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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q79-Q84):

NEW QUESTION # 79
The U.S. Postal Service wants to know if local first-class mail is being delivered within two days of postmark.
Which key performance indicator (KPI) should the Postal Service use?

Answer: C

Explanation:
On-time performanceis the most appropriate KPI for measuring whether mail is delivered within a specified timeframe. In data-driven decision making, KPIs must align directly with operational objectives.
The Postal Service's goal is to assess delivery timeliness. On-time performance measures the percentage of mail delivered within the expected service standard, making it a direct and objective indicator.
Customer satisfaction and employee morale provide valuable insights but do not directly measure delivery speed. Incentive performance rate is unrelated to delivery outcomes.
Therefore, the correct answer isC, on-time performance.


NEW QUESTION # 80
What are two qualities of key performance indicators (KPIs)?
Choose 2 answers.

Answer: A,D

Explanation:
Key performance indicators (KPIs) are designed to measure progress toward strategic objectives. In data- driven decision making, effective KPIs arestable, meaningful, and aligned with organizational goalsrather than frequently changing.
One important quality of KPIs is that theycan be used for internal benchmarking, allowing organizations to compare performance across departments, time periods, or projects. This helps identify best practices and performance gaps.
Another defining characteristic is that KPIs often followSMART criteria-Specific, Measurable, Achievable, Relevant, and Time-bound. These criteria ensure KPIs are clearly defined and actionable.
KPIs are not meant to be easily changed, as frequent changes undermine consistency and comparability. They also require ongoing monitoring and maintenance to remain relevant and accurate.
Therefore, the correct answers areB and D.


NEW QUESTION # 81
What happens when an organization focuses on customers?

Answer: C

Explanation:
A strong customer focus leads toincreased revenue and market share, which is a key principle in data- driven decision making and quality management. Organizations that prioritize customer needs are better positioned to deliver value, improve satisfaction, and build long-term relationships.
By understanding customer preferences, behavior, and feedback through analytics, organizations can tailor products and services more effectively. This alignment increases customer loyalty, repeat business, and positive word-of-mouth, all of which contribute to revenue growth and competitive advantage.
While focusing on customers may also improve efficiency, reduce bias, or lower costs, these outcomes are secondary benefits rather than the primary result. The most direct and measurable impact of customer focus is improved financial performance.
Therefore, the correct answer isC, as customer-focused organizations tend to experience higher revenue and expanded market share.


NEW QUESTION # 82
What must be analyzed using powerful analytic tools?

Answer: A

Explanation:
Big datamust be analyzed using powerful analytic tools due to its volume, velocity, and variety. In data- driven decision making, traditional tools are often insufficient for processing massive, complex datasets generated from digital platforms, sensors, and transactions.
Big data requires advanced computing power, specialized software, and sophisticated algorithms to extract meaningful insights. Inferential statistics and small datasets can often be handled with conventional statistical tools.
Therefore, the correct answer isC, big data.


NEW QUESTION # 83
A boutique specializing in gifts reviews its sales data over the last year. It observes a slow decline in revenue in the first quarter, a growth in revenue in the second quarter, a slight decline in revenue in the third quarter, and a rapid increase in revenue in the fourth quarter.
Which data pattern type can the sales data be assessed against?

Answer: D

Explanation:
Seasonalityrefers to predictable patterns in data that repeat at regular intervals, such as quarters or months, due to seasonal factors. In data-driven decision making, identifying seasonal patterns helps organizations forecast demand and plan operations.
The boutique's revenue shows distinct quarterly patterns: declines and increases that align with different times of the year. The sharp increase in the fourth quarter is especially indicative of seasonal effects, such as holiday shopping.
Random variation and irregularity describe unpredictable fluctuations, while cyclicality refers to long-term economic cycles rather than recurring annual patterns. Therefore, the correct answer isC, seasonality.


NEW QUESTION # 84
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