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ITECH1103 - Big Data and Analytics - Federation University

Question: Provide an opportunity for students to present the results of data analysis and to share this knowledge while practicing their verbal communication skills

Big Data and Analytics

Introduction
Big data is the process of collecting data from various sources.
The visualization outcomes and findings are presented in the tool called SAS
The analytic process is used to predict the future result or feature possibility of the organization.
The marketing process is dynamically changing the future result of any industry according to possibility of feature.

Benefits of Visualization
Constructing the various ways for the absorbing the information - It can be used to receive the various amount of data related to the different factors
Visualize the various relationships patterns in the business - summarization of the various data is done based on their concepts
Support-It provides the support for acting on emerging trends faster and visualize the concepts in different ways.

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Data Set
The data set selected for the analysis should be minimum 10,000 rows.
Before the prediction the data cleaning process is done for the removal of outliers from the large amount of the data.
Here health sector data is taken for analysis.
Based on the hospital records the number of persons affected for each disease is calculated for each district using prediction

Dash Board Creation
The dash board is created using the SAS Tool.
It supports various analysis of the existing data set to find different kind of analysis.

Resident Population (1996)

Resident Population.jpg

Result and Discussions
The visualization is playing an important role in various sectors of the organizations.
visualization techniques usage is increased by the developers of the business intelligence and data analytics applications
It can handle the huge volume of the data and provide the better interpretation result for the organization.
we used SAS for the analytic process. Using this tool we can easily predict the solution related to the health sector analysis.

Hospital based registered nurses per 1000 residents in HSA

Residents in HSA.jpg

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Comparison of the FTE hospital, acute care hospital with Nurses

Residents in HSA1.jpg

The ratio of cardiologist in various regions

cardiologist in various regions.jpg

Justification of Dash Board

It is strongly justified that this is suitable for the various analysis related the health sector organization and provide the best solution related to various specialist available and number of people affected by the various diseases.
The AI help to improve the patient outcomes that easily diagnosis the diseases according to the symptoms.
It also supports and control the cost of implementation process.

Recommendations
This dash board is recommended for the health organization for predicting the future possibilities of diseases
This can easily analyze the current scenario of the health sector.
The SAS tool is used for the data analytic process.
This tool is strongly recommended for the health oriented analysis process.
SAS is supported for unique prediction from large data set.

Conclusion
In this SAS analytical tool is used to predict the result according to the data set selected.
Health care dataset is taken for analysis.
It produces different observations and outcomes related to health care sector by showing the diseases in different cases.
The dash board is used to find out the various result related to the health sector organization and is used for the future predictions.

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