University of the Cumberlands Analytics Data Science & AI Discussion

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Complete the following assignment in one MS word document:

Chapter 1 –discussion question #1 & exercise 15 (limit to one page of analysis for question 15)

Chapter 2 – discussion question #1 & exercises 4, 5, and 15(limit to one page of analysis for question 15)

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ANALYTICS, DATA SCIENCE, AND ARTIFICIAL INTELLIGENCE

INSTRUCTOR'S NAME:

INSTITUTION NAME:

COURSE:

DATE:

CHAPTER ONE
DISCUSSION QUESTIONS
Question 1
DSS (Decision Support System)
This is an information system that supports business or organizational decision-making activities.
This system is intended to support managerial decision-makers in semi-structured and
unstructured decision situations.
DSS Application
OneNet is an agency that provides network services to educational institutions in the United
States. Because of the diversity of applications used by the client,
Question 2.
Typical activities in the intelligence phase are;
Data collection.
Problem classification and identification
Defining the organizational goals and objectives
The activities in the design phase are;
It involves analyzing and developing the likely course of the deed.
Knowing the problem and analyzing the probability solution.
Activities in the choice stage are;
Making of the actual decision and the assurance to follow a sure course of action.
Generating new alternatives to evaluate the performance of existing ones
Searching, recommending, and evaluating a suitable resolution to a model.
Activities in the implementation phase are;

putting a suggested resolution to work
collecting and studying data to improve the succeeding decision and study from the earlier.
Question 3.
• Intelligence
What kind of car am I looking for? (data collection)
What amount of money am I willing to send? (budget finance)
• Design
What brand should I go for?
What car would be suitable for my environment?
• Choice phase
What will be the car's use?
Mode of payment for the purchase?
• Implementation phase
Monthly amount needed for fuel consumption.
Maintenance fee.

Question 4.
A supermarket that deals with selling fresh vegetables and fruits require a system that allows
marking accounts receivable and payable while keeping track of the number of goods sold and
ensuring all orders are sent to the supplier on time. A good decision-making program will make
this activity efficient.

Question 5.
Decision making involves gathering information, identifying a decision, and evaluating the
substitute resolutions. In contrast, management involves setting an institution's strategy and
organizing its workers' exertions to achieve aims by applying accessible resources. Simon's 1977
philosophy of management process being synonymous with decision makes sense in the
following way.
Let's take a real-life example of a business person who would like to expand his business but
has limited capital for the expansion. The business person has to decide on his management to
get a good capital source to expand his business. In his decision-making, process managers will
generate various choices of why? When? How? Where? And whom? In the whole process,
managers will plan and set goals, whereby planning implies decision making.
Question 6
DSS are modified to help in decision making mainly.
DSS are developed to support other than make decision making automatic
DSS should have the ability to give feedback quickly to every need for decision making.
DSS ensures there is room for accommodation of changes due to its flexibility and ability to
adapt.
Question 7
Important aspects of encouraging true and timely data to boost admissions
Interrelation among the task force and institution regarding the process of admission to ensure
evaluation of various applications and proper process of communication
A concrete plan which is strategic and focuses on admissions
Question 8

Business intelligence (BI) comprises different application methods for analyses and information
to help its consumers arrive at better business decisions. In contrast, the Decision Support
Systems (DSS) helps users understand various information before decision-making.

Question 9
Comparisons
Both diagnostic and descriptive analytics consider the historical to describe what occurred
and why it occurred. Predictive and prescriptive analytics use past data to predict what will occur
in the forthcoming days and what arrangements you can pursue to move those outcomes.

Contradictions
Descriptive and prescriptive analytics will use the past data preserved in the databases and
equip you with a precise report. In contrast, predictive analytics establishes the patterns found in
the historical and transactional data to develop perils and forthcoming outcomes.
Predictive analytics anticipates what might happen in the future using the past data for
analysis such as sale reports, performance analysis matrix, company's revenue, and many others.
In contrast, descriptive and prescriptive analytics explain what happened in the past years by
using the preserved data such as the company's forecast reports, sentimental analysis, credit
notch analysis, etc.
Descriptive and prescriptive analytics will help the company know where it lies in present
facts, figures, and market. In contrast, predictive analytics will help the organization establish
how it will position in the market in the coming days and predict its actualities and figures.

Reports produced by descriptive and prescriptive analytics are very accurate. In contrast,
reports generated by predictive analytics are not a hundred per cent, and what is anticipated may
not happen in the future.

Question 10.
The following are the major issues in the implementation of business intelligence.
BI is costly. There is a lot of spending on planning and assets, particularly in small
enterprises. The cost of laying out BI is a critical concern among SMEs since they are hindered
by the restrictive expenditures of obtaining the exact programming.
Absence of training and execution. Organizations have outstandingly articulated necessities,
decent instrument arrangements, and a comprehensive BI system but still require expertise
(Eshtay et al.,2019). The reasons behind failed execution recurrently fluctuated and different,
similar to its cures.
Low use. Administrations will need to know why there is no change in the business
enterprise after employing the BI and may perceive that the business assessments of BI
speculations are not captured. This explains how the organization is not using the business
intelligence facility as typical with worldwide customs and best practices.
Installation and deployment. An unbearable BI service development and organizations would
not be easy to maintain. Thus, associations hurry to measure money related dimensions, and
however, these dimensions are necessary and are occasionally projected towards the end of the
period and are reactive.

EXERCISES
Question 1
Database management
Standard Query Language (SQL)
Data warehouse
Business Intelligence
Data mining
Data modelling software
Multimillion-line databases for student use
Web seminars
Case studies
Tutorials and projects
Online analytic processing
Data support systems
Teradata MicroStrategy
Training materials
Teradata student network
Operations research models
Expert systems
Online transaction processing
User interface
Business performance management

Question 2
National Basketball Association great teams embrace analytics-for instance, the Golden State
Warriors, The San Antonio Spurs apply analytics to help them in competitions.
National Football League is embracing innovation in analytics named catapult.
Question 3
a. What information does the data mining generate?
Data mining is a method used by institutions to change raw data to useful information. This is
achieved with the help of software to find patterns that assist consumers to boost their profits.
Data mining relies on data warehousing and the collection of data effectively.
b. How is this information helpful to management in decision making? (Be specific.)
Various business enterprises apply data mining to figure out certain information from huge data
volume to find answers to their businesses' problems. This, in turn, leads to better decision
making as ideas will be based on reliable information.
c. List the types of data that are mined.
Data kept in the institution's database.
The warehouse of data
Data that is transactional
Other forms of data, for example, spatial and multimedia data.
d. . Is this a DSS or BI application? Why?
It is a Business Intelligence (BI) application. Basically, I developed the mining of data to aid in
understanding information concerning big data. It is solely based on the management and storage
of data, presenting necessary data in a useful format, analyzing data, transforming, loading,
extracting transaction data, and providing data to the business analysts.

Question 4.
a. What were the drivers for the DW/BI project in the company?
The potential of both to help produce better business decisions using accurate, detailed, and
timely information.
The potential of both to find existing expansion opportunities.
The potential of both to help reduce costs and wastage by noting these areas and working on
them.
b. What strategic advantages were realized?
Time was saved as data houses and business intelligence systems standardize, store, an...


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