Real World Analytics: Food and Feed Production Analysis Report

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This report analyzes global food and feed production trends from 1961 to 2013, focusing on the impact of population growth on food security. The analysis utilizes IBM Watson Analytics to visualize data and identify key insights. The report examines the production of various food items (cereals, milk, meat) and feed, highlighting trends in different countries and continents. Key findings include the increasing demand for food and feed, particularly in Asia, and the importance of advanced agricultural techniques. The report also includes dashboard reporting, a cover letter to the CEO of the Food and Agricultural Organization, and recommendations for addressing food security challenges, such as population control and updated agricultural technologies. The study underscores the critical need for sustainable food production practices to meet the demands of a growing global population.
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Running head: REAL WORLD ANALYTICS
Real World Analytics
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1REAL WORLD ANALYTICS
Table of Contents
Background:.....................................................................................................................................2
Dashboard Reporting:......................................................................................................................2
Dashboard 1:................................................................................................................................2
Dashboard 2:................................................................................................................................4
Dashboard 3:................................................................................................................................4
Dashboard 4:................................................................................................................................5
Dashboard 5:................................................................................................................................6
Dashboard 6:................................................................................................................................7
Dashboard 7:................................................................................................................................8
Conclusion:......................................................................................................................................8
Recommendation:............................................................................................................................9
References:....................................................................................................................................10
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2REAL WORLD ANALYTICS
Background:
The population of the world is growing rapidly in recent years. To find the solution of
population explosion, high amount of food and agricultural stuffs has become necessary to
produce food and agricultural products. The solutions depend on growth of production. The
considered data set provides an insight on the production worldwide. It focuses on a comparison
between food produced for human production of food and feed generation for animals. The FAO
data base of 2013 depends on the historical food balance sheet of 1961. The climate of recent
days is changing and it is both hampering and affecting the agricultural production. Food and
agricultural organizations and entrepreneurs along with stake-holders are concentrating on the
factors of food production these days (Maye, 2016). The food production and food production
seem to be a hot topic these days as the population is expected to grow from 7.3 billion to 9.7
billion till the end of 2050.
The various types of food production and consumptions are regarded in this current
analysis. The verities of “Items” and “Elements” such as “Food” (The amount that human body
intakes) and “Feed” (The amount that livestock and poultry intake) are the key factors of the
analysis. The variability of consuming different types of items and elements are concentrated in
this occasion.
Dashboard Reporting:
The dashboard reporting is based on four crucial factors that are- “Objectives”, “Critical
Measures”, “Projects” and “Action items”. Dashboards graphically focus on looks and layouts.
The dashboards help us to manage the big data analysis. The considerable information, key
aspects, critical idea and action items could be delivered by dashboard representation. The
dashboard intelligence is a data visualization tool that depicts the current status of “Key
Performance Indicators” (KPI) for an organization (Chen, Chiang & Storey, 2012). The
dashboard consolidates and prepare the performance scoreboards of essential features of
Business intelligence dashboard production or commodities (Hoyt et al., 2016). The dashboards
feature the customizable interface and capability to pull real-time data from multiple sources.
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3REAL WORLD ANALYTICS
Dashboard 1:
The total amount of food or feed production is highest in China. The total amount of
production is also significant in USA and INDIA followed by Brazil and Russia throughout 1961
to 2013. The amount of feed production is less than 3 Million Metric tons in 2013 and food
production is almost 10 Million Metric tons in 2013. The amount of food consumed in 2013 is
maximum in China (3.2 Million tons). The amount of food is second highest in this year for
India (1.3 Million tons) followed by USA (939 K tons). The mostly consumed food or feed is
“Cereals” and least amount of production is observed in case of “Vegetables”.
Dashboard 2:
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4REAL WORLD ANALYTICS
In 1961, the amount of food or feed production is highest in USA, followed by China.
The food or feed production is third highest in India. In 2013, the amount of food or feed
production is highest in China, followed by India. The food or feed production is third highest in
USA. The production of food from 1961 to 2013 is has increased mostly in China followed by
India.
Dashboard 3:
The production of food in 1961 is very high in Asia followed by Europe. The production
of feed in 1961 is significant only in Europe. The production of food in 2013 is very high in Asia
followed by Africa. The production of feed in 2013 is significant only in Asia. The increment of
food and feed production in 2013 or 1961 both are significant in Asia. The amount of food
production are has increased in Africa significantly in 43 years.
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5REAL WORLD ANALYTICS
Dashboard 4:
The dashboard represents that in 1961, the highest food or feed production and consumption is
observed in case of USA, China and India respectively. In 2013, the highest food or feed
production and consumption is observed in China, India and USA respectively. The increment of
production and consumption of food is observed in China, India and USA respectively.
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6REAL WORLD ANALYTICS
Dashboard 5:
In 1961, the production of feed was less than 1 million ton. On the other hand, production
of food was more than 2.6 million tons. As per countries, the total amount of food and feed
production was highest in United States of America (559 K tons) followed by China (477 K
tons). The amount of food or feed production was third highest in India (310 K tons). The least
amount of food or feed was consumed in Kenya. The median amount of food or feed production
was observed in Tunisia. The increment in food production is greater than increment in feed
production from 1961 to 2013 across all the countries of the world. The increment of production
is observed in case of China (2.7 Million tons) followed by India (1 Million tons). The third
highest production of food and feed is observed in 43 years in USA (379 K tons). The amount of
decrement of food or feed production is highest in case of Poland (20.4 K tons).
1.3 Million tons is the highest increment of the production between these long-period of
time across the world in case of “Cereals”. The lowest increment of production is observed in
case of Meat and Aquatic meats.
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7REAL WORLD ANALYTICS
Dashboard 6:
In 1961, the maximum production was observed in case of “Cereals (Excluding Beer)”,
“Milk (Excluding Butter)” and “Starchy Roots” respectively. In 2013, the highest production was
observed in case of “Cereals (Excluding Beer)”, “Milk (Excluding Butter)” and Vegetables. The
incement of consimption and production is highest respectively in the way “Cereals (Excluding
Beer)” (1.3 M tons), “Milk (Excluding Butter)” (900 K tons) and “Vegetables” (850 K tons).
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8REAL WORLD ANALYTICS
Dashboard 7:
From 1961 to 2013, the production of meat or aquatic meat is not enhanced much as
expected in any of the country significantly. In 2013, the food of Item code 2733 is highest
produced in China and the food of Item code 2734 is highest produced in USA.
Dashboard 8:
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9REAL WORLD ANALYTICS
In 1961, the production of “Bovine meat” is higher as food element rather than other four
types of meat. On the other hand, in 2013, the production of “Pig meat” is higher as feed element
rather than other types of meat. In 2013, the amount of total amount of “Pig meat” is significant
in USA.
Overall Research:
From 1961 to 2013, the overall production of food or feed is found to be significant. As
the population has increased there years rapidly, the demand of food or feed also has enhanced
consequently. In 1961, the production of food is higher than production of feed. In 2013, the
production of feed is greater than the production of feed. The difference is greater in 2013. The
increment of food is more than 7 Million tons in 43 years and feed is only less than 2 Million
tons in 43 years. Alike 1961, the production of food is higher than production of feed across the
world.
The outlier that found in food production is “China”. The outlier in case of increment of
food or feed production is “China” and “India”. The fastest growing country in terms of food or
feed production is “China”. China is consuming meat or aquatic meat mostly these days.
However, the amount of food production is greater than feed production in 2013 than 1961.
Through the years the production of “Cereals” and “Milk Products” is very high across
all the countries. These two types of food are greatly demanded by the people. The amount of
meat and aquatic meat produced in these years is highest for “Pig meat” followed by “Poultry
meat”. The amount of mutton or goat meat as well as other types of meat is least consumed in
2013. Every types of meats are produced by “China” with highest amount.
Recommendation:
The online analytical tool “IBM Watson Analytics” is utilised to execute the analysis
(Miller, 2016). It with the help of dashboards refer that the amount of food production is very
high in Asian countries these days especially in China, India and Indonesia. These happened due
to the huge population growth in Asia. Hence, these countries should develop and adopt the
technique of advanced agricultural process to enhance the amount production in the equal
amount of fertile land (Godfray, 2010). The people in these countries are looking for new
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10REAL WORLD ANALYTICS
dwellings; as a result, the amount of agricultural land is decreasing rapidly (Rosegrant & Cline,
2003). Hence, population control in these countries is very much essential (Maye, 2016). Land
and food or feed production is rapidly decreasing; people of these area may face lack of nutrition
in near future. The education level should be high of these people and the technologies that are
necessary for agriculture should be more updated (Van Barneveld, Arnold & Campbell, 2012).
“IBM Watson Analytics” successfully handled the data and incorporated it.
Cover Letter:
Dear CEO,
Food and Agricultural Organization.
Some inherent facts are discovered from this crucial data analysis with the help of
visualizations of “IBM Watson Analytics”. I can express the global scenario of food and feed
production country and continent wise. The population has increased rapidly from 1961 to 2013
across all the countries of the world. The food and feed production has significantly increased in
43 years (1961 to 2013). Production of foods has enhanced more than the production of feeds
these years. Production of cereals and milk products has improved as per the increase of the
population is several countries especially for China, India and United States of America.
However, the production of green vegetables and other horticultural products have not much
increased accordingly. It is truly a concerning matter of discussion. The population explosion has
mostly affecting “Asia” continent. The two countries “China” and “India” are therefore facing
lots of problems and USA is not far behind of it. It is putting the corresponding government in an
uncomfortable situation. The condition of other continents such as Europe and Oceania is good
as per production and consumption. However, the population of America and Africa is
significantly growing also. The production of food or feed is also upgrading in these continents
too. As a summary, I can suggest that population growth is a serious challenge in the present
world.
Regards.
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11REAL WORLD ANALYTICS
References:
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: from big
data to big impact. MIS quarterly, 1165-1188.
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., ... &
Toulmin, C. (2010). Food security: the challenge of feeding 9 billion
people. science, 327(5967), 812-818.
Hoyt, R. E., Snider, D., Thompson, C., & Mantravadi, S. (2016). IBM Watson analytics:
automating visualization, descriptive, and predictive statistics. JMIR public health and
surveillance, 2(2).
Maye, D. (2016). Smart Cities Food Governance: Critical Perspectives From Innovation Theory
And Urban Food System Planning.
Miller, J. D. (2016). Learning IBM Watson Analytics. Packt Publishing Ltd.
Rosegrant, M. W., & Cline, S. A. (2003). Global food security: challenges and
policies. Science, 302(5652), 1917-1919.
Van Barneveld, A., Arnold, K. E., & Campbell, J. P. (2012). Analytics in higher education:
Establishing a common language. EDUCAUSE learning initiative, 1(1), l-ll.
Zhu, W. D. J., Foyle, B., Gagné, D., Gupta, V., Magdalen, J., Mundi, A. S., ... & Triska, M.
(2014). IBM Watson Content Analytics: Discovering Actionable Insight from Your
Content. IBM Redbooks.
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