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BCOR 2205 Final Exam 2023 All Possible Questions and Answers;highly recommended for your final test

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BCOR 2205 Final Exam 2023 All Possible Questions and Answers;highly recommended for your final test Which category of analytics will knowledge workers use to perform their jobs? All answers are correct: Descriptive analytics techniques that describe past performance and history. Predictive analytics techniques that extract information from data and use it to predict future trends and identify behavioral patterns. Prescriptive analytics techniques that create models indicating the best decision to make or course of action to take. Which of the following refers to applications and technologies that are used to gather, provide access to, and analyze data and information to support decision-making efforts? Business intelligence Data Raw facts that describe the characteristics of an event or object Order date Amount sold Customer number Quantity ordered Information Data converted into a meaningful and useful context Worst-selling product Best-selling product Best customer Business Intelligence Information collected from multiple sources that analyze patterns, trends, and relationships for strategic decision making Lowest sales per week compared with interest rates Best-selling product by month compared to sports season wins Knowledge The skills, experience, and expertise, coupled with information and intelligence, that creates a person's intellectual resources Choosing not to fire a sales representative who is underperforming knowing that person is experiencing family problems Creating daily specials based on items that are about to expire first Internet of Things (IoT) A world where interconnected internet-enabled devices or "things" have the ability to collect and share data without human intervention Machine-to-machine (M2M) Refers to devices that connect directly to other devices Unstructured data Not defined and does not follow a specified format and is typically free-form text such as emails, Twitter, and text messages Machine-generated data Data created by a machine without human intervention Machine-generated unstructured data Includes satellite images, scientific atmosphere data, and radar data Human-generated unstructured data Includes text messages, social media data, and emails Structured data A defined length, type, and format and includes numbers, dates, or strings such as Customer Address Human-generated data Data that humans, in interaction with computers, generate Variety Different forms of structured and unstructured data Data from spreadsheets and databases as well as from email, videos, photos, and PDFs, all of which must be analyzed Veracity The uncertainty of data, including biases, noise, and abnormalities Uncertainty or untrustworthiness of data Data must be meaningful to the problem being analyzed Must keep data clean and implement processes to keep dirty data from accumulating in systems Volume The scale of data Includes enormous volumes of data generated daily Massive volume created by machines and networks Velocity The analysis of streaming data as it travels around the Internet Analysis necessary of social media messages spreading globally Analytics The science of fact-based decision making Business Analytics The scientific process of transforming data into insight for making better decisions Predictive Analytics Uses techniques that extract information from data and uses it to predict future trends and identify behavioral patterns Prescriptive Analytics Uses techniques that create models indicating the best decisions to make or course of action to take Descriptive Analytics Uses techniques that describe past performance and history Accounting Transactional data Purchasing data Payroll data Tax data Finance Investment data Monetary data Reporting data Human Resources Employee data Promotion data Vacation data Marketing Promotion data Sales data Advertising data Operations Management Manufacturing data Distribution data Production data Sales Potential customer data Sales report data Commission data Customer support data Classification Assigns records to one of the predefined set of classes The process of organizing data into categories or groups for its most effective and efficient use Estimation Determines values for an unknown continuous variable behavior or estimated future value Clustering Segments a heterogeneous population of records into a number of more homogeneous subgroups A technique used to divide an information set into mutually exclusive groups such that the members of each group are as close together as possible to one another and the different groups are as far apart as possible Affinity Grouping Determines which things go together Reveals the relationship between variables along with the nature and frequency of the relationships Prediction A statement of what will happen next in a sequence of events. Forecasting Predictions based on time-series information, allowing users to manipulate the time series for forecasting activities Regression A statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables when the focus is on the relationship between a dependent variable and one or more independent variables Optimization A statistical process that finds the way to make a design, system, or decision as effective as possible Email The exchange of digital messages over the internet Instant Messaging A service that enables instant or real-time communication between people Podcasting Converts an audio broadcast to a digital music player Videoconferencing Allows people at 2 or more locations to interact via 2-way video and audio transmissions simultaneously as well as share documents, data, computers displays, and whiteboards Web Conferencing Blends videoconferencing with document sharing and allows the user to deliver a presentation over the web to a group of geographically-dispersed participants Content Management System Helps companies manage the creation, storage, editing, and publication of their website content Content sharing through open sourcing Open-source system Mozilla Firefox User-contributed content Reputation system Rates eBay sellers Collaboration inside the organization Knowledge management system Advises golf caddies Collaboration outside the organization Crowd sourcing Looking outside the box (blank) refers to how well a system can adapt to increased demands. A number of factors can create organizational growth including market, industry, and economic factors Scalability Cloud computing relies on the time frames when a system is operational. Which of the following agile MIS infrastructures does this represent? Availability What ensures an MIS system is functioning correctly and providing accurate information? Reliability Which of the following refers to the use of resources and applications hosted remotely on the Internet? Cloud computing (blank) creates multiple "virtual" machines on a single computing device. Virtualization LAN (Local Area Network) Connects a group of computers in close proximity, such as an office building, school, or home MAN (Metropolitan Area Network) Large computer network usually spanning a city WAN (Wide Area Network) The Internet What term best describes the business component that Warby Parker designs its own eyeglass frames?

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BCOR 2205 Final Exam 2023 All Possible Questions and
Answers;highly recommended for your final test
Which category of analytics will knowledge workers use to perform their jobs?
All answers are correct:
Descriptive analytics techniques that describe past performance and history.
Predictive analytics techniques that extract information from data and use it to predict
future trends and identify behavioral patterns.
Prescriptive analytics techniques that create models indicating the best decision to
make or course of action to take.
Which of the following refers to applications and technologies that are used to
gather, provide access to, and analyze data and information to support decision-
making efforts?
Business intelligence
Data
Raw facts that describe the characteristics of an event or object

Order date

Amount sold

Customer number

Quantity ordered
Information
Data converted into a meaningful and useful context

Worst-selling product

Best-selling product

Best customer
Business Intelligence
Information collected from multiple sources that analyze patterns, trends, and
relationships for strategic decision making

Lowest sales per week compared with interest rates

Best-selling product by month compared to sports season wins
Knowledge
The skills, experience, and expertise, coupled with information and intelligence, that
creates a person's intellectual resources

Choosing not to fire a sales representative who is underperforming knowing that person
is experiencing family problems

,Creating daily specials based on items that are about to expire first
Internet of Things (IoT)
A world where interconnected internet-enabled devices or "things" have the ability to
collect and share data without human intervention
Machine-to-machine (M2M)
Refers to devices that connect directly to other devices
Unstructured data
Not defined and does not follow a specified format and is typically free-form text such as
emails, Twitter, and text messages
Machine-generated data
Data created by a machine without human intervention
Machine-generated unstructured data
Includes satellite images, scientific atmosphere data, and radar data
Human-generated unstructured data
Includes text messages, social media data, and emails
Structured data
A defined length, type, and format and includes numbers, dates, or strings such as
Customer Address
Human-generated data
Data that humans, in interaction with computers, generate
Variety
Different forms of structured and unstructured data

Data from spreadsheets and databases as well as from email, videos, photos, and
PDFs, all of which must be analyzed
Veracity
The uncertainty of data, including biases, noise, and abnormalities

Uncertainty or untrustworthiness of data

Data must be meaningful to the problem being analyzed

Must keep data clean and implement processes to keep dirty data from accumulating in
systems
Volume
The scale of data

Includes enormous volumes of data generated daily

Massive volume created by machines and networks
Velocity
The analysis of streaming data as it travels around the Internet

Analysis necessary of social media messages spreading globally
Analytics

, The science of fact-based decision making
Business Analytics
The scientific process of transforming data into insight for making better decisions
Predictive Analytics
Uses techniques that extract information from data and uses it to predict future trends
and identify behavioral patterns
Prescriptive Analytics
Uses techniques that create models indicating the best decisions to make or course of
action to take
Descriptive Analytics
Uses techniques that describe past performance and history
Accounting
Transactional data

Purchasing data

Payroll data

Tax data
Finance
Investment data

Monetary data

Reporting data
Human Resources
Employee data

Promotion data

Vacation data
Marketing
Promotion data

Sales data

Advertising data
Operations Management
Manufacturing data

Distribution data

Production data
Sales
Potential customer data

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