WGU D075 Unit 3 Module 5 Questions
Fully Solved 2025-2026 Updated.
Key Data Management Processes - Answer acquiring data, making sure the data are valid,
and then storing and processing the data into usable information for a business.
scrubbing the data - Answer sorting through structured, unstructured, and semi-structured
data to normalize them into a data warehouse and arrive at a structure to make sure they are
usable
normalized - Answer structured, usable format
Business Intelligence - Answer Strategies and technologies used by enterprises for the data
analysis of business information
Data Analysis - Answer applying statistics and logic techniques to define, illustrate, and
evaluate data. Simply stated, data analysis attempts to make sense of an organization's collected
data, turn those data into useful information, and validate the organization's future decisions
Data Mining-Data Discovery - Answer is the examination of huge sets of data to find patterns
and connections and identify outliers. Data mining also provides insight into relationships that
the user may not recognize but that are useful as information.
Topic Analytics - Answer tries to catalog phrases of an organization's customer feedback into
relevant topics. For example, if a customer said, "the barista was friendly," that would be
categorized under the topic "Employee Friendliness."
Text Analytics-Text Mining - Answer hunts through unstructured text data to look for useful
patterns such as whether their customers on Facebook or Instagram are unsatisfied with the
organization's products or services.
Business Analytics - Answer attempts to make connections between data so organizations
can try to predict future trends that may give them a competitive advantage. Business analytics
can also uncover computer system inadequacies within an organization. 3 forms; Descriptive;
predictive; & decision Analytics
Descritptive Analytics - Answer categorizing the information; defines past data you already
have that can be grouped into significant pieces, like a department's sales results, and also start
to reveal trends.
, Predictive Analytics - Answer attempts to reveal future patterns in a marketplace, essentially
trying to predict the future by looking for data correlations between one thing and any other
things that pertain to it.
The Data Management Process - Answer obtains, authenticates, stores, and protects data
and then processes the data to ensure that they are accessible, reliable, secure, and timely.
Decision Analytics - Answer Builds on predictive analysis to make decisions about future
industries and marketplaces. Decision analytics looks at an organization's internal data, analyzes
external conditions like supply abundance, and then endorses the best course of action.
Return on Investment (ROI) in Data Management - Answer measures the gain or loss
generated by intelligent data management relative to the amount of money invested.
Structured Query Language (SQL) - Answer most common language used to query data in
databases and can be used in most databases.
Master Data Management (MDM) - Answer obtains, authenticates, stores, and protects data
and then processes the data to ensure that they are accessible, reliable, secure, and timely.
Data Governance - Answer is managing the availability, integrity, and security of the data to
ensure that the data remain high quality and valid for data analytics.
Online analytical processing (OLAP) - Answer when basic queries are run against the
database to gain insight into elementary data relations.
Eight Challenges of data analytics and process management
1. Vast amount of Data that are collected - Answer With IT being part of a business's
processes, data on every aspect of the company are being collected. Every transaction, every
action is stored for retrieval sometime, at some interval, and it must be available.
Eight Challenges of data analytics and process management
Determining what is meaningful and what is not - Answer With so much information
available, a business cannot keep everything; it is too time consuming and unnecessary.
Automated systems cannot determine this, so employees must design the system to sort the
data.
Eight challenges of data analytics and process management
Fully Solved 2025-2026 Updated.
Key Data Management Processes - Answer acquiring data, making sure the data are valid,
and then storing and processing the data into usable information for a business.
scrubbing the data - Answer sorting through structured, unstructured, and semi-structured
data to normalize them into a data warehouse and arrive at a structure to make sure they are
usable
normalized - Answer structured, usable format
Business Intelligence - Answer Strategies and technologies used by enterprises for the data
analysis of business information
Data Analysis - Answer applying statistics and logic techniques to define, illustrate, and
evaluate data. Simply stated, data analysis attempts to make sense of an organization's collected
data, turn those data into useful information, and validate the organization's future decisions
Data Mining-Data Discovery - Answer is the examination of huge sets of data to find patterns
and connections and identify outliers. Data mining also provides insight into relationships that
the user may not recognize but that are useful as information.
Topic Analytics - Answer tries to catalog phrases of an organization's customer feedback into
relevant topics. For example, if a customer said, "the barista was friendly," that would be
categorized under the topic "Employee Friendliness."
Text Analytics-Text Mining - Answer hunts through unstructured text data to look for useful
patterns such as whether their customers on Facebook or Instagram are unsatisfied with the
organization's products or services.
Business Analytics - Answer attempts to make connections between data so organizations
can try to predict future trends that may give them a competitive advantage. Business analytics
can also uncover computer system inadequacies within an organization. 3 forms; Descriptive;
predictive; & decision Analytics
Descritptive Analytics - Answer categorizing the information; defines past data you already
have that can be grouped into significant pieces, like a department's sales results, and also start
to reveal trends.
, Predictive Analytics - Answer attempts to reveal future patterns in a marketplace, essentially
trying to predict the future by looking for data correlations between one thing and any other
things that pertain to it.
The Data Management Process - Answer obtains, authenticates, stores, and protects data
and then processes the data to ensure that they are accessible, reliable, secure, and timely.
Decision Analytics - Answer Builds on predictive analysis to make decisions about future
industries and marketplaces. Decision analytics looks at an organization's internal data, analyzes
external conditions like supply abundance, and then endorses the best course of action.
Return on Investment (ROI) in Data Management - Answer measures the gain or loss
generated by intelligent data management relative to the amount of money invested.
Structured Query Language (SQL) - Answer most common language used to query data in
databases and can be used in most databases.
Master Data Management (MDM) - Answer obtains, authenticates, stores, and protects data
and then processes the data to ensure that they are accessible, reliable, secure, and timely.
Data Governance - Answer is managing the availability, integrity, and security of the data to
ensure that the data remain high quality and valid for data analytics.
Online analytical processing (OLAP) - Answer when basic queries are run against the
database to gain insight into elementary data relations.
Eight Challenges of data analytics and process management
1. Vast amount of Data that are collected - Answer With IT being part of a business's
processes, data on every aspect of the company are being collected. Every transaction, every
action is stored for retrieval sometime, at some interval, and it must be available.
Eight Challenges of data analytics and process management
Determining what is meaningful and what is not - Answer With so much information
available, a business cannot keep everything; it is too time consuming and unnecessary.
Automated systems cannot determine this, so employees must design the system to sort the
data.
Eight challenges of data analytics and process management
