ISA 235 Exam 1 Miami University 2025 Latest Examination Questions
with Verified A+ answers. A blueprint to A+ success.
skills, experience, and expertise coupled with
knowledge
information and intelligence that creates a person's
intellectual resources
data raw facts that describe the characteristics of an event or object
occurs when one business unit is unable to freely
data silo
communicate with other business units, making it difficult
or impossible for organizations to work cross-functionally
information collected from multiple sources such as suppliers,
business intelligence (BI) customers.
competitors, partners, and industries that analyze patterns,
trends, and relationships for strategic decision making
system a collection of parts that link to achieve a common purpose
a collection of large, complex datasets, including
big data
structured and unstructured data, which cannot be
analyzed using traditional database methods and tools
information data converted into a meaningful and useful context
analytics the science of fact-based decision making
business analytics the scientific process of transforming data into insight for making
better decisions
a way of monitoring the entire system by viewing multiple
systems thinking inputs being processed or transformed to produce outputs
while continuously gathering feedback on each
part
evaluates an organization's strengths, weaknesses,
SWOT analysis
opportunities, and threats to identify significant influences
that work for or against business strategies
measurements that evaluates results to determine whether a
metrics
project is meeting its goals
a type of artificial intelligence that enables computers both
machine learning
to understand concepts in the environment and to learn
the use of software with artificial intelligence and machine
robotic process automation
(RPA) learning capabilities to handle high-volume, repeatable
tasks that previously required a human to perform
, business process standardized set of activities that accomplish a specific task
granularity refers to the level of detail in the model or the decision-making
process
produces graphical displays of patterns and complex
visualization
relationships in large amounts of data
artificial intelligence (AI) simulates human thinking and behavior such as the ability to reason
and learn
business process modeling a graphical notation that depicts the steps in a business process
(BPMN)
business process reengineering the analysis and redesign of workflow within and between
(BPR) enterprises
the most successful solutions or problem-solving
best practices
methods that have been developed by a specific
organization or industry
algorithm mathematical fomulas placed in software that performs an analysis on
a dataset
quantifiable metrics a company uses to evaluate
key performance indicators
(KPIs) progress toward critical success factors
crucial steps companies perform to achieve their goals
critical success factors (CSFs)
and objectives and implement their strategies
a new way of doing things that initially does not meet
disruptive technology
the needs of existing customers
produces an improved product customers are eager to buy,
sustaining technology
such as a faster car or larger hard drive
with Verified A+ answers. A blueprint to A+ success.
skills, experience, and expertise coupled with
knowledge
information and intelligence that creates a person's
intellectual resources
data raw facts that describe the characteristics of an event or object
occurs when one business unit is unable to freely
data silo
communicate with other business units, making it difficult
or impossible for organizations to work cross-functionally
information collected from multiple sources such as suppliers,
business intelligence (BI) customers.
competitors, partners, and industries that analyze patterns,
trends, and relationships for strategic decision making
system a collection of parts that link to achieve a common purpose
a collection of large, complex datasets, including
big data
structured and unstructured data, which cannot be
analyzed using traditional database methods and tools
information data converted into a meaningful and useful context
analytics the science of fact-based decision making
business analytics the scientific process of transforming data into insight for making
better decisions
a way of monitoring the entire system by viewing multiple
systems thinking inputs being processed or transformed to produce outputs
while continuously gathering feedback on each
part
evaluates an organization's strengths, weaknesses,
SWOT analysis
opportunities, and threats to identify significant influences
that work for or against business strategies
measurements that evaluates results to determine whether a
metrics
project is meeting its goals
a type of artificial intelligence that enables computers both
machine learning
to understand concepts in the environment and to learn
the use of software with artificial intelligence and machine
robotic process automation
(RPA) learning capabilities to handle high-volume, repeatable
tasks that previously required a human to perform
, business process standardized set of activities that accomplish a specific task
granularity refers to the level of detail in the model or the decision-making
process
produces graphical displays of patterns and complex
visualization
relationships in large amounts of data
artificial intelligence (AI) simulates human thinking and behavior such as the ability to reason
and learn
business process modeling a graphical notation that depicts the steps in a business process
(BPMN)
business process reengineering the analysis and redesign of workflow within and between
(BPR) enterprises
the most successful solutions or problem-solving
best practices
methods that have been developed by a specific
organization or industry
algorithm mathematical fomulas placed in software that performs an analysis on
a dataset
quantifiable metrics a company uses to evaluate
key performance indicators
(KPIs) progress toward critical success factors
crucial steps companies perform to achieve their goals
critical success factors (CSFs)
and objectives and implement their strategies
a new way of doing things that initially does not meet
disruptive technology
the needs of existing customers
produces an improved product customers are eager to buy,
sustaining technology
such as a faster car or larger hard drive
