Enterprise Planning and Implementation Report - CIS8004 - University

This report examines enterprise planning and implementation within a healthcare service provider specializing in ruler and remote healthcare. It addresses the organization's underinvestment in technology, leading to legacy systems and challenges in keeping pace with competitors. The report explores the use of big data analytics, its risks, and its potential to improve patient care and operational efficiency. It analyzes customer relationships, value chains, and infrastructure requirements for big data implementation. The report also provides recommendations for leveraging big data to enhance strategic planning, reduce costs, and improve security within the healthcare environment. The report also covers the challenges faced by the organization, including the erosion of its customer base due to disruptive technologies and changing customer expectations. Finally, it provides recommendations for how the organization can leverage big data analytics to improve its operations and competitiveness.

Running head: ENTERPRISE PLANNING AND IMPLEMENTATION
ENTERPRISE PLANNING AND IMPLEMENTATION
Name of the Student
Name of the University
Author Note:

1ENTERPRISE PLANNING AND IMPLEMENTATION
Executive Summary
The report is all about major healthcare project where the individual is working like ICT or IS
specialist. This particular organization is a health service provider which focus on specializing
ruler and remote healthcare services. Over the time span of 10 years, the organization has
underinvested in this particular technology. This has ultimately resulted in legacy system and
different process. Project is kicked due to the fact that organization is facing struggle in keeping
pace with the competition. The firm is very much concerned with respect to customer-base that is
eroding with the passing time. It has come into picture as a result of disruptive technology and
changes in the customer expectations.

2ENTERPRISE PLANNING AND IMPLEMENTATION
Table of Contents
Identification of selected Organization in the Industry.......................................................3
Use of Big Data Analytics System and risks.......................................................................3
Experiences gained by organization using big data analytics.............................................4
Customer Relationship and partnership that will change in project....................................5
Values and Value chain of organization..............................................................................7
Scope of Big Data Analytics................................................................................................7
Infrastructure of Big data analytics......................................................................................8
Conclusion...........................................................................................................................9
Recommendation.................................................................................................................9
References..........................................................................................................................10

3ENTERPRISE PLANNING AND IMPLEMENTATION
Identification of selected Organization in the Industry
Healthcare service provider that is very much specialized in both ruler and remote
healthcare services. The organization has come up with plan of underinvested in technology in
time span of 10 years. It has output in legacy systems and different methods (Wang, Kung and
Byrd 2018). The project has been completely kicked off has the organization has failed to be
keep up with competitors in the field. The main issue is all about customer base being eroded as
a result of disruptive technology. It has taken place as a result of changes in the expectation of
different customers. Considering the major challenges that is being faced in the organization,
manager has turned for a conference where an idea is provided regarding the role of big data
analytics (Behrisch et al. 2018). This particular is considered to be future of healthcare industry.
Manager is very much excited with respect to technological upgradation and is very much
focused on incorporating these technologies in the present business model. In addition, advice is
given regarding the fact that there are many opportunities in the health environment.
Use of Big Data Analytics System and risks
Use of big data analytics in healthcare aims to provide huge number of positive and life-
saving outcomes (Attaran, Stark and Stotler 2018). Big Data completely highlights huge quantity
of information that is created as a result of digitization.
Patient Predictions for Improve Staffing: Big Data is helpful in solving the issue of
adjusting with the number of staff required in a hospital. The system will be web browser
depended interface that will be used by nurses, doctors and different hospital administration. In
some cases, extra staff members can be drafted when the number of visitors are expected to be

4ENTERPRISE PLANNING AND IMPLEMENTATION
high (Tsai et al. 2016). This particular step will help in reducing waiting times for different
patients and enhance care quality.
Real-time altering: Big Data analytics in healthcare highlights some crucial function that
is real-time altering. Clinical decision support system helps in carrying out an analysis on the
medical data (Ahmed et al. 2017). This merely provides some kind of advice to the healthcare
practitioners.
Big data analytics turns out to be as biggest challenge for memory in the healthcare
domain. Risk of Big Data Analytics are discussed below:
Capturing: All the data comes up from some particular location, but for most of
healthcare providers, it does not come from any particular location. Capturing data which is
clean and complete and formulated in right way makes use of different system (Marjani et al.
2017). Poor EHR and improper understanding are one of the biggest risk in big data analytics.
Security: Data security is the biggest priority for most of healthcare organization (Wang
et al. 2018). Healthcare is left to huge number of vulnerabilities like phishing attacks to malware,
and lastly laptops being accidently left in somewhere.
Experiences gained by organization using big data analytics
Healthcare data for informed strategic planning: Big data in the healthcare industry
helps in having better strategic planning. This specialized so that individual can have better
insight for people motivation (Lo’ai et al. 2016). Care managers is very much helpful in
analyzing results of checkup among the people who are from different demographic groups.

5ENTERPRISE PLANNING AND IMPLEMENTATION
Predictive analytics in healthcare: The main task of healthcare business intelligence is
very much helpful for doctors as this help in data driven in seconds. The technology will
ultimately help in improving the treatment of different patient (Firouzi et al. 2018). It stands out
to be very much useful for the patient that have complex medical background.
Reduced Fraud and Improved Security: Personal data is very much important and is
very much valuable and profitable in the black market. Any kind of data breach can have very
bad effect (Manogaran et al. 2017). Considering this point, this firm has started using analytics
which will prevent any kind of security threat by analyzing changes in network.
Customer Relationship and partnership that will change in project
Key Partners
 Govern
ment
 Cloud
services
 Private
sector
 Retail
and
manufac
ture
 Financia
l service
Key Activities
 Integrati
ng
different
data
sources
in a
platform
relevant
for use
cases.
 Cleaning
,
Value Proposition
 Providing a
big data
analytics
solution
along with
providing
strategies
on method
of
implementi
ng services
in
Customer
Relationship
 Selling
directly
 Referra
ls
 Demos
on web
platfor
m.
Customer
Support
Providing
analytics
solution for both
large and middle
level client. This
merely includes
a large number
of sector like
 Financial
services
 Manufact

6ENTERPRISE PLANNING AND IMPLEMENTATION
provider
s
 Insuranc
e firms
transfor
ming
with the
notion of
discover
ing some
useful
informat
ion.
enterprise.
In addition,
this focus
on
customizin
g use cases.
 Measureme
nt of rate of
investment
that is
achieved
through big
data
implementa
tion.
 Interactive
dashboard
that helps
in reporting
and
storytelling
.
uring
 Insurance
 Healthcar
e
Solving some of
the high impact
on business
problem like
 Marketin
g
 Supply
chain
 Risk.
Key Resources
 Data
scientist
s
 Data
engineer
s
 Data
sources
Channels
 Confer
ence
and
events
 Web
 Worksh
op
Cost Structure Revenue Stream

7ENTERPRISE PLANNING AND IMPLEMENTATION
 Salaries
 Expenses due to internet usage
 Transport
 Rent
 Developing Software
 Annual Subscription
 Variable pricing
considering scope and
processes
 Price for different units
Values and Value chain of organization
Healthcare system has completely grown over the given period of time that ultimately
leads to duplicity of providers and even has disjoint services in general. Healthcare value chain is
considered to be very much similar to healthcare value chain in other industries like wholesalers,
providers, payers and professionals (Wang, Kung and Byrd 2018). The main target of healthcare
value proposition is all about providing best quality of care to most of patient at minimum cost.
Technology is the best mechanism for reducing the overall reduction of cost. This helps
in keeping a proper track record which is done in most part of economy (Behrisch et al. 2018).
Most of the organization have come up with electronic health records that helps in introducing
healthcare records. It does not only improves the efficiency but also help in ensuring continuous
care to patient.
Scope of Big Data Analytics
Technological development in the past few years has completely changed the way in
which the healthcare function (Attaran, Stark and Stotler 2018). Big data is in huge demand in
healthcare industry due to the point that huge amount of data is being generated every day.

8ENTERPRISE PLANNING AND IMPLEMENTATION
Healthcare data solution: Big data is very much helpful in keeping a track of huge
amount of data in systematic way (Tsai et al. 2016). This particular arrangement makes it very
much easier for most of the healthcare practitioners for accessing data. This also helps in saving
both time and money that is spend on collecting data.
Tracking Patient Vital: In emergency rooms and intensive care units, patient are often
plugged in device and sensor that monitors the blood pressure. It becomes very much tough for
humans to keep a track of this (Ahmed et al. 2017). Any kind of changes in the current pattern is
altered by doctor and even healthcare administrator.
Infrastructure of Big data analytics
Data booms aims to provide a huge opportunity which is required for finding new
efficiencies (Marjani et al. 2017). Big data analytics cannot exit in the vacuum. Big data merely
requires four important infrastructure like
Storage: Organization need to process huge amount of in-store support needed for big
data. Agencies need to focus on the decision to make investment in different storage solution.
Processing: Servers are merely intended for big data analytics that come up with
processing power for providing support to application.
Analytical software: Healthcare organization need to select big data products considering
the function of software and other factors like ease of usage and data security.
Networking: The huge amount of information which is shuttered back and forth in big
data analytics requires proper networking hardware.

9ENTERPRISE PLANNING AND IMPLEMENTATION
Conclusion
The above pages help us concluding that this report highlights big data analytics and its
use in future healthcare industry. He is even excited about the new technological development
which ask about the research feasibility for incorporating certain technologies. This will be done
in the present business model, which is very much important for organization. In addition, they
are opportunities in the health environment along with customer history.
Recommendation
Big data analytics is used for a list of things in healthcare industry like
Health Tracking: Big data analytics in addition to IoT, is completely making changes in
the way by which they can keep a track of statistics. There are some basic wearable which helps
in detecting sleep of patient, exercise and heart rate.
Reducing Cost: Big data is found to be as the best way that helps in saving cost for
different hospital. Predictive analysis is useful in tackling this issue by admission rates and helps
in allocating staff members.

10ENTERPRISE PLANNING AND IMPLEMENTATION
References
Ahmed, E., Yaqoob, I., Hashem, I.A.T., Khan, I., Ahmed, A.I.A., Imran, M. and Vasilakos,
A.V., 2017. The role of big data analytics in Internet of Things. Computer Networks, 129,
pp.459-471.
Attaran, M., Stark, J. and Stotler, D., 2018. Opportunities and challenges for big data analytics in
US higher education: A conceptual model for implementation. Industry and Higher
Education, 32(3), pp.169-182.
Behrisch, M., Streeb, D., Stoffel, F., Seebacher, D., Matejek, B., Weber, S.H., Mittelstaedt, S.,
Pfister, H. and Keim, D., 2018. Commercial visual analytics systems-advances in the big data
analytics field. IEEE Transactions on Visualization and Computer Graphics.
Firouzi, F., Rahmani, A.M., Mankodiya, K., Badaroglu, M., Merrett, G.V., Wong, P. and
Farahani, B., 2018. Internet-of-Things and big data for smarter healthcare: from device to
architecture, applications and analytics.
Lo’ai, A.T., Mehmood, R., Benkhlifa, E. and Song, H., 2016. Mobile cloud computing model
and big data analysis for healthcare applications. IEEE Access, 4, pp.6171-6180.
Manogaran, G., Lopez, D., Thota, C., Abbas, K.M., Pyne, S. and Sundarasekar, R., 2017. Big
data analytics in healthcare Internet of Things. In Innovative healthcare systems for the 21st
century (pp. 263-284). Springer, Cham.
Marjani, M., Nasaruddin, F., Gani, A., Karim, A., Hashem, I.A.T., Siddiqa, A. and Yaqoob, I.,
2017. Big IoT data analytics: architecture, opportunities, and open research challenges. IEEE
Access, 5, pp.5247-5261.

11ENTERPRISE PLANNING AND IMPLEMENTATION
Tsai, C.W., Lai, C.F., Chao, H.C. and Vasilakos, A.V., 2016. Big data analytics. In Big data
technologies and applications (pp. 13-52). Springer, Cham.
Wang, Y., Kung, L. and Byrd, T.A., 2018. Big data analytics: Understanding its capabilities and
potential benefits for healthcare organizations. Technological Forecasting and Social
Change, 126, pp.3-13.
Wang, Y., Kung, L., Wang, W.Y.C. and Cegielski, C.G., 2018. An integrated big data analytics-
enabled transformation model: Application to health care. Information & Management, 55(1),
pp.64-79.