DIS Data Analytics

Question 1

What is the purpose of data analysis in DIS practice?

Accepted Answer

Transforming raw data into insights for informed decision-making

Answer

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?

Accepted Answer

Quantitative is numerical; qualitative is descriptive and categorical

Answer

Quantitative data is numerical and measurable; qualitative data provides descriptive context and depth.

Question 3

What is a dashboard in DIS reporting?

Accepted Answer

A visual display of key metrics for at-a-glance performance monitoring

Answer

A dashboard consolidates important metrics and trends visually for quick assessment of performance status.

Question 4

What does data integrity mean in DIS practice?

Accepted Answer

Accuracy, consistency, and reliability of data throughout its lifecycle

Answer

Data integrity means maintaining accuracy, consistency, and reliability from collection through use.

Question 5

What is trend analysis in DIS reporting?

Accepted Answer

Examining data over time to identify patterns and changes

Answer

Trend analysis examines historical data to identify patterns, directions, and rates of change.

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