DIS Data Analytics 1 — Questions and Answers
Question 1: What is the purpose of data analysis in DIS practice?
- Transforming raw data into insights for informed decision-making (Correct answer)
- Creating attractive charts only
- Collecting data regardless of relevance
- Replacing professional judgment
Correct answer: Transforming raw data into insights for informed decision-making
Data analysis examines, cleans, and models data to discover useful information and support decision-making.
Question 2: What differentiates quantitative from qualitative data in DIS?
- Quantitative is numerical; qualitative is descriptive and categorical (Correct answer)
- They are interchangeable
- Qualitative is always more accurate
- Quantitative cannot be used professionally
Correct answer: Quantitative is numerical; qualitative is descriptive and categorical
Quantitative data is numerical and measurable; qualitative data provides descriptive context and depth.
Question 3: What is a dashboard in DIS reporting?
- A visual display of key metrics for at-a-glance performance monitoring (Correct answer)
- A physical control panel
- A written monthly report
- An IT-only tool
Correct answer: A visual display of key metrics for at-a-glance performance monitoring
A dashboard consolidates important metrics and trends visually for quick assessment of performance status.
Question 4: What does data integrity mean in DIS practice?
- Accuracy, consistency, and reliability of data throughout its lifecycle (Correct answer)
- Physical security of hardware
- Data processing speed
- Visualization quality
Correct answer: Accuracy, consistency, and reliability of data throughout its lifecycle
Data integrity means maintaining accuracy, consistency, and reliability from collection through use.
Question 5: What is trend analysis in DIS reporting?
- Examining data over time to identify patterns and changes (Correct answer)
- Analyzing fashion trends
- Predicting exact futures
- Comparing single data points
Correct answer: Examining data over time to identify patterns and changes
Trend analysis examines historical data to identify patterns, directions, and rates of change.
Question 6: Why is data visualization important in DIS reporting?
- It makes complex patterns easier to understand and communicate (Correct answer)
- Required by law
- Replaces written analysis
- Purely decorative
Correct answer: It makes complex patterns easier to understand and communicate
Visualization translates complex data into visual formats highlighting patterns and outliers for diverse audiences.
DIS Data Analytics 1
What is the purpose of data analysis in DIS practice?