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WATSON ANALYTICS Watson Analytics: Trend of CO2, CO, CO, NOX, SOX, VOC and GHG emission in G8 countries

Develop innovative analytics visualization solutions and predictive models using SAP or Watson Analytics tools for environmental issues.

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Added on  2023-04-23

WATSON ANALYTICS Watson Analytics: Trend of CO2, CO, CO, NOX, SOX, VOC and GHG emission in G8 countries

Develop innovative analytics visualization solutions and predictive models using SAP or Watson Analytics tools for environmental issues.

   Added on 2023-04-23

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Running head: WATSON ANALYTICS
Watson analytics: Trend of CO2, CO, NOX, SOX, VOC and GHG emission in G8 countries
Name of the Student
Name of the University
Author’s Note
WATSON ANALYTICS Watson Analytics: Trend of CO2, CO, CO, NOX, SOX, VOC and GHG emission in G8 countries_1
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WATSON ANALYTICS
Executive summary
The paper mainly reflects on the analysis of the trend of CO2, CO, NOX, SOX, VOC and GHG
emission in G8 countries by using the IBM Watson analysis tool. The main scope of this paper is
to analyze the emission of the harmful gases in G8 countries from the year 2007 to the year
2016. The data set that is collected is generally analyzed in order to determine the value of
emission that had occurred within the period of 2007 to 2016 within the G8 countries. After
proper analysis, it is found that USA has the highest rate of CO2, CO, NOX, SOX, VOC and
GHG in comparison to other G8 countries. The emission of harmful gases creates a number of
environmental issues, and in order to resolve the issues, the report also provides a number of
recommendations.
WATSON ANALYTICS Watson Analytics: Trend of CO2, CO, CO, NOX, SOX, VOC and GHG emission in G8 countries_2
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WATSON ANALYTICS
Table of Contents
1. Introduction..................................................................................................................................3
2. Background information..............................................................................................................3
3. Description of the selected data set.............................................................................................4
4. Types of analysis.........................................................................................................................4
4.1 Descriptive analysis...............................................................................................................5
4.2 Predictive analysis...............................................................................................................11
5. Recommendations for CEO.......................................................................................................12
6. Cover letter................................................................................................................................14
Bibliography..................................................................................................................................15
WATSON ANALYTICS Watson Analytics: Trend of CO2, CO, CO, NOX, SOX, VOC and GHG emission in G8 countries_3
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WATSON ANALYTICS
1. Introduction
The generation of new data is increasing at an exponential rate due to the advancement
within technology as well as an information system. The data that are collected can either be
structural in nature, or they are generally unstructured in nature. It is found that different types of
sensitive data, as well as information, generally remains hidden within the huge data volumes
which can be used in the business organizations in order to improve the market demand. The
interpretation, as well as analysis of huge velocity as well as volume, are found to be tiresome as
well as challenging as it generally needs huge manpower or human resources in order to
complete the calculation. However, the calculation that is performed with the help of the human
resources can have errors due to which the calculations become inaccurate. In order to resolve
the problem, it is quite necessary to use computerized solution for the interpretation of data that
would generally help in analyzing huge data set within very much little time and enhanced
quality of interpretation. This data interpretation can be utilized in huge data set in a minimum
time and further assist in enhancing the interpretation quality. The data interpretation can be
utilized in different business processes for developing strategic planning quite successfully.
2. Background information
In this particular project, the emission of CO, CO2, NOX, SOX, GHG and VOC in
different G8 countries are analyzed by utilizing “IBM Watson Analytics” which one of the
online cloud based business intelligence tool. It is identified that over the past few decades the
emission of CO, CO2, NOX, SOX, GHG and VOC is changing due to which a number of
environmental problems like acid rain, eutrophication, ozone depletion as well as issues of
climatic change are occurring. Moreover, the emission of harmful gases can generally damage
WATSON ANALYTICS Watson Analytics: Trend of CO2, CO, CO, NOX, SOX, VOC and GHG emission in G8 countries_4

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