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| Section | Objectives |
|---|---|
| Topic 1: Business Intelligence and Analytics | - Predictive Analytics Basics - Dashboards and Reporting - Key Performance Indicators (KPIs) - Data Mining Concepts |
| Topic 2: Decision-Making Frameworks | - Risk Analysis and Assessment - Rational Decision Models - Cost-Benefit Analysis - Evidence-Based Decision Making |
| Topic 3: Data-Driven Culture and Communication | - Presenting Data Insights - Stakeholder Communication - Building Data-Informed Organizations - Ethical Considerations in Data Use |
| Topic 4: Data Analysis Fundamentals | - Data Types and Measurement Scales - Data Quality and Cleaning - Descriptive Statistics - Data Visualization Techniques |
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질문 # 56
How do analytics help an organization?
정답：D
설명：
Analytics help organizations primarily by enabling the development offact-based strategies, which is a central principle of data-driven decision making. Rather than relying on intuition, assumptions, or anecdotal evidence, analytics allows organizations to systematically analyze data to understand performance, identify opportunities, manage risks, and support strategic decisions.
Through descriptive analytics, organizations gain insight into historical performance andoperational efficiency. Predictive analytics enables them to anticipate future trends, customer behavior, and potential outcomes. Prescriptive analytics further supports decision-making by recommending optimal actions under various constraints. Together, these approaches transform raw data into actionable insights that guide strategic planning and execution.
While analytics may support investment management, marketing, or information systems usage, these are specific applications, not the fundamental organizational benefit. Analytics is not primarily used to persuade consumers, nor is its main objective to increase system usage among employees. Instead, its value lies in improving decision quality by grounding strategies in empirical evidence.
In data-driven decision-making frameworks, analytics serves as a structured approach to aligning data, models, and business objectives. By developing strategies based on verified data and analytical methods, organizations reduce uncertainty, improve performance, and gain competitive advantage. Therefore, the correct answer isC, as analytics enable organizations to developfact-based strategies.
질문 # 57
A hospital wants to increase revenue by performing more surgeries each day. This can be accomplished by reducing the turnaround time between surgeries in operating rooms. What is this objective an example of?
정답：A
설명：
This objective is best understood as a key performance indicator because it focuses on a measurable operational target that directly supports organizational performance. Reducing turnaround time between surgeries is a specific, trackable metric that can be monitored over time and linked to broader outcomes such as increased surgical volume, higher revenue, improved efficiency, and better use of operating room capacity.
A key performance indicator is designed to quantify progress toward an important goal, and this scenario fits that purpose clearly. A balanced scorecard is a broader strategic framework that includes multiple dimensions of performance rather than a single focused measure. A departmental income statement is a financial report, not an operational objective. A managerial directive may describe an instruction from leadership, but the question asks what the objective itself represents in performance management terms. Because the hospital is identifying a measurable factor tied to improvement and results, the correct answer is a key performance indicator.
질문 # 58
A car dealership sells both new and used cars. The number of new cars sold on a given day ranges from 5 to
30 while the number of used cars sold ranges from 5 to 40. The number of used cars sold is mutually exclusive to the number of new cars sold.
Which statistic would be used to compare the number of new and used car sales on any given day?
정답：B
설명：
Thechi-square statisticis used to compare frequencies of categorical, mutually exclusive outcomes. In data- driven decision making, it is appropriate for analyzing differences between observed counts.
New and used car sales represent mutually exclusive categories, making chi-square the correct choice.
Therefore, the correct answer isB.
질문 # 59
A county government wants to start a cost-effective recycling program. How can the county apply data analytic approaches to attain this goal?
정답：A
설명：
To create a cost-effective recycling program, the county should benchmark similar strategies used by other counties. Benchmarking is a practical data-driven approach that allows decision-makers to compare program designs, costs, participation rates, collection methods, and outcomes across jurisdictions facing similar conditions. By examining how other counties structure successful recycling initiatives, the county can identify efficient practices, realistic cost expectations, and implementation strategies that have already been tested in comparable environments. This approach is especially useful when developing a new program because it reduces trial-and-error and supports evidence-based planning. The other options are less directly related to designing and evaluating a recycling program. Analyzing county contracts or aligning funds with staffing levels may be useful in general budgeting, but they do not specifically address recycling strategy effectiveness. Audit performance research is also not closely tied to recycling program design. Therefore, the most appropriate data analytic approach is benchmarking similar strategies of other counties.
질문 # 60
Which type of analysis determines whether there was a significant difference in the average donor solicitation amount between three nonprofit hospital events?
정답：B
설명：
Analysis of Variance (ANOVA)is used to compare the means of three or more groups to determine whether statistically significant differences exist. In data-driven decision making, ANOVA is appropriate when evaluating differences across multiple categories.
In this scenario, the analyst is comparing average donor solicitation amounts across three separate events.
ANOVA tests whether at least one group mean differs from the others.
Cluster analysis groups data, time series examines trends over time, and logistic regression predicts categorical outcomes. Therefore, the correct answer isD, ANOVA.
질문 # 61
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참고: Pass4Test에서 Google Drive로 공유하는 무료, 최신 Data-Driven-Decision-Making 시험 문제집이 있습니다: https://drive.google.com/open?id=13qD3qKSo2pcCjm2y5aIscUhQxFcVnOqD