SAS Visual Analytics for Health Data Analysis in US Health Department

Running Head: BIG DATA 1
US health department
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<University Name>

BIG DATA 2
Task 1: Background Information 3
Task 4: Justification 4
Task 5: Discussions 4
Task 6: Executive summary 5
Conclusion 5
References 6
Appendices 7

BIG DATA 3
Task 1: Background Information
SAS visual analytics help in health data analysis which is very essential for every organization
that focuses on health issues with a specific focus. These analytic data visualizations to the health
sector play an important role in order enhance general productivity of the organization. As a
result, increases efficiency and effectivity of the organization. The advantage of the SAS analytic
data visualizations is that it produces valuable and deep health insights that boosted the
organization’s reputation. Moreover, other organizations or business firms dealing with matters
of healthcare by use of the SAS analytic data visualizations in one way or the other remain
competitive and this enhances its overall performance.
For the purposes of accomplishing the task, the "READMIT-HISTORICAL" dataset from
teradatauniversitynetwork.com has been considered. Recently, the SAS visualization analytics
has gained preferences in many organizations including health departments due to its ability to
display data visualization that makes decision-making process easy. Furthermore, these analytics
show the trend and discover hidden patterns within a dataset. In US, it is important to analyze
health data in general because of its expensive in nature. Again, the development and updating of
health strategic plans addressing health issues depend on the timely analysis and availability of
data.
For to note, Big Data analysis while utilizing huge data of numerous hospitals, (June 2011 – July
2012) is one of the tools that helps in evaluating quality of service provided to the population by
any the health industry. Additionally, visualization of health conditions via SAS Visual Analytics
helps to predict the future of U.S Health Services. Findings from these analytical work from SAS
help the US health departments to make effective decisions given the fact that they are dealing
with the lives of people. Hence, this information will also help to ensure that general health
operations are continuously improved.
There are several benefits of using SAS data visualization such as having a glance to detect any
changes within the healthcare provision by just interrogating results. However, these results must
be availed within a specific timeline, (Yang, Li, & Zhang, 2018). Just to mention, dashboards
have been developed as one of the data visualizations measures that can be manipulated to
uncover other findings especially hidden factors affecting the general performance of health
organizations. Through these dashboards, the management team of health departments can come
up with specific recommendations to improve general health services being offered to the public.
Generally, data visualizations have been viewed to be better than static charts given their ability
to demonstrate additional interactions, unlike static charts that do not have real-time interactions
of the dashboards. In most cases, statisticians and those who do not have any analytical
backgrounds have continued to like data visualizations due to its interactive measures that
change the general perception of many analytics, (Hepworth, & C Canon, 2018).