WA1
Residency Assignment 1 – Reflective Paper
Provide a reflection of at least 500 words (2 pages double spaced excluding Title and Reference pages) that summarizes what you feel are the most important or interesting concepts you have learned so far in this cloud computing course. Please indicate if the learning was new to you or reinforced knowledge that you already had.
Requirements
· The reflective paper should be 500-600 words (deductions will apply if word count is not observed).
· The paper should include a title page and reference page (word count does not include title and reference pages)
· An abstract is not required for this assignment
· Correct use of APA 7th edition guidelines is required
Save as a Word document and submit in blackboard
Analytics, Data Science and A I:
Systems for
Decision Support
Eleventh Edition
Chapter 1
Overview of Business Intelligence, Analytics, Data
Science, and Artificial Intelligence: Systems for
Decision Support
Slide in this Presentation Contain Hyperlinks. JAWS users should be
able to get a list of links by using INSERT+F7
ITS 531: Business Intelligence
Professor: Miguel Buleje, Ph.D
Learning Objectives (1 of 2)
1.1 Understand the need for computerized support of
managerial decision making.
1.2 Understand the development of systems for providing
decision-making support.
1.3 Recognize the evolution of such computerized support
to the current state of analytics/data science and
artificial intelligence.
1.4 Describe the business intelligence (B I) methodology and
concepts.
1.5 Understand the different types of analytics and review
selected applications.
Learning Objectives (2 of 2)
1.6 Understand the basic concepts of artificial intelligence
(A I) and see selected applications.
1.7 Understand the analytics ecosystem to identify various
key players and career opportunities.
Decision Making Process (1 of 2)
The four step managerial process:
• Define the
problem
• Construct a model
• Identify and evaluate possible solutions
• Compare, choose, and recommend a solution to the
problem
Decision Making Process (2 of 2)
A more detailed process is offered by Quain (2018):
1. Understand the decision you have to make.
2. Collect all the information.
3. Identify the alternatives.
4. Evaluate the pros and cons.
5. Select the best alternative.
6. Make the decision.
7. Evaluate the impact of your decision.
The Influence of the External and Internal Environments
on the Process (As part of the decision making process)
• Technology, I S, Internet, globalization,
…
• Government regulations, compliance, …
– Political factors
– Economic factors
– Social and psychological factors
– Environment factors
• Need to make rapid decision, changing market conditions,
…
Technologies for Data Analysis and Decision Support
• Group communication and collaboration
• Improved data management
• Managing giant data warehouses and Big Data
• Analytical support
• Overcoming cognitive limits
• Knowledge management
• Anywhere, anytime support
• Innovation and artificial intelligence
Decision-making Processes And Computerized Decision Support
Framework
• What is “Decision making”?
• Simon’s Decision Making Process
– Proposed in 1977 by Herbert Alexander Simon (an
American economist and political scientist)
– Includes three phases:
1. Intelligence
2. Design
3. Choice
4. [+] Implementation
5. [+] Monitoring
The Decision-Making Process
Decision-making Processes (1 of 2)
Phase 1 – The Intelligence Phase: Problem (or Opportunity)
Identification
• Issues in data collection
• Problem classification
• Problem decomposition
• Problem ownership
Decision-Making Processes (2 of 2)
Phase 2 – The Design Phase
– Models
Phase 3 – The Choice Phase
– Evaluating alternatives
Phase 4 – The Implementation Phase
– Implementing the solution
Phase 5 – Monitoring
• Phase 4 and 5 were not part of Simons’ original model
The Classical Decision Support System
Framework
• Degree of structuredness / Type of decision
– Structured, unstructured, semistructured problems
• Type of control
– Operational, managerial, strategic
• The decision Support matrix
• Computer support for …
– Structured decisions
– Unstructured decisions
– Semistructured problems
Decision Support Framework
Key Characteristics and Capabilities of Decision Support System (D S S)
Components of a D S S (1 of 2)
• The Data
Management
System
– D S S database
– Database
management
system (D B M S)
– Data directory
– Query facility
Components of a D S S (2 of 2)
• The Model Management Subsystem
– Model base
– Model Base Management System (MBMS)
– Modeling language
– Model directory
– Model execution, integration, and command
processor
• The User Interface Subsystem
• The Knowledge-Based Subsystem
Evolution of Computerized Decision Support to Business
Intelligence, Analytics, Data Science
Figure 1.5 Evolution of Decision Support, Business Intelligence, Analytics, and A I.
A Framework for Business Intelligence
• Definitions of business intelligence (B I)
– A conceptual framework for managerial decision
support. Combines architecture, databases (or any
data warehouse), analytical tools, and applications.
• A brief history of B I
• The architecture of B I
– Data warehousing (D W) [as a foundation of B I]
– Business Performance Management (B P M)
– User interface (dashboard)
• Appropriate planning and alignment of B I with the
business strategy
Evolution of Business Intelligence (B I)
The Origins and Drivers of B I
Figure 1.7 A High-Level Architecture of B I.
Source: Based on W. Eckerson. (2003). Smart Companies in the 21st Century: The Secrets of Creating Successful Business Intelligent Solutions
Seattle, W A: The Data Warehousing Institute, p. 32, Illustration 5.
Data Warehouse Framework
Analytics Overview (1 of 2)
• Three types of analytics
– Descriptive (or reporting) analytics …
– Predictive analytics …
– Prescriptive analytics …
Analytics Overview (2 of 2)
Artificial Intelligence Overview
• What Is artificial intelligence (A I)?
– Technology that can learn to do things better over time.
– Technology that can understand human language.
– Technology that can answer questions.
• The major benefits of A I
– Reduction in the cost of performing work.
– Work can be performed much faster.
– Work is more consistent than human work.
– Increased productivity, profitability, …
Societal Impacts of A I
• Impact on agriculture
• Contribution to health and medical care
• Other societal applications
– Transportation
– Utilities
– Education
– Social services
– Smart cities / Transit & Others
1/9/2021 Originality Report
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%5
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SafeAssign Originality Report
Spring 2021 – Business Intelligence (ITS-531-M52) – Full Term • Week 1 Assignment
%66Total Score: High riskDayakar Retineni
Submission UUID: 14f504bc-9cb0-e730-e7a0-61db2a6cbf8
8
Total Number of Reports
2
Highest Match
75 %
Exercise_15 x
Average Match
66 %
Submitted on
01/09/21
10:18 PM CST
Average Word Count
39
5
Highest: Discussion_Q1 x
%57Attachment 1
Institutional database (10)
Student paper Student paper
Student paper
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Student paper Student paper
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Global database (1)
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Top sources (3)
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View Originality Report – Old Design
Word Count: 469
Discussion_Q1 x
2 8
11
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5 9
10
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2 Student paper 8 Student paper 1 Student paper
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1/9/2021 Originality Report
https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=8bef4de2-bc2f-4ca9-89c8-1f919efd6b9a&course_id=_1… 2/6
Source Matches (15)
Student paper 67%
Student paper 64%
Student paper 69%
BUSINESS INTELLIGENT 2
BUSINESS INTELLIGENT 2
Business Intelligent
Dayakar Retineni
01/09/2021
Business and Intelligent Decision Support Systems: A decision support system is a data system that assists a business make decisions that require sequence,
judgment, and determination of actions. A decision support system generates data reports that are detailed by collecting and analyzing information. For that reason, a
DSS is distinct from a common operations application, where it aims to gather information though not to analyze the information (Corporate Finance Institute, 2020).
A DSS is utilized in an organization by the planning departments like the operations department that gathers information and develops a report that can be uti-
lized by managers for making decisions. One of the vital applications of DSS in a company is real-time reporting. It can be very important for an organization that par-
ticipate in just-in-time inventory management. Business Intelligence: Business intelligence can be applied in sales intelligence. A critical application of Business Intelli-
gence concentrates on where the business meets the consumer. The negotiation of a customer is an essential skill that every sales department of an organiza-
tion should bring up. Sometimes it can be hard to move leads along the pipeline and convince potential consumer to buy the organization’s products and services.
Business Intelligence collects information on particular KPIs such as conversion rates, customer demographics, and sales metrics. It then organizes the in-
formation into structured visualizations like scattergrams, pie charts and graphs. The users can recognize trends from this data that give insights into the operation of
the business and consumer behavior. Knowing the client means the organization can serve them better. The dashboards and reports developed by business intelli-
gence are also very helpful for back up claims with easy-to-interpret data for potential customers (Bergen Adair, 2020). The information gleaned from business
intelligence analysis can be utilized by managers to make decisions that are data-driven based on hard data and forecasting. Analytics: One of the applications of ana-
lytic in an organization is measuring performance. Companies can use analytical tools to determine the performance benchmark of the employee and coach incoming
and existing workers to understand those qualities and their effects (Michiganstateuniversity, 2020). Some companies analyze travel data and billing hours, and hu-
man performance information to assist people boost their professional performance and energy, and wellness.
References
Bergen Adair. (2020, November 25). Business intelligence applications | Application of BI in 2020. Software Selection Tool | Software Selection Man-
agement | SelectHub. https://www.selecthub.com/business-intelligence/4-key-bi-applications/ Corporate Finance Institute. (2020, August 1). Decision sup-
port system (DSS) – Overview, components, types. https://corporatefinanceinstitute.com/resources/knowledge/other/decision-support-system-dss/ Michiganstateuni-
versity.
(2020, August 4)
. Five applications of data analytics in people management. Michigan State University. https://www.michiganstateuniversi-
tyonline.com/resources/business-analytics/applications-of-data-analytics-in-people-management/
1
1
2
3 2
2
4 5 6
7 8
7 9 10 11
1
Student paper
Business and Intelligent Decision Support
Systems:
Original source
Decision Support Systems
1
Student paper
A DSS is utilized in an organization by the
planning departments like the operations
department that gathers information and
develops a report that can be utilized by
managers for making decisions.
Original source
A DSS is usually used by planning and op-
erations departments in a company,
which gathers data and generates a re-
port that can be used for decision- mak-
ing by managers in the company
2
Student paper
The negotiation of a customer is an es-
sential skill that every sales department
of an organization should bring up.
Sometimes it can be hard to move leads
along the pipeline and convince potential
consumer to buy the organization’s prod-
ucts and services.
Original source
Customer negotiation is a crucial skill
that every organization’s sales depart-
ment should foster Sometimes it can be
hard to move leads along the pipeline
and convince potential clients to buy
your product or service
1/9/2021 Originality Report
https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=8bef4de2-bc2f-4ca9-89c8-1f919efd6b9a&course_id=_1… 3/6
Student paper 84%
Student paper 74%
Student paper 80%
Student paper 68%
Student paper 100%
Student paper 100%
Student paper 80%
Student paper 88%
Student paper 100%
3
Student paper
Business Intelligence collects information
on particular KPIs such as conversion
rates, customer demographics, and sales
metrics.
Original source
Business Intelligence collects data for
specific KPIs, such as customer demo-
graphics, conversion rates, and sales
metrics
2
Student paper
It then organizes the information into
structured visualizations like scatter-
grams, pie charts and graphs. The users
can recognize trends from this data that
give insights into the operation of the
business and consumer behavior.
Original source
Then it organizes this data into struc-
tured visualizations like graphs, pie
charts and scatter grams Users can iden-
tify trends from this data that provide in-
sights into customer behavior and busi-
ness operations
2
Student paper
The information gleaned from business
intelligence analysis can be utilized by
managers to make decisions that are
data-driven based on hard data and
forecasting.
Original source
Managers can utilize the information
gleaned from BI analysis to make data-
driven decisions based on hard data and
forecasting
4
Student paper
(2020, November 25).
Original source
October 25, 2020
5
Student paper
Business intelligence applications | Appli-
cation of BI in 2020.
Original source
Business Intelligence Applications | Ap-
plication Of BI In 2020
6
Student paper
Software Selection Tool | Software Selec-
tion Management | SelectHub.
Original source
Software Selection Tool | Software Selec-
tion Management | SelectHub
7
Student paper
https://www.selecthub.com/business-in-
telligence/4-key-bi-applications/ Corpo-
rate Finance Institute.
Original source
https://www.selecthub.com/business-in-
telligence/4-key-bi-applications/# Galetto,
M
8
Student paper
Decision support system (DSS) – Over-
view, components, types. https://corpo-
ratefinanceinstitute.com/resources/know
ledge/other/decision-support-system-
dss/ Michiganstateuniversity.
Original source
Decision Support System (DSS) – Over-
view, Components, Types Retrieved 30
August 2020, from https://corporatefi-
nanceinstitute.com/resources/knowl-
edge/other/decision-support-system-dss/
7
Student paper
(2020, August 4).
Original source
(2020, August 4)
1/9/2021 Originality Report
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Institutional database (5)
Student paper Student paper Student paper
Student paper Student paper
Internet (2)
fool medscape
Top sources (3)
Excluded sources (0)
Student paper 82%
Student paper 100%
Student paper 92%9
Student paper
Five applications of data analytics in peo-
ple management.
Original source
5 Applications of Data Analytics in People
Management
10
Student paper
Michigan State University.
Original source
Michigan State University
11
Student paper
https://www.michiganstateuniversityon-
line.com/resources/business-
analytics/applications-of-data-analytics-
in-people-management/
Original source
https://www.michiganstateuniversityon-
line.com/resources/business-
analytics/applications-of-data-analytics-
in-people-management/ Ong, H
Word Count: 321
Exercise_15 x
3 6 7
4 2
5 1
5 fool 3 Student paper 6 Student paper
1/9/2021 Originality Report
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Source Matches (8)
medscape 63%
Student paper 72%
Student paper 67%
IBM WATSON 2
IBM WATSON 2
IBM Watson
Dayakar Retineni
01/09/2021
IBM Watson
Exercise 15
This report aims to summarize IBM Watson’s activities in the field of healthcare. IBM Watson Health was developed to aid find solution to some of the most seri-
ous challenges concerning health in the world via AI, data, and analytics. By incorporating augmented intelligence and human experts, IBM Watson health aids
healthcare researchers and professionals all over the globe interpret knowledge and data into understanding to make more decisions that are informed on care in
many health facilities, hospitals and a large, expanding body of evidence back the use of Watson in healthcare. (Speights, 2018) The system helps healthcare programs
by sifting via unstructured and structured client data and the contemporary evidence-based medicine, regulatory requirements, and quality standards. IBM Wat-
son for Drug Discovery helps accelerate the process of bringing a new drug to the market. The IBM Watson does not recommend for treatment of cancer on itself. Still,
the role possibility is for artificial intelligence to enhance the overall and consistent quality of cancer care very quick to free up healthcare providers to spend more
time in care delivery to the patients. One difficulty with development of drug that is underappreciated is recognizing which clients meet the required standard for
distinct clinical trials. This is an incredibly intimidating job with cancer drugs, taking into account that there are almost one thousand cancer immunotherapies in that
are being developed and even more in pre-clinical testing, most of which would promote human studies. This is where IBM Watson’s Clinical Trial Matching system
comes in. The system eradicates the necessity to contrast clinical trial enrollment basis manually with client medical information.
References
Speights, K. (2018, January 12). 4 ways IBM Watson’s artificial intelligence is changing healthcare. The Motley Fool.
https://www.fool.com/investing/2018/01/12/4-ways-ibm-watsons-artificial-intelligence-is-chan.aspx
1
2
3
4
5
6 7 6
1
Student paper
IBM WATSON 2 IBM WATSON 2
Original source
IBM Watson Oncology IBM Watson
Oncology
2
Student paper
This report aims to summarize IBM Wat-
son’s activities in the field of healthcare.
Original source
IBM Watson’s activities in the healthcare
field
3
Student paper
By incorporating augmented intelligence
and human experts, IBM Watson health
aids healthcare researchers and profes-
sionals all over the globe interpret knowl-
edge and data into understanding to
make more decisions that are informed
on care in many health facilities, hospi-
tals and a large, expanding body of evi-
dence back the use of Watson in health-
care. (Speights, 2018) The system helps
healthcare programs by sifting via un-
structured and structured client data and
the contemporary evidence-based medi-
cine, regulatory requirements, and quali-
ty standards.
Original source
IBM Watson Health, by combining aug-
mented intelligence and human experts,
helps researchers and professionals
around the world to translate knowledge
and data into insights into making more
informed decisions regarding care in sev-
eral health organizations and hospitals
The system functions by helping health-
care teams shift through unstructured
and structured patient data, regulatory
requirements, quality standards, and the
latest evidence-based medicine
(Speights, 2018)
1/9/2021 Originality Report
https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=8bef4de2-bc2f-4ca9-89c8-1f919efd6b9a&course_id=_1… 6/6
Student paper 66%
fool 67%
Student paper 100%
Student paper 100%
Student paper 100%
4
Student paper
IBM Watson for Drug Discovery helps ac-
celerate the process of bringing a new
drug to the market.
Original source
IBM Watson for Drug Discovery is said to
be helping accelerate the process of find-
ing new drugs
5
Student paper
One difficulty with development of drug
that is underappreciated is recognizing
which clients meet the required standard
for distinct clinical trials. This is an incred-
ibly intimidating job with cancer drugs,
taking into account that there are almost
one thousand cancer immunotherapies
in that are being developed and even
more in pre-clinical testing, most of
which would promote human studies.
This is where IBM Watson’s Clinical Trial
Matching system comes in.
Original source
Matching patients with clinical trials One
underappreciated difficulty with drug de-
velopment is identifying which patients
meet the criteria required for different
clinical trials This is an especially daunt-
ing task with cancer drugs, considering
that there are nearly 1,000 cancer im-
munotherapies in development, and
even more in pre-clinical testing, many of
which could advance to human studies
That’s where IBM Watson’s Clinical Trial
Matching (CTM) system comes into play
6
Student paper
(2018, January 12).
Original source
(2018, January 12)
7
Student paper
4 ways IBM Watson’s artificial intelligence
is changing healthcare.
Original source
4 Ways IBM Watson’s Artificial Intelli-
gence Is Changing Healthcare
6
Student paper
The Motley Fool.
https://www.fool.com/investing/2018/01/
12/4-ways-ibm-watsons-artificial-intelli-
gence-is-chan.aspx
Original source
The Motley Fool https://www.fool.com/in-
vesting/2018/01/12/4-ways-ibm-watsons-
artificial-intelligence-is-chan.aspx
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