What is meant by "degrees of uncertainty and risk" in decision making?

Evaluating alternatives based on gathered knowledge and risk assessment

What does K-means clustering aim to do?

C) Segment a dataset into groups

What does "Retainability" in usability refer to?

B) How easily users can remember information over time

What is a characteristic of Non-volatile data?

B) It does not change or get updated

What does Big Data refer to?

Large volumes of structured and unstructured data

Which of the following is a method used in User Testing?

B) Directly placing the product in the hands of users

What is the main purpose of a Data Mart?

B) To focus on a specific subject or domain

What distinguishes a Snowflake schema from a Star schema?

C)Snowflake schema is built from smaller tables that can be further divided

What is meant by "Data pixel/pixel ratio"?

B) A theory on what to keep or remove to enhance understanding

What is one major challenge of scaling BI usage?

Increased commitment and resource load

B) A visual tool for presenting important information based on data

What does Effectiveness refer to in Dashboard usability?

C) The quality of task performance

What is a Data Warehouse?

B) collection of data produced to support decision-making for organizations

A) A visual tool for presenting important information based on data

Atechnique for finding and analyzing useful information from large datasets

What does Usability in a Dashboard refer to?

B) How effectively users can interact with the dashboard

Which of the following describes Subject-oriented data?

B) Data stored in relation to a specific subject

What is a key guideline for Dashboard design?

B) Present data in a way that fits its purpose

What does Automated Decision Making involve?

aking actions when there is high confidence of success

What is Prescriptive Analysis?

B) Determining business decisions based on analysis of information

What distinguishes data-driven organizations?

They make decisions based on data analysis and insights

What is the focus of the Data Preparation phase?

C) To prepare identified data for analysis

What does CRISP-DM stand for?

B) Cross-Industry Standard Process for Data Mining

What happens in the Deployment phase?

B) Findings and knowledge are shared with the client or user

What is self-service BI?

Tools allowing casual users to create reports independently

What is the main task during the Data Understanding phase?

B) Identifying relevant datasets for the project

In the Model Building phase, what is the main focus?

A) Creating models that analyze prepared data

What does a Dashboard Developer do?

They visualize analyzed data for easy monitoring and decision-making

What is Self-service BI?

A system allowing users to generate reports and insights independently

What does Usability in a Dashboard refer to?

C) How effectively users can interact with the dashboard

What does Business Intelligence primarily aim to achieve?

B) Summarizing and compiling data into information for decision-making

What is the focus of the UXD cycle's Analysis phase?

B) Identifying functional and non-functional requirements

How does a Data Mart differ from a Data Warehouse?

B) A Data Mart focuses on a specific subject

What is Prototyping in the context of Dashboard design?

b) A testing phase to evaluate functionality

What does a What-if Analysis tool do?

It explores different scenarios by changing input variables

What is the main responsibility of an ETL Programmer?

To extract, transform, and load data into a Data Warehouse

Which principle is emphasized by "Aesthetic and minimalist design"?

B) Simple design enhances usability

What is a key characteristic of data-driven organizations?

They leverage data insights for strategic planning and growth

What is a Confusion Matrix used for?

B) Estimating and evaluating the performance of a classification model

What is the focus of the decision-making process?

Comparing alternatives based on knowledge gathered

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BUSINESS INTELLIGENCE TENA QUESTION HIHI

70 termsStudBud Administration23 plays

THIS IS FOR THOSE TENTA ENTHUSIASTIC

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Questions 70

Answers

1
What percentage of organizations typically manage to become data-driven?
40-50%
25-30%
60-70%
10-15%
2
What is meant by "degrees of uncertainty and risk" in decision making?
The speed of data processing
The aesthetic quality of reports
Evaluating alternatives based on gathered knowledge and risk assessment
The amount of data available
3
What does K-means clustering aim to do?
C) Segment a dataset into groups
D) Store data efficiently
A) Create complex decision trees
B) Predict future trends
4
What does "Retainability" in usability refer to?
A) How fast a user can complete a task
D) The number of data points displayed
C) The visual appeal of the dashboard
B) How easily users can remember information over time
5
What is a characteristic of Non-volatile data?
C) It is always archived
A) It changes frequently
D) It is deleted after use
B) It does not change or get updated
6
What does Big Data refer to?
Small datasets
Data that is easy to analyze
Large volumes of structured and unstructured data
Data collected from one source only
7
Which of the following is a method used in User Testing?
A) Reviewing design documents
B) Directly placing the product in the hands of users
D) Analyzing market trends
C) Conducting surveys only
8
What is the main purpose of a Data Mart?
B) To focus on a specific subject or domain
D) To integrate various data sourcesCorrect Answer: B
C) To create backups of data
A) To store large volumes of data
9
What distinguishes a Snowflake schema from a Star schema?
B) Star schema has more tables
C)Snowflake schema is built from smaller tables that can be further divided
A) Snowflake schema is simpler
D) Star schema is only used for OLAP
10
What is meant by "Data pixel/pixel ratio"?
A) The total number of pixels on a screen
C) The size of the dashboard interface
B) A theory on what to keep or remove to enhance understanding
D) The color depth of the display
11
What is one major challenge of scaling BI usage?
Simplified decision-making
Increased commitment and resource load
Decreased load on resources
Enhanced organizational culture
12
Which architecture features a central data warehouse?
C) Centralized architecture
B) Hub and Spoke architecture
D) Distributed architecture
A) Decentralized architecture
13
What is a Dashboard?
D) A type of software for coding
A) A financial report
B) A visual tool for presenting important information based on data
C) A document storage system
14
What does Effectiveness refer to in Dashboard usability?
B) The speed of data processing
C) The quality of task performance
A) User satisfaction levels
D) The number of users
15
According to McAfee and Brynjolfsson (2012), how much more productive are data-driven organizations on average?
D) 15%
B) 5%
C) 10%
A) 2%
16
What is a Data Warehouse?
B) collection of data produced to support decision-making for organizations
A) A place to store physical documents
C) A type of software for data entry
D) A collection of unrelated data
17
What is a Dashboard?
C) A financial report
B) A document storage system
D) A type of software for coding
A) A visual tool for presenting important information based on data
18
What is Data Mining?
C) A type of data entry
Atechnique for finding and analyzing useful information from large datasets
B) A method for storing data
D) A form of data visualization
19
What does Usability in a Dashboard refer to?
B) How effectively users can interact with the dashboard
D) The size of the dashboard
A) The overall aesthetic design
C) The number of features available
20
Which of the following describes Subject-oriented data?
C) Random data entries
D) Data that changes frequently
B) Data stored in relation to a specific subject
A) Data not related to any specific subject
21
What does "veracity" refer to in the context of big data?
The speed of data processing
The variety of data types
The volume of data
The quality of data
22
What is a key guideline for Dashboard design?
B) Present data in a way that fits its purpose
C) Include irrelevant information for context
A) Use as many colors as possible
D) Avoid using any visuals
23
What does Automated Decision Making involve?
Reviewing historical data
Consulting with multiple stakeholders
Making decisions without any data
aking actions when there is high confidence of success
24
What is Prescriptive Analysis?
A) Analyzing historical data to find patterns
D) Collecting raw data
C) Visualizing data trends
B) Determining business decisions based on analysis of information
25
What distinguishes data-driven organizations?
They focus only on qualitative data
They rely solely on intuition for decisions
They make decisions based on data analysis and insights
They avoid using any form of data
26
What is the focus of the Data Preparation phase?
B) To evaluate model accuracy
C) To prepare identified data for analysis
A) To gather feedback from users
D) To visualize data trends
27
Which of the following is NOT a concept of Usability?
D) Safety
B) Aesthetic appeal
A) Effectiveness
C) Learnability
28
What does CRISP-DM stand for?
A) Continuous Research in Information Systems
D) Collaborative Research in Information Processing
C) Centralized Resource in System Data Management
B) Cross-Industry Standard Process for Data Mining
29
What are the three "V"s that define big data?
Volume, Veracity, Validity
Volume, Variety, Velocity
Variety, Volume, Visualization
Value, Veracity, Velocity
30
What happens in the Deployment phase?
D) The project is archived
A) The model is tested for accuracy
B) Findings and knowledge are shared with the client or user
C) Data is cleaned and prepared
31
What is self-service BI?
A method for manual report generation
A type of training for BI experts
A tool for IT experts only
Tools allowing casual users to create reports independently
32
What is the main task during the Data Understanding phase?
B) Identifying relevant datasets for the project
D) Deploying the final model
C) Defining the project purpose
A) Building the data model
33
What does ETL stand for in data management?
D) Extract, Transmit, List
C) Enhance, Transfer, Log
B) Evaluate, Test, Launch
A) Extract, Transform, Load
34
In the Model Building phase, what is the main focus?
D) Deploying the final product
B) Evaluating user experience
A) Creating models that analyze prepared data
C) Cleaning the data
35
What does a Dashboard Developer do?
They manage IT infrastructure
They conduct market research
They focus on writing code for applications
They visualize analyzed data for easy monitoring and decision-making
36
What is Self-service BI?
A manual reporting process
A BI tool that requires IT support
A system allowing users to generate reports and insights independently
A method of collecting raw data
37
What does Usability in a Dashboard refer to?
B) The overall aesthetic design
D) The size of the dashboard
A) The number of features available
C) How effectively users can interact with the dashboard
38
Which type of Data Warehouse is designed for larger organizations?
A) Data Mart
C) Enterprise Data Warehouse
B) Personal Data Warehouse
D) Small Business Data Warehouse
39
What does Business Intelligence primarily aim to achieve?
C) Storing data indefinitely
B) Summarizing and compiling data into information for decision-making
D) Analyzing past performance
A) Collecting data
40
What is the focus of the UXD cycle's Analysis phase?
D) Presenting the data
C) Designing the user interface
A) Testing the product
B) Identifying functional and non-functional requirements
41
How does a Data Mart differ from a Data Warehouse?
B) A Data Mart focuses on a specific subject
D) There is no difference
A) A Data Mart is larger
C) A Data Mart stores data permanently
42
Which OLAP operation allows you to view data from different perspectives?
B) Roll up
D) Transform
A) Drill down
C) Slice and dice
43
What is Prototyping in the context of Dashboard design?
A) The final version of the product
b) A testing phase to evaluate functionality
C) A method for data storage
D) A marketing strategy
44
Question: What drives decisions in a data-driven organization?
C) Data and analysis
D) Random guessing
A) Opinions of the highest paid person
B) Industry veterans' suggestions
45
What does a What-if Analysis tool do?
It generates random data
It cleans data for analysis
It predicts future trends
It explores different scenarios by changing input variables
46
What is the main responsibility of an ETL Programmer?
To provide technical support
To analyze business performance
To design user interfaces
To extract, transform, and load data into a Data Warehouse
47
Which principle is emphasized by "Aesthetic and minimalist design"?
B) Simple design enhances usability
D) Complexity shows sophistication
A) More features make better products
C) Bright colors are essential
48
What is a key characteristic of data-driven organizations?
They leverage data insights for strategic planning and growth
They avoid using technology in decision-making
They prioritize intuition over data
They make decisions based solely on historical trends
49
Which method focuses on finding associations between items in transactions?
A) Clustering
B) Classification
C) Association
D) Prediction
50
What is a Confusion Matrix used for?
A) Visualizing data
B) Estimating and evaluating the performance of a classification model
C) Cleaning data
D) Storing historical data
51
What is the focus of the decision-making process?
Analyzing qualitative data only
Reducing the number of data sources
Increasing data storage capacity
Comparing alternatives based on knowledge gathered
52
What is the role of a BI Consultant?
To oversee IT projects
help organizations improve decisions by analyzing data and creating reports
To design marketing campaigns
To gather customer feedback
53
What is the purpose of the Drill up/down operation in OLAP?
D) To combine multiple datasets
A) To delete unnecessary data
B) To obtain different levels of detail from summarized to detailed data
C) To create data backups
54
What is the first phase of the CRISP-DM process?
D) Data Preparation
B) Testing and Evaluation
C) Business Understanding
A) Model Building
55
What type of data is described as Time variant?
A) Data that is always changing
C) Time-stamped data showing historical trends
D) Data that is archived
B) Data without timestamps
56
What does Heuristic Evaluation measure?
B) How user-friendly a product is
C) The total number of users
D) Financial performance
A) Aesthetic appeal only
57
What does Effectiveness refer to in the context of Dashboard usability?
D) The number of users
C) User satisfaction levels
A) The speed of data processing
B) The quality of task performance
58
What is the primary purpose of the Prediction method in Data Mining?
C) To visualize data
B) To clean data
D) To store data efficiently
A) To find historical trends and predict future patterns
59
What is "User Control and freedom"?
D) Restricting user access
B) Supporting actions like undo and redo
C) Allowing users to choose their own data
A) Providing users with customization options
60
What does OLAP stand for?
B) Online Analytical Processing
D) Online Data Management
A) Online Transaction Analysis
C) Offline Analytical Processing
61
How is a Decision Tree structured?
A) As a flat table of data
C) With branches and nodes representing queries and decisions
B) Using graphs and charts
D) As a linear equation
62
What is Linear Programming?
A type of database management
A method for visualizing data
D) A process for cleaning data
A mathematical method for optimizing outcomes based on linear relationships
63
What role does a Data Scientist typically play?
They analyze data, mine data, and provide insights for decision-making
They design hardware systems
They handle customer service inquiries
They focus only on database management
64
Which design principle emphasizes minimalism?
D) Using multiple fonts
A) Using bright colors
C) Adding many graphics
B) Keeping the design simple and clutter-free
65
What does "Visibility of status" refer to in usability evaluation?
B) Clear communication of what the system is doing
A) How many users are online
C) The number of features available
D) The layout of the dashboard
66
Which of the following is NOT a model used for decision making?
Linear programming
What-if cases
Decision trees
Data warehousing
67
What is Supervised Learning?
B) Learning without labeled data
D) Using unsupervised techniques only
A method where the model is trained on historical data to classify new data
C) Analyzing data without prior knowledge
68
What is a key feature of the Hub and Spoke architecture?
additional data marts focused on specific domains tocentral data warehouse
C) It is decentralized
D) It requires less data storage
A) It has no data marts
69
What is essential for success with big data?
Minimal data infrastructure
Intuition-based decision making
Limiting IT involvement
Strong committed sponsorship
70
What are the four business dimensions commonly used in data analysis?
C) Supplier, Product, Service, Region
B) Revenue, Expense, Profit, Loss
A) Customer, Product, Place, Time
D) Employee, Customer, Location, Date

BUSINESS INTELLIGENCE TENA QUESTION HIHI Flashcards | StudBud