Learning And Using IBM Watson Analytics Tool For Global Warming Analysis

Uses of IBM Watson analytics

Discuss about the Project to learn and use IBM Watson Analytic.

The purpose of this document is to outline details about learning and using IBM Watson analytics tool. Data analytics has been playing a key role in forming the better understanding of the environmental issue. The arming governments and businesses are in need of information required to best tackle the effects of climate change and environmental issues.

IBM released Watson analytics in 2014. IBM Watson analytics is a cloud based, data analysis and visualization program that allows users to upload, analyses and visualizes trends in data. By using Watson analytics, I will be processing data on global warming and get some solution to it.

The business analytics hold and integral part in analyzing the existing operations of the organization and form the improved functions for the business. The business analytic tools are helpful for making smart decisions and carry out the processes more effectively. The tools are required for providing better insight through data visualization. It allows us to analyze data at an increased pace resulting in improvement of operations.

Currently, the world is experiencing unpleasant nature of climate as the temperature is rising worldwide resulting in numerous problems to our community. The big question today in the world is global warming as we all are experiencing dangerous climate changes. So, everyone needs to contribute something to get somewhat solution to this biggest problem faced by the world.

Here I am going to use Watson analytics tool for global warming as a source to learn how this tool exactly works. I would come to know what different things we can do with the tool and to what extent this tool can be helpful to us which will also benefit me in developing my skills for further opportunities.

The main objective of this proposal is to extend my knowledge about business analytics tool and learn more about how it works with larger datasets. We will be using global warming data to use this tool thoroughly and get my hands on it. It will also help me to enhance my employment opportunities after completing my graduation.

To extend my knowledge of business analytics tool and to learn more about BA tool this project will involve the following key areas

1. First, we will learn the basic functions of Watson analytics and it will involve the use of tool, reading the manual about the tool, watching videos to use the tool so, first we will focus on exploring Watson analytics.
2. After learning basic function we will be trialling with some other sample data just to get our hand on the tool.

After getting our hand onto the tool we will upload our main data which is about global warming.

1. We will process the data we have uploaded.
2. Without you having to do anything Watson analytics identifies patterns and associations in our data and automatically creates other starting points for us to explore.
3. The visualization in the tool shows global warming effects by year how it has increased step by step

Then we can find out pollution level by country for example which country has got the largest amount of co2 emission ratio and which has the least

We have data about global warming, but we can even check the reasons for the increase of this effect

1. We can easily communicate the analysis and insights that we discover in IBM Watson analytics by combining visualizations with text, images and shapes.
2. We can create a dashboard, infographic, or expert storybook where we can monitor and share these insights.
3. It can categorise all the information we need and then we can share it with others as well.

We can gain insight into social media discussions that are related with global warming and we can mine social media in different ways and by doing that we can add metadata as a data asset to explore in this tool.

So, these are the tasks which I am going to undertake in my project and produce an outcome in different forms

I will be using Watson analytics tool to analyse larger sets of data to help reduce climate change effects and it will give the following results

• By analysing larger sets of data about cause of global warming I will be able to decide which factor is causing more damage to the environment.
• By using this tool I will be able to get the rate of carbon emission countrywide so that we can try to sort it out.
• Because using the tool, we can ask questions and collect information on the different forms of reasons behind global warming from the tool itself
• We can ask and gather data for air pollution, water pollution, noise pollution and what are the main reasons behind it.
• So because we can get information about all the reasons for global warming we can decide what solution we can do for all causes of global warming.
• After completing this I will have all the information about what are the main reasons behind global warming and how we can contribute and play our part to nature by protecting it.
• After successful completion of this project, I will be thoroughly able to use Watson analytics and will be aware of every feature of this tool
• After completion, I will have enough skills and knowledge about BA tool so that I will be able to make my profile clear in competition for employment.

As this project is designed for increasing my understanding and knowledge of using Watson Analytics, the completion of the project would allow me to understand the application of the tool sufficiently. The Watson business analysis tool is new for me and hence I would have to use conventional trial and error method for developing the understanding of the tool. The trial and error learning approach is helpful for utilizing the learnt method on a sample set of data and check whether the outcome is appropriate or not. It would help me to understand the prospect of the outcomes from the tools. The correct outcome would conclude that I have used the Watson Business Analytic tool correctly while the incorrect outcome would signify that I need to try the tool in some other ways. Moreover, the use of trial and error approach would help me in understanding more than one function of the tool and its significance in application of the appropriate working environment.

The acceptance criteria for the project of Learning IBM Watson Analytics Tool include the expected outcome from the trial and error method to be in correct. The following are the acceptance criteria for the project,

Understanding of tool: The expected outcome of the project is aligned for the understanding of the Watson analytics can be attained. The supportive development of the understanding is helpful for the tool and its implication for future use. The project would be acceptable if the completion of the project would be helpful for making me understand about the tool.

Favourable test outcome: The approach used for the project is the trial and error method and it would require taking a sample of the data and forming the analysis of the improved operation and development. The project would be treated as acceptable when the outcome of the trial and error method would be favourable for the user.

Assumptions: The assumptions of the project are aligned with the expected outcomes of the project for Learning IBM Watson Analytics Tool. The assumptions of the project are,

1. The software of IBM Watson Analytics Tool is helpful for forming the alignment of the successive integration tools
2. The download link of the IBM Watson Analytics Tool would be available for us so that we can download the software as required for the project
3. The system configuration must support the installation of the IBM Watson Analytics Tool for assisting the learning of the tool

Constraints: The constraints acting on the project are time, technological knowledge, and outcome probability. The time is the primary constraint for the project as it is required to understand the use and application of the tool within the provided time. The lack of knowledge is another major factor that would bind the use of the application.

Risks: The factors of risk that can have an impact on the project of Learning IBM Watson Analytics Tool are,

1. Incorrect outcome from the test run of sample data
2. System unable to integrate the IBM Watson Analytics Tool
3. Unable to accumulate the required data for execution

The terminologies used in the assignment are given in the below,

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