Task 1- Background information
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.
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.
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”.
Task 2 – Reporting / Dashboards
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.
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.
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.
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.
Task 3 – Research
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).
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.
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.
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.
Task4 – Recommendations for CEO
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 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.
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.
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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