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BusinessIntelligence
BusinessIntelligence
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1
The autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools
Business Analytics
Data Science
Business Intelligence
Data Analytics
2
Data that is too large or toocomplex to be managedusing traditional dataprocessing, analysis, andstorage techniques.
Business Intellgence
Data Revolution
Artificial Intelligence
Big Data
3
What differentiates predictive analytics to descriptive analytics?
Predictive analytics can describe anomalies in the data
Predictive analytics can predict patterns
None of the choices
Predictive analytics can explore data
4
Which of the following is not an example of big data or big data source?
Grading sheet
Stocks Exchange
Social Media Data
Black box
5
Which among the following is the least important organizational driver for promoting or implementing BI?
Risk Tolerance
Strategy
Number of Employees
Skills
6
Business Intelligence allows what
Analyzing data for business decisions
All of the above
Synthesize Information
Gathering and Storing data
7
Which among the following is not a primary consideration in defining a correct BI architecture?
Determine organizational support
Determine needs for operations and management
Infer data needs and copy other models
Understand business strategy
8
For some, analytics is the process of analyzing information from a particular domain.
True
False
9
What are the types of data
Qualitative
None of the above
Both of the above
Quantitative
10
Which among the following is not used for Data Visualization?
MySQL
Tableau
PowerBI
Python
11
What best describes a data warehouse
forecasting support database
data gathered together in one location
Cloud!
consistent database source that consolidateinformation from multiplesources
12
A umbrella term that includes the applications, tools, and best practices that enable access and analysis of information
Business Intelligence
Analytics
Business Analytics
AI
13
Which among the following is the least important organizational driver for promoting or implementing BI?
Skills
Strategy
Number of Employees
Risk Tolerance
14
Too many organizations are going the self-service route and are failing atmeeting their data needs.
True
False
15
A class of information systems that facilitate and manage transaction orientedapplications
Online Process Controller
Online Analytics Platform
Online database
Online Transaction Processing
16
There is a SOLID demarcation between styles of using data
True
False
17
What is OLAP?
Online Analytics Program
Online Analytics Processes
Online Analytical Program
Online Analytical Processing
18
The information continuum starts with having information and generating insights
False
True
19
In the field of BI, why do you need to learn many IT approaches?
A mastery over technical tools fuels your ability to be acompetent analyst
All of the choices
You will understand the overall BI Architecture
More likely you will NOT get an entry level BI or
20
Which of the following decision factors is not specific for BI?
Are the results intended to be repeatable?
Is AI or machine learning involved?
Are you using the result to make decisions or monitor progress?
Will the result be operational?
21
Business Analytics cannot
None of the above
Understand trend
Analyze the past
Predict the Future
22
A umbrella term that includes the applications, tools, and best practices that enable access and analysis of information
Business Intelligence
Analytics
Business Analytics
AI
23
Which is not a good principle in creating data visuals?
The Chart should be colorful
The chart should have graphical integrity
The Chart should tell a story
The chart should minimize graphical complexity
24
Who can use BI tools?
Business Analyst
Everyone!
Managers
IT
25
Which is the first chart considered to be a very good example of data visualization?
The 1812 March
The Seven Visuals
None of the choices
Coxcombs
26
Which is the correct hierarchy of data use solutions?
Descriptive > Diagnostic > Predictive > Prescriptive
Diagnostic > Descriptive > Predictive > Prescriptive
Descriptive > Exploratory > Predictive > Prescriptive
Diagnostic > Exploratory > Predictive > Prescriptive
27
In this stage, we verify that the patterns produced by the data mining algorithms occur in the widerdata set Result
Data Visalization
Data Mining
Pre PRocessing
Results Validation
28
Data Visualization is a part of data science.
False
True
29
Which force did not fuel the BI/BA phenomenon?
Businesses are lazy to keep old computers
Emergence of better ways of using analytics system
Best practices in data management
Explosion of Data
30
These indicators are quantifiable measurements with specific targets that the companies need to monitor.
Goals
Vision
Target
KPIs
31
Business Intelligence is a business magic
False
True
32
Which of the following describes Big data
Data streams have unparalleled speed of velocity
Organizations collect data from almost all possible sources
Data comes in all variety of forms
All of the choices
