What is the primary objective of business analytics?

• Extract insights from data to inform business decisions
• Increase data storage capacity
• Develop complex algorithms for entertainment purposes.
• none

Which of the following is NOT a key stage in the business analytics process?

• Data Collection
• Data Cleaning
• Data Visualization
• Product Development

What do you call the process of using historical data to predict future trends?

• a) Data mining
• b) Data warehousing
• c) Forecasting
• d) Data visualization

What is the most common tool used for data visualization?

• a) Machine learning software
• b) Database management systems
• c) Spreadsheet software (e.g., Excel)
• d) Programming languages

What is the difference between descriptive and predictive analytics?

• a) Descriptive analyzes future trends, while predictive analyzes past data.
• b) Predictive analyzes future trends, while descriptive analyzes current data.
• c) Descriptive summarizes past data, while predictive uses it to predict future outcomes.
• d) There is no difference.

What is the difference between supervised and unsupervised machine learning?

• a) Supervised ML learns from labeled data, while unsupervised ML learns from unlabeled data.
• b) Supervised ML analyzes text data, while unsupervised ML analyzes numerical data.
• c) Supervised ML is used for prediction, while unsupervised ML is used for description.
• d) None of the above.

Which of the following is NOT a benefit of using big data in business analytics?

• a) Ability to identify hidden patterns and trends
• b) Reduced workload for data analysts
• c) Improved decision-making capabilities
• d) Increased efficiency and cost savings

What is the ethical concern associated with using customer data for analytics?

• a) Data security and privacy
• b) Bias and discrimination in algorithms
• c) Cost of data storage and maintenance
• d) All of the above

Which of the following is NOT a type of data visualization chart?

• a) Bar chart
• b) Scatter plot
• c) Pie chart (limited to 2-3 categories)
• d) Heatmap

What is the difference between correlation and causation in data analysis?

• a) Correlation means variables are related, while causation means one variable causes the other.
• b) Correlation analyzes numerical data, while causation analyzes text data.
• c) Correlation shows trends, while causation explains why they occur.
• d) There is no difference.