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

Creating attractive charts only

Answer

Collecting data regardless of relevance

Answer

Replacing professional judgment

Question 2

What differentiates quantitative from qualitative data in DIS?

Accepted Answer

Quantitative is numerical; qualitative is descriptive and categorical

Answer

They are interchangeable

Answer

Qualitative is always more accurate

Answer

Quantitative cannot be used professionally

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 physical control panel

Answer

A written monthly report

Answer

An IT-only tool

Question 4

What does data integrity mean in DIS practice?

Accepted Answer

Accuracy, consistency, and reliability of data throughout its lifecycle

Answer

Physical security of hardware

Answer

Data processing speed

Answer

Visualization quality

Question 5

What is trend analysis in DIS reporting?

Accepted Answer

Examining data over time to identify patterns and changes

Answer

Analyzing fashion trends

Answer

Predicting exact futures

Answer

Comparing single data points

Question 6

Why is data visualization important in DIS reporting?

Accepted Answer

It makes complex patterns easier to understand and communicate

Answer

Required by law

Answer

Replaces written analysis

Answer

Purely decorative