What is Big Data and Why is it Important? -

Running head: BIG DATA
Big data
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Table of Contents
1. Introduction..................................................................................................................................3
1.1 Background of the study........................................................................................................3
1.2 Statement of problem.............................................................................................................3
1.3 Fishbone diagram and explanation........................................................................................4
1.4 Theoretical framework...........................................................................................................5
1.5 Limitations of the study.........................................................................................................5
1.6 Significance of the study.......................................................................................................5
2. Selection of project......................................................................................................................6
2.1 Characteristics of project problem.........................................................................................6
2.2 Stakeholders of the project....................................................................................................6
2.3 Availability of the technology...............................................................................................6
3. Project development life cycle (PDLC).......................................................................................7
4. Project schedule...........................................................................................................................8
4.1 Gantt chart.............................................................................................................................8
4.2 Network diagram...................................................................................................................9
4.3 Completion day of the project.............................................................................................10
5. Project development stages........................................................................................................11
5.1 Project initiation report........................................................................................................11
5.1.1 Risk Management plan.................................................................................................11
5.1.2 Stakeholder management plan......................................................................................11
5.2 Project Requirement Specification......................................................................................12
6. References..................................................................................................................................13

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1. Introduction
Big data technology is an evolving technology which is increasingly used in business
environments to categories the structure and unstructured data, thus the progress of any industry
depends upon the deployment of this technology.
1.1 Background of the study
Management of huge amount of datasets is huge problem in the hospitals and the
introduction of emerging technologies such as the big data technology is expected to address this
data. This kind of data management issues are faced in most of the global business organizations
all around the world1. At the same time, it can be said that some of the global business
organizations are enjoying the benefits of introducing this technology in this business.
1.2 Statement of problem
The progress of the hospital depends hugely on the data management procedure and it can be
termed as one of the most complex problems which are there in most of the hospitals all around
the world. The protection of the data is very much required due to the increasing amount of cyber
security attacks and threats coming from the insiders.
1 Zhou, Kaile, Chao Fu, and Shanlin Yang. "Big data driven smart energy management: From big data to big
insights." Renewable and Sustainable Energy Reviews 56 (2016): 215-225.

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1.3 Fishbone diagram and explanation
Figure 1: Fishbone diagram

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1.4 Theoretical framework
Figure 2: Framework of the research
1.5 Limitations of the study
The prime limitation of this research is that it has to be concluded within a short time.
Selection of the appropriate project was the other limitation of this project.
1.6 Significance of the study
Relevance of the study: The different stakeholders of a hospital can understand the
connotation of big data technology using this research.

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Rationale: Data management is one of the prime issues which are faced in every hospital
which can be resolved using the big data technology2.
Solution: The use of big data is much useful to address the data management issues. Ideas
and concepts must be taken from secondary sources.
2. Selection of project
Management of the data is a huge problem in most hospital industry. Thus, it can be
stated that introduction of big data can be very much useful to categorize the diverse types of
business data. The introduction of this technology must be done in numerous sub phases so that
the daily operations are not disrupted.
2.1 Characteristics of project problem
The business growth of hospitals depends upon the data protection procedure.
2.2 Stakeholders of the project
The investors and the management team of the hospitals using the big data technology.
2.3 Availability of the technology
The issue of data management can be resolved in the first place with the help of the big
data technology.
3. Project development life cycle (PDLC)
Initiation: Detailed documentation is one of the prime phase of this project and it is
considered in this phase of the project. The problem is defined in this phase.
2 Zaharia, Matei, et al. "Apache spark: a unified engine for big data processing." Communications of the ACM 59.11
(2016): 56-65.

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Planning: Selection of the tools is one of the prime aspects of this phase of this project.
Stakeholders required are also identified in this phase.
Enactment: The emerging technology are installed phase wise and it can be followed by
testing of the installed technology3.
Closure: Detailed documentation done again listing the end result with the initial
requirement file.
4. Project schedule
4.1 Gantt chart
ID Task
Mode
Task Name Duration Start Finish Predecessors Resource Names Cost
0 Introduction of big data in hospitals 100 days Thu 02-01-20Wed 20-05-20 $74,440.00
1 Phase 1: Initiation 6 days Thu 02-01-20 Thu 09-01-20 $6,960.00
2 Identification of resources 2 days Thu 02-01-20 Fri 03-01-20 Project
manager
$1,600.00
3 Identification of risks 2 days Mon 06-01-20 Tue 07-01-20 2 IT
expert,Project
manager
$2,800.00
4 Creation of communication plan 2 days Wed 08-01-20Thu 09-01-20 3 Facility manager,Project manager$2,560.00
5 Milestone 1 0 days Thu 09-01-20 Thu 09-01-20 4 Project manager $0.00
6 Phase 2: Planning phase 18 days Fri 10-01-20 Tue 04-02-20 $25,320.00
7 Analysis of the documentation 6 days Fri 10-01-20 Fri 17-01-20 5 Designer,Developer $6,240.00
8 Assigning roles and responsibilities 5 days Mon 20-01-20 Fri 24-01-20 7 Facility manager,Project manager$6,400.00
9 Identification of risks contingency
plan
5 days Mon 27-01-20 Fri 31-01-20 8 Facility
manager,Project
manager,IT
$9,400.00
10 Making the assumptions of this
project
2 days Mon 03-02-20 Tue 04-02-20 9 IT
expert,Designer,Developer
$3,280.00
11 Milestone 2 0 days Tue 04-02-20 Tue 04-02-20 10 Project manager $0.00
12 Phase 3: Enactment phase 70 days Wed 05-02-20Tue 12-05-20 $40,480.00
13 Understanding business
requirements
2 days Wed 05-02-20Thu 06-02-20 11 Facility
manager,Project
manager
$2,560.00
14 Incorporation of big data in a single
department
3 days Fri 07-02-20 Tue 11-02-20 13 Designer,Developer $3,120.00
15 Incorporation of big data in
administrative block
10 days Wed 12-02-20Tue 25-02-20 14 IT expert $6,000.00
16 Installing the technology to an
entire hospital
45 days Wed 26-02-20Tue 28-04-20 15 Developer $28,800.00
17 Analyse the entire procedure 10 days Wed 29-04-20Tue 12-05-20 16 DBA $0.00
18 Milestone 3 0 days Tue 12-05-20 Tue 12-05-20 17 Project manager $0.00
19 Phase 4: Implementation 6 days Wed 13-05-20Wed 20-05-20 $1,680.00
20 Detailed documentation 6 days Wed 13-05-20Wed 20-05-20 18 Server team $1,680.00
21 Milestone 4 0 days Wed 20-05-20Wed 20-05-20 20 Project manager $0.00
Project manager
IT expert,Project manager
Facility manager,Project manager
09-01
Designer,Developer
Facility manager,Project manager
Facility manager,Project manager,IT expert
IT expert,Designer,Developer
04-02
Facility manager,Project manager
Designer,Developer
IT expert
Developer
DBA
12-05
Server team
20-05
A M J J A S O N D J F M A M
Half 1, 2020 Half 2, 2020 Half 1, 2021
Figure 3: Scheduling
3 George, Gerard, Martine R. Haas, and Alex Pentland. "Big data and management." (2014): 321-326.

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4.2 Network diagram

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4.3 Completion day of the project
This project is expected to be completed within 20th May 2020.

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5. Project development stages
5.1 Project initiation report
5.1.1 Risk Management plan
Risk Description Owner Probability
(0-10)
Impact
(0-10)
Score Rank Contingency
plan
Adapting with the
change
This risk
might occur
among the
employees of
the hospital
Project
manage
r
5 5 25 3 Training
sessions
might solve
this problem
Lack of resources Lack of
knowledgeable
programmers
might lead to
this risk
Facility
manage
r
4 7 28 2 Hiring based
on experience
might resolve
this risk.
Time
management
Scheduling
issues
Project
manage
r
5 7 34 1 Following the
schedule after
each
milestone.
5.1.2 Stakeholder management plan
Stakeholder Interest Influence Reports to Medium of communication Frequency
Project manager High High Investor Email Weekly
Investor High High Project
manager
Email Weekly
Functional
manager
Medium High Project
manager
Email, video conferencing Daily

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5.2 Project Requirement Specification
Apache Hadoop, SQL, and Apache Spark are the technical skills required for
incorporating this technology4. The strategic planners of this project must be having concept data
visualization as well.
4 Chen, Min, Shiwen Mao, and Yunhao Liu. "Big data: A survey." Mobile networks and applications 19.2 (2014):
171-209.

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6. References
Chen, Min, Shiwen Mao, and Yunhao Liu. "Big data: A survey." Mobile networks and
applications 19.2 (2014): 171-209.
George, Gerard, Martine R. Haas, and Alex Pentland. "Big data and management." (2014): 321-
326.
Zaharia, Matei, et al. "Apache spark: a unified engine for big data processing." Communications
of the ACM 59.11 (2016): 56-65.
Zhou, Kaile, Chao Fu, and Shanlin Yang. "Big data driven smart energy management: From big
data to big insights." Renewable and Sustainable Energy Reviews 56 (2016): 215-225.