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Enterprise Planning And Implementations

   

Added on  2022-08-19

14 Pages2997 Words9 Views
Data Science and Big DataStatistics and Probability
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Running head: ENTERPRISE PLANNING AND IMPLEMENTATIONS
Feasibility of Big Data in Healthcare Management
Name of Student-
Name of University-
Author’s Note-
Enterprise Planning And Implementations_1

ENTERPRISE PLANNING AND IMPLEMENTATIONS1
Table of Contents
Project stakeholders for Big Data Analytics Systems.....................................................................1
Information architecture for big data analytics systems..................................................................1
Technology architecture for big data analytics systems..................................................................3
Governance and methodologies used for the system.......................................................................5
Work breakdown and work package decomposition.......................................................................6
Critical success factors for the system.............................................................................................7
Impact of implementation on organization......................................................................................8
Recommendation and conclusion....................................................................................................9
References......................................................................................................................................11
Enterprise Planning And Implementations_2

ENTERPRISE PLANNING AND IMPLEMENTATIONS2
Project stakeholders for Big Data Analytics Systems
The customers in Ramsay Healthcare center will get improved operational efficiency
compared to previous service that were provided by the company. The customer will be able to
get medical claims and will be able to get mobile data and can get service from non-retail outlets.
With big data customers will be able to get pharmacy claims from the pharmacists who is a
stakeholder for the healthcare center (Mehta and Pandit 2018). The customers will have to
communicate with the customer care representatives who will help the customers in case of any
issues. The patients will also receive advanced treatment process from the doctors and medical
professionals with the help of big data analytics implementation in Ramsay Healthcare center.
Information architecture for big data analytics systems
Information architecture is known as enabler in system of big data analytics. Big data
includes different data that are structured. Semi-structured and unstructured. The main
characteristics of big data that can be included in Ramsey Health care centers includes volume,
variety and velocity and implementing those characteristics in the health care center is quite a
challenging work in the existing architecture of the hospital.
To obtain the maximum value from the big data, the hospital needs to handle the fast
delivery rate and has to handle the large amount of data having different data types. The different
types of data from the organization can be integrated with the enterprise data and can be
analyzed simultaneously (Wang, Kung and Byrd 2018). The information architecture that is used
in Ramsey health care center includes tool as well as methods that helps in organizing
relationships, building as well as labeling relationships in the organization. Information
architecture involvement helps big data to explore as well as analyze different types of data
Enterprise Planning And Implementations_3

ENTERPRISE PLANNING AND IMPLEMENTATIONS3
sources. Information architecture is needed to exploit relationships and also helps to synergies
the data in the organization. The big data components that are used in the health care center
along with the information architecture element are provided below in the table.
Information
Architecture
Element
Volume Velocity Variety
Content Quality of
Service
This mainly focuses
on the availability,
usefulness, security
and the scalability of
data content and also
improves the quality
of the content.
Helps to eliminate all
the delays as well as
latencies from
content as well as
from the business
processes. This
results in analyzing
and making proper
decisions that affects
the velocity of the
content.
Helps in improving
quality of different
content that are
included in Ramsey
Health care.
Content Governance Mainly focuses on
the accountability
establishment
specifically for
accuracy, timeliness
as well as
This helps to improve
the velocity of the big
data by making
smaller pertinent
content from the
large amount of data
The resources
included in big data is
trimmed by content
governance.
Enterprise Planning And Implementations_4

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