WGU C182 EXAM 2024/2025 WITH 100%
ACCURATE SOLUTIONS
What are the parts of the DIKW? - Precise Answer ✔✔Data,
information, knowledge, wisdom.
Data (DIKW) - Precise Answer ✔✔Input directly received by human or
computer (e.g. taste or smell for human and input for a computer).
Information (DIKW) - Precise Answer ✔✔Data transformed in to
something useful (e.g. list of numbers processed through statistical
analysis).
Knowledge (DIKW) - Precise Answer ✔✔Result of experience gained
from using information (e.g. selecting proper algebraic laws to solve a
problem).
Wisdom (DIKW) - Precise Answer ✔✔An understanding of why
something is or was. Can only come by having knowledge and
experience.
Information System - Precise Answer ✔✔Collection of data and
information used to support management of an organization.
, Characteristics of quality data - Precise Answer ✔✔Relevant, timely,
thorough, accurate, and reliable.
Relevant (Characteristics of quality data) - Precise Answer ✔✔Data
being used must apply directly to the decision being made (e.g. if
information is needed about a customer's purchase history, in order to
better serve the customer's needs, it is relevant to collect data on prior
business transactions with the specific customer).
Timely (Characteristics of quality data) - Precise Answer ✔✔Data must
be efficient and must be provided in a timely manner so that companies
can utilize it in their business (e.g. If a company set their budget for the
new fiscal year, they would need access to financial data from most
recent years).
Thorough (Characteristics of quality data) - Precise Answer ✔✔Data
must not have any error or lapses (e.g. Client gives apt number in
address so shipping company knows exactly where to go)
Accurate (Characteristics of quality data) - Precise Answer ✔✔Data
must be captured as close to the point of activity as possible (e.g.
Making sure customer addresses are correct before sending out coupons)
Reliable (Characteristics of quality data) - Precise Answer ✔✔Data
should reflect stable and consistent data collection processes across
collection points and over time, whether using manual or computer-
based systems, or a combination (e.g. All employees track sales with
sales tax).
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