ISA 235 Exam 1 Miami University 2025 Latest Examination Questions
with Verified A+ answers. A blueprint to A+ success.
a world where interconnected, Internet-enabled devices or "things"
Internet of Things
can collect and share data without human intervention
evaluates industry attractiveness and analyzes the competitive
Purpose of Porter's five forces model forces within the environment in which a company operates to
assess the potential for profitability in an industry
1. Buyer Power
2. Supplier Power
The 5 forces of Porter's model 3. Threat of substitue products/services
4. threat of new entrants
5. Rivalry among competitors
occurs when one business unit is unable to freely communicate with
data silo
other business units, making it difficult or impossible for
organizations to work together
a collection of large, complex data sets, including structured and
big data
unstructured data, which cannot be analyzed using traditional
database methods and tools
evaluates the organizations Strengths, weakness, opportunities, and
SWOT analysis
threats to identify the significant influences that work or are against
business strategies
information collected from multiple sources such as suppliers, customers,
business intelligence competitors, partners, and industries that analyzes patterns, trends
and relationships for strategic decision making
the scientific process of transforming data into the insight for
analytics business
making better decisions
information data converted into meaningful and useful context
a graphic description of a process, showing the sequence of process
Business Process Modeling
tasks, which is developed for either as is process model or to be
process model
the activity of creating a detailed flowchart or process map of a
Business Process Modeling Mapping
work process showing its inputs, tasks, activities in a structured
sequence
, produces graphical displays of patterns and complex relationships in
visualization
large amounts of data
granularity refers to the level of detail in the model or the decision making process
the quantifiable metrics a company uses to evaluate progress
key performance indicators
toward critical success factors
turnover rates of employees
number of product returns
The quantifiable metrics of KPI
number of new customers
average customer spending
external KPI market share - the portion of the market that a firm captures
internal KPI return on investment - indicates the earning power of a project
the crucial steps companies make to perform to achieve their goals
critical success factors
and objectives implement strategies
create high quality products, retain competitive advantage, reduce
Crucial steps of success factors
product costs, increase customer satisfaction, hire and retain the
best professionals
a type of artificial intelligence that enables computers to both
machine learning
understand concepts environment, and also to learn
3 types of machine learning supervised, unsupervised, and transfer
occurs when a machine learning model matches the training data so
overfitting machine learning
closely that the model fails to make correct predictions on new
data
with Verified A+ answers. A blueprint to A+ success.
a world where interconnected, Internet-enabled devices or "things"
Internet of Things
can collect and share data without human intervention
evaluates industry attractiveness and analyzes the competitive
Purpose of Porter's five forces model forces within the environment in which a company operates to
assess the potential for profitability in an industry
1. Buyer Power
2. Supplier Power
The 5 forces of Porter's model 3. Threat of substitue products/services
4. threat of new entrants
5. Rivalry among competitors
occurs when one business unit is unable to freely communicate with
data silo
other business units, making it difficult or impossible for
organizations to work together
a collection of large, complex data sets, including structured and
big data
unstructured data, which cannot be analyzed using traditional
database methods and tools
evaluates the organizations Strengths, weakness, opportunities, and
SWOT analysis
threats to identify the significant influences that work or are against
business strategies
information collected from multiple sources such as suppliers, customers,
business intelligence competitors, partners, and industries that analyzes patterns, trends
and relationships for strategic decision making
the scientific process of transforming data into the insight for
analytics business
making better decisions
information data converted into meaningful and useful context
a graphic description of a process, showing the sequence of process
Business Process Modeling
tasks, which is developed for either as is process model or to be
process model
the activity of creating a detailed flowchart or process map of a
Business Process Modeling Mapping
work process showing its inputs, tasks, activities in a structured
sequence
, produces graphical displays of patterns and complex relationships in
visualization
large amounts of data
granularity refers to the level of detail in the model or the decision making process
the quantifiable metrics a company uses to evaluate progress
key performance indicators
toward critical success factors
turnover rates of employees
number of product returns
The quantifiable metrics of KPI
number of new customers
average customer spending
external KPI market share - the portion of the market that a firm captures
internal KPI return on investment - indicates the earning power of a project
the crucial steps companies make to perform to achieve their goals
critical success factors
and objectives implement strategies
create high quality products, retain competitive advantage, reduce
Crucial steps of success factors
product costs, increase customer satisfaction, hire and retain the
best professionals
a type of artificial intelligence that enables computers to both
machine learning
understand concepts environment, and also to learn
3 types of machine learning supervised, unsupervised, and transfer
occurs when a machine learning model matches the training data so
overfitting machine learning
closely that the model fails to make correct predictions on new
data
