Business Data Analysis for Pecan Peanuts

This document provides a comprehensive analysis of various aspects related to Pecan Peanuts business, including the Australian Pecan Industry, export projections, health issues in the nut market, quality assurance conditions, costs of a new machine, hypothesis testing, pros & cons analysis, customer satisfaction, and SWOT analysis for possible expansion.

Business Data Analysis
(Pecan Peanuts)

INTRODUCTION
Pecan Peanuts sells a range of packed nut items from its major UK production unit. Two
key package sizes are open, one small after an entree bid and then one greater for home
preparing offers. Additionally, Walnut Peanuts offers other items (cashews and pistachios) so all
walnuts as well as cashews also have tremendous influence.
Because the organization founded it in 2017, the activities were going smoothly. There has
definitely been a significant rise in net profits per year since its start. The business recently saw a
variety of models between clients, reminiscing of an increasing dedication to rough bites. One of
the most experienced devices in the production lines today operates more reliably for both
transactions and splits.
TASK 1
Overview of the Australian Pecan Industry
Many bearer plants, Pecans (Carya illinoinensis) are fertilised also by breeze and ego-
pollinating. Within a nut house the mixture of crops is necessary to guarantee healthy
productivity. In September, air implantation happens and walnuts grow before May once
processed. Walnuts growing seeds up to 2 m in deformation duration can develop from 20 to 40
metres in length. The walnut tree's broad exchanged leaves shape up to 15 tiny pinnate petals,
which are deciduous. When walnuts expand, pruning is essential for promoting light acquisition
and yielding (the quantity of daylight reaching a tree). Understanding of the medical advantages
of foods, like almonds, has contributed to a increasing increase in fragile and healthy goods
around the world. Walnuts are grown in the US and Mexico's southern and central-Eastern areas.
The key nut plantations started in the US in the 1880 currently walnuts are likewise grown at
different locations like South America, Australia, Saudi Arabia, Italy and South Africa.
Many Pecan enterprises are based in north eastern New South Wales as well as south eastern
Queensland (QLD), Australia. The Stahmann Farw Trawalla farming in northern NSW, near
belgaum district, are the biggest nut company in the southwest of the country. Australia has more
than 100 nut farmers and more than 180,000 trees grown. People with a position at the Australian
Pecan seed company (APGA) make up 95 % of Australia's peanuts (APGA, 2011). Since 2006
Australian output of walnut has decreased to about 3,000 tons (in shell) (ANIC, 2015). Economic
development is strongly committed, and manufacturing is anticipated to expand to around 9,500

heaps in capsule by 2025. Identifying sensible places for pecan production is a major element
throughout the sector’s development.
TASK 2
Linear Forecast of Export Productions for 2021 and 2022
2013 2014 2015 2016 2017 2018 2019 2020 2021
0
5
10
15
20
25
30
Export
Linear (Export )
Local use
Interpretation: According to the data between 2014-2015 provided for local usage and
exports; the linear projection pattern line indicates an improvement in productivity growth in
2021 and 2022. Exports are expected to reach 30 million tonnes during the year 2021 to 2022.
There is a large difference among export and domestic consumption, which means that Australia
has shipped significant supply of Pecans to the UK, which therefore suggests strong currency.
Pecans prove to be a way of producing additional funds for Australia by selling it abroad.

TASK 3
Health Issues in the Pecan, Peanut, Cashew and Pistachio Market
Pistachios Cashew Pecan Peanut
0
5
10
15
20
25
Health Issues
Fat content (grams)
Depending the above table analysis, it can be inferred that Pecan does have strong
saturated fat relative to every other form of nut and therefore, safer for all. Peanut appears with
17 per cent soluble fat on 2nd spot and Cashew and Pistachios has nearest fat amount. Peanuts
may also boost risk factors for cardiovascular events. Women who eat fatty nuts upwards of five
days a week have diabetes slower pace. Furthermore, rates of asthma and adverse diseases in
children could be smaller than those of moms who eat peanuts one or two days a week during
pregnancy times.
Pecans will reduce the "terrible" Bad cholesterol of individuals with regular blood sugar
levels; like other foods, polysaccharides are present in the foods, and are so much worse than
cancer preventives. A diet that includes 20 % cashews increased circulatory stress in patients
with metabolic diseases; cashews also enhanced the diet works cellular stimulation capacity;
consuming less calories and cashews will raise insulin in patients with metabolic disorders. A
diet high in cashew nuts decreases the blood pressure as well as raises the amount of "healthy"
HDL cholesterol. In any event, it did not impact weight loss or insulin rates substantially.
Pistachios may raise blood pressure: a calorie allowance of 56-84 grams of pecans can try
to enhance the "high" HDL cholesterol. Pistachios may also boost much coronary risk of heart
diseases like circulatory function, depression and inflammatory condition. Oxidative condition
applies to amounts of oxidative production in the body, which may lead to heart disease.

TASK 4
Quality Assurance Conditions for Machine Working
The two most widely used definitions are quality assurance (QA) as well as quality control
(QC). Even though there are clearly unique variations between the two theories. This article
clarifies the distinctions among quality assurance and quality management, and includes
definitions and examples of both.
A change to insure an organization delivers the best consumer support or management is
known as QA. Quality management is based on establishing ways of providing consumers with
premium goods. An organization will insure that the processes are practical and efficient
according to the consistency criteria defined by the components of the programming.
Possibility of malfunction of modern computer = P (A) = 20% = 0.2
Possibility of old computer malfunction = P (B) = 80% = 0.8
Possibility that all computers jointly malfunction = P (A∩B) = P (A) × P(B) = 0.2 × 0.8 = 0.16
Possibility that one computer works atleast = 1 - P (A∩B)
= 1 – 0.16 = 0.84
The consistency indicator offered is to reach at least 99.999 % at all occasions when one
computer will operate. However the outcome reveals that there is just 84 % probability that at
minimum one computer will be running constantly and thus the criterion will not be fulfilled.
TASK 5
Costs of a New Machine
EMI = [P x R x (1+R)^N]/[(1+R)^ (N) -1],
The parameters in this model stand for:
EMI was its monthly component of equation
P is the sum, or the volume invested as a loan
R is really the rate of inflation charged on the sum of the borrowing (the interest rate will be
monthly)
N is the period of the debt repayment or the amount of periodic payments (duration will be in
months)
That is the same calculation that an EMI converter uses to send them the right EMI that is payout
in seconds.

Here;
P = £ 96,000
R = 9%/12 = 0.75% per month
N = Sixty months (this number was collected by trial - and - error process to achieve an EMI of
less than £2,000 a month)
Putting the value in given formulae:
EMI = [96,000 * 0.0075 * (1 + 0.0075) ^ 60] / [(1 + 0.0075) ^ (60) - 1]
= [720 * 1.5657] / [1.5657 - 1]
= 1127.304 / 0.5657 = £1992.76 which is near to £2000
TASK 6
Hypothesis Testing for the Possible Difference in Two Machines
Phase 1: State the Hypothesis Null
Null hypothesis assumes that in data gathered there is no variance of mistake, or that two
factors have little variation in importance. Thus the null statement of this situation may be:
H0 = In 2 samples there is no gap of meaning between the numbers.
Phase 2: Alternate Hypothesis Argument
Alternative scenario often provides contrary claims to null hypothesis. When null
hypothesis is acknowledged then alternative hypotheses and vice versa would be denied
concurrently. Therefore, the alternate comment on the hypothesis may be:
H1 = In both studies, the variance in importance is between the sum.
Phase 3: Set alpha value
In Reality
Decision H0 is True H0 is False
Accept H0 Ok Type II Error
β = Probability of Type II
Error
Reject H0 Type I Error
α = Probability of Type I
Error
Ok

There, the expected alpha value is a degree of importance of 0.05 or 95 % up to which
uncertainty is overlooked and the outcome is acknowledged.
Phase 4: Collecting data
The data were obtained through quantitative weight and size configuration of the Peanut
packages.
Phase 5: Check percentage estimation
First, the software computes the combined standard deviation s:
The normal error measures the disparity between the two ways as:
The sense point, or P-value, is determined using the t-test, measuring the importance is shows by
the formula:
Difference -10.000
Standard error 6.569
95% CI -23.1079 to 3.1079
t-statistic -1.522
DF 68
Significance level P = 0.1326
Stage 6: Creating regions for the approval and rejection
The significance of P in stage number 5 is higher than standard and is therefore
recognized as null hypothesis as well as dismissed as alternate hypothesis.
Stage 7: Conclusion

Depending on the latter test, p > 0.05 (0.1326 > 0.05); this means there is little disparity
of value between the quantity of packets of separate samples; the multiple nodes are not equal in
terms of loading the same quantity into packets.
TASK 7
Pros & Cons Analysis “Should we buy a new machine”
Should we buy a new machine?
Pros Score/10 Cons Score/10
The probability of 99.99%
for quality assurance will be
achieved
9 Financial debt has to be
taken 7
Decline in cost of repairing 8 Cost will be increased 8
Increase in efficiency 8
Increase in capacity 9
Total Pros 34 Total Cons 15
Average Pros 8.5 Average Cons 7.5
Depending on the review of the benefits and drawbacks across the process and determine
whether to purchase a new computer or not; the overall pros and cons results explicitly show that
the average pros are surpassed by only a new machine and therefore it is secure and competitive
for the business. In fact, the old computer could even be used as a backup and viewed at the
moment the operation was backed up.
TASK 8
Customer Satisfaction
Customer Satisfaction is a metric used to determine to what degree a customer is pleased
with an entity. This metric is usually calculated by offering a consumer satisfaction analysis that
questions how a client thinks about supporting, shopping or sharing on a 5 or 7 point rating scale.
In general the communications process, with reactions varying from "very unhappy" to
"completely accomplished."
Freshnes
s Tastiness Recommendation

pistachios 3.11 3.09 2.84
peanuts 3.09 2.98 2.67
pecans 3.10 3.07 2.84
cashews 3.08 3.09 2.86
pistachios peanuts pecans cashews
2.40
2.50
2.60
2.70
2.80
2.90
3.00
3.10
3.20
Freshness
Tastiness
Recommendation
The following table displays the Pistachios, almonds, pecans as well as cashews consumer
loyalty survey focused on market freshness, deliciousness, and advice metrics. Result was
obtained by answering a questionnaire from 86 random individuals. The result reveals that
people considered all types of nuts to be new but also in tastiness pecans and cashew nuts
received better scores. Cashews are widely preferred by the citizens though interviewers choose
Pistachios to be the nuts afterwards.
TASK 9
SWOT Analysis about Possible Expansion
Technology continues to grow throughout the market cycle. It is an essential cookie which
requires proper organizing from selecting the right material to execute the correct processes.
Throughout fast-paced environments, this latter is vulnerable to complications and needs flexible
will. That doesn't make the former approach better than an abstract turnaround of incidents; the
creator, organization and worker key daily occurrences are both informed and accountable for
behaviour regarding potential scenarios.
Strengths
 Low start up costs
Weakness
 Seasonal demand

 Low maintenance
 Flexible loan repayment
 Lack of public awareness
Opportunities
 Joint ventures
 Possible expansion
 Online orders
Threats
 Competition during the holiday season
 Competitors copying ideas
 Indirect competition by grocery stores
Summary
The company does not originally have several promotional strategies, typically in the form
of leaflets and post cards at the entrances and at different festivals and occasions. They intend to
get a reputation for the company at these events, and even give some kind of a "wonderful gift."
The comparison audience for the public's walnut company is typically at every point, a
youthful and middle-high where one lives essentially a "hurried" lifestyle but who has
reservations regarding keeping a tight eating habits without effectively discussing the flavour.
Australians are missing dinners so all more than ever consuming is becoming a habit for certain
people, especially young people. With success in the nibble industry and the lifestyle segment
repositioning itself and pushing "healthy" and "good" fats, nuts have slowly gained attention.

REFERENCES
Books and Journals
Crick, F. and Clark, J., 2014. The astonishing hypothesis. Journal of Consciousness
Studies, 1(1), pp.10-16.
Gürel, E. and Tat, M., 2017. SWOT analysis: a theoretical review. Journal of International
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Hall, A.P., Moore, J. G., Gunning, B. and Cook, B. B., 2015. Nutrients in Nuts, The Nutritive
Value of Fresh and Roasted California Grown Nonpareil Almonds. Journal of Agricultural
and Food Chemistry, 6(5), pp.377-382.
Kellert, S. R. and Wilson, E. O. eds., 2013. The biophilia hypothesis. Island Press.
Kurttila, M., Pesonen, M., Kangas, J. and Kajanus, M., 2010. Utilizing the analytic hierarchy
process (AHP) in SWOT analysis—a hybrid method and its application to a forest-
certification case. Forest policy and economics, 1(1), pp.41-52.
Lo, A. W., 2004. The adaptive markets hypothesis. The Journal of Portfolio Management, 30(5),
pp.15-29.
Valentin, E. K., 2011. SWOT analysis from a resource-based view. Journal of marketing theory
and practice, 9(2), pp.54-69.