Business Decision Making: Data Analysis and Financial Ratios - Darling

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This report provides an analysis of business decision-making processes, focusing on the application of data analysis techniques. It uses Darling Ingredients Limited, a UK-based B2C telemarketing company, as a case study. The report outlines plans for collecting primary and secondary data, identifies methodologies and sampling frames, and observes various statistical tools used for data collection and decision-making. Cash flow statements and financial ratios are analyzed to assess the company's performance, and charts/graphs are created to draw inferences about the business. The analysis includes examining operating, investing, and financing activities to understand cash inflows and outflows. Key ratios like the current ratio and net profit margin are calculated to evaluate the company's financial health and liquidity.
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Business Decision
Making
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Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
Make a plan for collecting primary and secondary data. Also identify the methodology and
sampling frame to justify the collected data................................................................................3
Observe the various statistical tools and techniques used to collect data and helps in decision
making process............................................................................................................................6
Create charts and graphs (pie, bar, line) using accounting tables to make reasonable inferences
based on data about the business.................................................................................................8
CONCLUSION..............................................................................................................................10
REFERENCES..............................................................................................................................11
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INTRODUCTION
Business decision making helps in taking decision based on the previous performance and also
takes decision for the betterment and welfare of the company. It further helps in growing the
organisation by using qualitative and quantitative analysis (Direction, 2019). The following
report includes a company which deals in outsourcing and works as a tele performance of the
company. In the following case the company taken is Darling Ingredients Limited which is based
in UK and deal in B2C telemarketing company. By using cash flow statement an analysis is
performed in order to know the actual results of the company and how the cash is used within the
organisation. Also the graphs and charts are prepared to draw a conclusion of the finding of the
report.
MAIN BODY
Make a plan for collecting primary and secondary data. Also identify the methodology and
sampling frame to justify the collected data.
Collection of Data: Data collection is a medium used for collecting information which is
useful for the organisation. It is a process which consists of measuring, collecting and analysing
the information collected from various sources and finding out the outcome of the data collected.
There are various ways of collecting data which includes assimilated data in structured form and
unstructured data which is collected from secondary sources. There are mainly two types of data
collection namely primary data and secondary data (Guarana and et.al., 2022).
Primary Data: It is form of raw data which is directly collected form sources in order to
know the fulfil the requirement of the study. This information is least demanded as many of the
information is readily available and already collected. This form of data is used by researchers in
order to collect the findings of their report. It may be used by the companies in order to launch a
new product in the market before which market research is done to analyse whether there is a
demand of a specific product in the market or not. In the following case, Darling Ingredients
Limited gathers information from various sources and also from the customers in order to
improve the services of the company. The main objective of the study is clearly defined to
collect the information regarding the subject matter.
Following are the various sources from where the information is collected.
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Interviews: this form of instrument is used to determine the actual analysis and results
from the individual itself. This form of collection of data includes two ways, one is the
person addressing and the second is the respondent of the data. The apparatus is
performed in two ways one is face to face interview and the other is vital interview.
Questionnaires and Assessments: this form of collection of data is used when there are
fixed number of questions that needs to be answered by the respondent. It can be further
collected in various forms namely, in form of paper, mail, etc. it can be used to gather
information from outside the organisation by using various sources and examine the data
gathered (Kumar, Kumar and Prakash, 2019).
Secondary Data: This form of data is accumulated from various sources that have collected data
at this time in accordance with their investigation requirements. Data is filtered according to
assessment requirements and from currently collected sources. For investigative reasons, data
may be collected from internal sources accumulated earlier. External sources are those outside
the affiliate and from which data are collected, as evidenced by the need for assessment. Further
consolidation of internal resources:
Balance sheet
Profit and Loss statement
Sales Figure
Previous marketing studies
Inventory records
If the data collected is not sufficient to guide the assessment, data can be collected from external
sources:
Universities
Corporate filings
Business, trade, and professional association
Government sources
Types of secondary data:
Websites: It is a kind of help information through which data can be assembled, for
example, an area made by an association for better access by customers. The locale
facilitates access to data that will provide important lessons in clarifying and
documenting its strengths and setbacks in the systematized, money-related position of
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affiliated firms in the economy, whether or not customer responsibilities have been
extended. Additionally, it provides data on the company's upcoming proposals over the
years (Mazouni, 2018).
The books, journals, and articles communicated, you can find useful and market-relevant
practices done by companies over a period of time. It further provides guidance on
attracting and building relationships with associates and supporters of the association.
Also, it helps to understand their experience in the affiliation. Along these lines,
discretionary data is valuable to have discreet data on association operations in the
environment. As subject matter experts are being accumulated and disseminated by
experienced people, there is less confidence that errors have occurred in data
classification
Decentralized government: It is considered a data that a business is ethical in its practices
and is not associated with any extortion or activity. Along those lines, it populates the
physical area and the eye of the guide and is available to customers and also associated
with the association. The records verified and misappropriated by public power experts
are accurate and reliable. In the same way, it is useful for monetary finance proponents to
make productive decisions in smaller processes (Messer, 2020).
Internal records: These are records prepared by employees working within the company
for external clients, such as business conditions, the number of monetary patrons and
related clients, reasonable courses of action, spending plans being prepared, and money-
related records being made. It is valuable for managers of associations to evaluate any
classification of expected records, and for clients to review related progress and
expansion over time.
Data Sampling: A quantifiable fact strategy is used to select, control, and decompose proxy
subsets of the data focus to identify models and examples within the larger data file being
examined. It enables data experts and information reviewers to process small amounts of
information about real populations to build and run plausible models faster while conveying
precise findings. Some of the models used here are:
Mean: Investigators will collect normal values for all data. It works well by summarizing
each piece of information and then dividing it by the full number of perceptions.
Mode: It is the number which occurs most number of time.
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Median: This is the median value of the information collected. Still, as far as it goes, firm
information should be placed in the rising request. If a considerable amount of
information is collected, there will be two medians, the typical one being called the
median (Mokhov, Komarov and Abrosimova, 2022).
Standard Deviation: It is this technique that gives a good idea of how much information
is spread out from the average value. It is the square base of the difference.
Observe the various statistical tools and techniques used to collect data and helps in decision
making process.
Cash flow statement: it helps in monitoring the funds of the business by tracking its revenue. It
mainly consists of activities such as operating activities, investing activities and financing
activities. Operating ratio includes activities which are part of general activities of the company.
It helps in making provisional planning.
It helps in managing the money of the management which is used for various activities of the
organisation. This statements also considers various activities which includes inflow and outflow
of cash. The data is collected from the cash flow statement of Darling Ingredients Limited which
helps in determining the management and making critical choices about the decision making of
the business (Onggo and Joël Foramitti, 2021).
In general, the organisation wants to incur various positive and negative balance incurred in the
organisation makes difference.
Cash flows are further divided into three types of activities:
1. Operating Activities: These activities of the firm are related with the operations of the
firms and includes the managing cash of the business. It contains stock trades, an interest
section, a fee section, an agency salary rate, and a rent section. In it, the income statement
first records the net gain from general profits, which can be depicted from the
organization's compensation announcement. This can measure the interests of the
association. After that, it records non-cash transactions, including functional workouts,
and converts them into cash transactions. A business' income should show satisfactory
positive income related to its functional activities. If not, organizations may find it
challenging to handle day-to-day business activities.
2. Investing Activities: The benefits and disadvantages that may arise from the purchase and
provision of property, plant or equipment (PPE), and along these lines reflects general
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changes in the financial position of the association. Capital use (CapEx) is a more
important detail of such actions. A business invests resources into fixed resources, such
as structures, vehicles, or land, which is money. The development of capital consumption
means that the association anticipates future activity in monetary terms. In any case, it
also focuses on the reduction in authority income (Palmer, 2021).
3. Financing Activities: The third part of income is monetary activity and wages between
the association and its owners and residents. Financial movements include trade,
including promises, values, and benefits. In these transactions, closing assets are recorded
when assets are raised (for example, from a currency backer or bank), and dynamic assets
are recorded when benefits are paid.
Analysis of Cash Flow Statement of Darling Ingredients Limited: It can be seen from the cash
flow that the salary of the association organization has been expanding in recent years. It is likely
to see the benefits of business focus expand, thereby expanding the organization's job
compensation. In addition to this, the capital burn of the organization has decreased, and the
organization's effective financial planning efforts have been negative due to the expansion of the
organization's general risk. Fundraising activity by the group was similarly negative given the
adjustment in the scale of global market conversions, and the association has also repurchased
shares on the side-lines. The association also paid its arrears obligations, which also made the
support action a negative (Schragenheim, Camp and Surace, 2019).
Ratio Analysis: Financial proponents and experts use corresponding surveys to assess the
financial adequacy of associations by studying past and momentum spending plan summaries.
The data can also analyze an association's money-related status and industry midpoint, while
assessing how an association faces others in comparison areas. Currency maintainers and agents
investigate the currency position of the association by examining past and current financial
planning reports, utilizing the corresponding checks. Applicable data can show how well the
association performs over the long term and can be used to measure conceivable future
performance. The data can also look at an association's financial health and industry midpoints,
while assessing how an association is facing others in comparison areas.
Current Ratio: Liquidity ratios assess the ability of an association to pay temporary
obligations or obligations due in one year or less. It tells financial backers and analysts
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how the association can strengthen its ongoing assets on its currency-related records to
meet its ongoing commitments and various payables (Souza Junior and et.al., 2022).
Current Ratio = Current Assets / Current Liabilities
In year 2022
= 1089014 / 752684
= 1.44 Times
In year 2021,
= 986994 / 675305
= 1.46 Times
Net Profit Margin: It calculates the general income of the association to the extent of full
salary. It calculates how much net advantage an association gains from compensation.
Net profit Margin = Net Profit / Sales * 100
In year 2022,
= 657290 / 4741369 * 100
= 13.86%
In year 2021,
= 300330 / 3571923 * 100
= 8.40%
Debt- To Equity Ratio: It is used to calculate the money-related impact brought by an
organization (Torres, Sidorova and Jones, 2018).
Debt-equity ratio = Debt / Equity
In year 2022,
= 2033259 / 3347758
= 0.61 Times
In year 2021,
= 1983817 / 2954209
= 0.67 Times
Create charts and graphs (pie, bar, line) using accounting tables to make reasonable inferences
based on data about the business.
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From the proportions identified above, the continued proportion of the perceived dear
component tends to decrease slightly due to the expansion of the association's continuing
responsibilities and the smaller expansion of the business association's continuing resources
(Wan and et. al., 2021). A ratio of 1.44 times indicates that Darling Ingredients has more current
resources than the organization's ongoing commitment.
Interpretation: From the net benefits determined above it tends to infer that the net benefits of
the organization have expanded over time. It has expanded due to the expansion of the Darling
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Ingredients deal, as has the net gain of business focus. Organizations benefit from lower fees and
expanded business-focused deals (Urbach and Röglinger, 2019).
From the pie chart above, it's a good guess that Darling Ingredients contains greater value
than the organization's obligations. In the accompanying case, there is a tendency to see Darling
Ingredients' obligatory value mix containing greater value and less obligation. Ideally,
organizations should utilize more obligations and less value because value is a hyper-persistent
risk to the organization, and obligations are compensated for a specific period of time.
CONCLUSION
From the above report, it can be concluded that surveys of income and proportion review
can help organizations to solve different authority problems. It can also help capture new target
markets by improving stunning open doors thanks to the currency-related information already
assessed.
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REFERENCES
Books and Journals
Direction, S., 2019. Top-level decisions: Understanding the decision-making process of senior
managers and leaders in fashion retail.
Guarana, C.L. and et.al., 2022. Owls, larks, or investment sharks? The role of circadian process
in early-stage investment decisions. Journal of Business Venturing, 37(1), p.106165.
Kumar, A., Kumar, A. and Prakash, G., 2019, July. An Empirical Study on Strategic
Technological Decisions. In Dynamic Environment. In Academy of Management
Proceedings (Vol. 2019, No. 1, p. 18081). Briarcliff Manor, NY 10510: Academy of
Management.
Mazouni, M., 2018. The Effect of Global Investment Decisions and Financial Risk on
Multinational Corporations: Walmart Corporation Case Study. Available at SSRN
3257136.
Messer, R., 2020. Capital Budgeting Decisions. In Financial Modeling for Decision Making:
Using MS-Excel in Accounting and Finance. Emerald Publishing Limited.
Mokhov, A.I., Komarov, N.M. and Abrosimova, I.A., 2022. Information Model of Intelligent
Support for Effective Decisions. In Building Life-cycle Management. Information
Systems and Technologies (pp. 191-198). Springer, Cham.
Onggo, B.S. and Joël Foramitti, J., 2021. Agent-Based Modeling and Simulation for
Management Decisions: A Review and Tutorial.
Palmer, M., 2021. What Your Customer Wants and Can’t Tell You: Unlocking Consumer
Decisions with the Science of Behavioral Economics. Mango Media Inc..
Schragenheim, E., Camp, H. and Surace, R., 2019. Throughput Economics: Making good
management decisions. Productivity Press.
Souza Junior, M.A.R.D. and et.al., 2022. Data-driven decisions in contingency: the role of BI
dashboards.
Torres, R., Sidorova, A. and Jones, M.C., 2018. Enabling firm performance through business
intelligence and analytics: A dynamic capabilities perspective. Information &
Management, 55(7), pp.822-839.
Urbach, N. and Röglinger, M., 2019. Introduction to digitalization cases: how organizations
rethink their business for the digital age. In Digitalization cases (pp. 1-12). Springer,
Cham.
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