1️⃣ Question 1

What should be your initial step to start using data science in your small manufacturing business?

• ❌ Invest in expensive data analytics software.

• ✅ Document your existing data collection and archiving practices.

• ❌ Begin hiring a team of data scientists.

• ❌ Increase your advertising budget.

Explanation:
Before analysis, you must understand what data you currently collect, how it’s stored, and whether it’s usable. This foundational step guides all future data-driven decisions.

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2️⃣ Question 2

What key takeaway does Netflix’s success teach about using data science?

• ❌ Wearable devices are the best way to collect data.

• ❌ Success comes from collecting as much data as possible.

• ❌ Data science only benefits online shopping sites.

• ✅ Analyzing customer preferences and behaviors can lead to a competitive advantage.

Explanation:
Netflix uses data to understand user behavior, which improves recommendations, content decisions, and customer retention.

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3️⃣ Question 3

How do data science and predictive analytics improve healthcare outcomes?

• ❌ Limited to basic descriptive analytics.

• ❌ Only ensures physicians have the latest information.

• ❌ Focuses mainly on gene markers and environment.

• There is no correct option among the ones given, but the closest accurate interpretation is:
  ❌ Data science tools mainly benefit oncologists in recommending tests.

Correct Concept (not listed in choices):
Data science helps predict diseases, personalize treatment, identify risks early, assist diagnoses, and improve patient outcomes across all medical fields, not just oncology and not only descriptive analytics.

Explanation:
None of the provided options correctly explains how data science holistically helps healthcare. It supports early diagnosis, predictive insights, treatment optimization, and operational efficiency, benefitting all physicians—not just oncologists.

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🧾 Summary Table