operational level correct answers Employees develop, control, and maintain core business
activities required to run the day-to-day operations.
operational decisions correct answers Affect how the firm is run from day to day; they are the
domain of operations managers, who are the closest to the customer.
structured decision correct answers Involves situations where established processes offer
potential solutions.
managerial level correct answers Employees are continuously evaluating company operations to
hone the firm's abilities to identify, adapt to, and leverage change.
managerial decisions correct answers Concern how the organization should achieve the goals and
objectives set by its strategy, and they are usually the responsibility of mid-level management.
semistructured decision correct answers Occurs in situations in which a few established
processes help to evaluate potential solutions, but not enough to lead to a definite recommended
decision.
strategic level correct answers Managers develop overall business strategies, goals, and
objectives as part of the company's strategic plan.
strategic decisions correct answers Involve higher-level issues concerned with the overall
direction of the organization; these decisions define the organization's overall goals and
aspirations for the future.
unstructured decision correct answers Occurs in situations in which no procedures or rules exist
to guide decision makers toward the correct choice.
critical success factors (CSFs) correct answers Crucial steps companies perform to achieve their
goals and objectives and implement their strategies.
key performance indicators (KPIs) correct answers Quantifiable metrics a company uses to
evaluate progress toward critical success factors.
return on investment (ROI) correct answers Indicates the earning power of a project.
efficiency MIS metrics correct answers Measure the performance of MIS itself such as
throughput, transaction speed, and system availability.
effectiveness MIS metrics correct answers Measure the impact MIS has on business processes
and activities including customer satisfaction and customer conversion rates.
, benchmarking correct answers A process of continuously measuring system results, comparing
those results to optimal system performance (benchmark values), and identifying steps and
procedures to improve system performance.
transactional information correct answers Encompasses all of the information contained within a
single business process or unit of work, and its primary purpose is to support the performing of
daily operational or structured decisions.
online transaction processing (OLTP) correct answers The capturing of transaction and event
information using technology to (1) process the information according to defined business rules,
(2) store the information, and (3) update existing information to reflect the new information.
transaction processing system (TPS) correct answers The basic business system that serves the
operational level (analysts) and assists in making structured decisions.
online analytical processing (OLAP) correct answers The manipulation of information to create
business intelligence in support of strategic decision making.
decision support systems (DSSs) correct answers Model information using OLAP, which
provides assistance in evaluating and choosing among different courses of action.
executive information system (EIS) correct answers A specialized DSS that supports senior-level
executives and unstructured, long-term, nonroutine decisions requiring judgment, evaluation, and
insight.
Granularity correct answers Refers to the level of detail in the model or the decision-making
process.
digital dashboard \ correct answers Tracks KPIs and CSFs by compiling information from
multiple sources and tailoring it to meet user needs.
case-based reasoning correct answers A method whereby new problems are solved based on the
solutions from similar cases solved in the past.
data augmentation correct answers Occurs when adding additional training examples by
transforming existing examples.
overfitting correct answers Occurs when a machine learning model matches the training data so
closely that the model fails to make correct predictions on new data.
underfitting correct answers Occurs when a machine learning model has poor predictive abilities
because it did not learn the complexity in the training data.
sample bias correct answers A problem with using incorrect training data to train the machine.