in business.
• H1: There is significant impact of independent variables on earning of profit in business.

Interpretation
• Value of R is 0.710 and R square is 0.504 as well as alpha value is 0.00<0.05 which means that alternative
hypothesis accepted as significant change comes in profitability level with change in occupancy rate and
satisfaction level as well as level of staff that is at workplace in residential care home. With change in
independent variables 50% change comes in dependent variable.

Interpretation
• H0: There is no significant mean difference between recommendation of RC home and other independent variables.
• H1: There is significant mean difference between recommendation of RC home and other independent variables.

Interpretation
• Value of R is 0.402 and same of R square is 0.162 which means that 16% change comes in dependent variable with change in
independent variable. Value of level of significance is 0.08>0.05 which means that with change in independent variables which
are lack of training staff, family environment and time to time checking any significant change does not comes in
recommendation that is given by one person to another about residential care home.

Use of software for analysis
• SPSS software is used for analysis purpose and under this various techniques can be applied like regression, logistic regression and cluster analysis etc. Significence of
use of SPSS software can be understand by simple example that venture capitalists while making investment in the firm also like to know about future time period.
• In this regard usually anticipation is made about future time period whether in future occupancy rate will increased in residential care homes. In this regard logistic
regression or regression can be used by the business firms by using which prediction can be made about upcoming time period whether occupancy rate will increase or
decrease for each sort of residential care home property. On the basis of output produced by logistic regression viability of business idea will be measured accurately.
Hence, it can be said that use of logistic regression will make analysis much better then before. Under logistic regression one need to determine cut-off point of
probability (10 great reasons to use IBM SPSS statistics for data analysis, 2017).
• This is because on the basis of this cut-off point it is determined whether occupancy rate will increase or decrease in upcoming time period. In order to identify cut off
point one need to perform calculation or develop chart. By default in software's like SPSS cut off point can be taken as 0.5 but it is not necessary that always cut off
point will be 0.5 as it may be above or below it. Selection of right cut off point ensured that classification will be purely done and predicted results will be accurate. So,
it can be said that by using SPSS complex calculations can be performed easily and good business decisions can be made easily.

CONCLUSION
• On the basis of above discussion it is concluded that SPSS is the one of the important tool that can
be used to analyse data in order to identify hidden facts and figures. Family environment, lack of
staff at workplace and perception that people have towards residential care homes have impact on
fact whether any person would recommend RCH name to any other person. It is also concluded
that occupancy rate and above mentioned independent variables have impact on profitability of
RCH. Hence, focus must be on increasing occupancy rate.

REFERENCES
• Smith, J.A., 2015. Qualitative psychology: A practical guide to research methods. Sage.
• Zimmerman, R.D., Murillo-Sánchez, C.E. and Thomas, R.J., 2011. MATPOWER: Steady-state operations, planning, and analysis
tools for power systems research and education. IEEE Transactions on power systems. 26(1). pp.12-19.
• Saunders, M.N. and Lewis, P., 2012. Doing research in business & management: An essential guide to planning your project.
Pearson.
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• 10 great reasons to use IBM SPSS statistics for data analysis, 2017. [Online]. Available through:<
https://www.ibm.com/blogs/analytics-zone/10-great-reasons-to-use-ibm-spss-statistics-for-data-analysis/>.