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