Section 1 - Instruction

In the previous units, we covered the difference between GenAI-powered analytics and traditional pipelines, as well as the current strengths and weaknesses of generative AI in data analysis. Now, let's practice applying this knowledge.

This will help you identify the right GenAI solutions for real-world data challenges.

Engagement Message

Ready to start?

Section 2 - Practice

Type

Sort Into Boxes

Practice Question

Sort these characteristics into the correct data analytics approach.

Labels

  • First Box Label: GenAI Analytics
  • Second Box Label: Traditional

First Box Items

  • Natural language queries
  • Faster insights
  • Conversational interface

Second Box Items

  • Structured dashboards
  • Repeatable reports
  • Precise calculations
Section 3 - Practice

Type

Multiple Choice

Practice Question

Why do traditional business intelligence tools sometimes feel slow for exploratory data analysis?

A. They use GenAI models which are still experimental. B. They require predefined queries and dashboard creation, which adds setup time for new questions. C. They are designed to be slow to ensure accuracy. D. They do not have enough processing power.

Suggested Answers

  • A
  • B - Correct
  • C
  • D
Section 4 - Practice

Type

Fill In The Blanks

Markdown With Blanks

Fill in the blanks to describe the trade-offs in data analytics approaches.

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