NCA-GENL Question 116
Select 3A retail company wants to leverage its large customer transaction dataset to improve marketing campaigns. Which of the following steps would be most appropriate for extracting actionable insights from the data?
- A
Apply data mining techniques to identify purchasing patterns and trends.
- B
Use data visualization tools to create dashboards showcasing customer behavior and sales performance.
- C
Manually review each transaction to identify patterns without using automation tools.
- D
Train a generative AI model to generate synthetic customer data for testing scenarios.
- E
Integrate clustering algorithms to segment customers into distinct groups based on purchasing behavior.
Show answer and explanation
Correct answers: A, B, E
Explanation
To extract actionable insights from large datasets, combining techniques like data mining, data visualization, and clustering is critical. These steps help uncover patterns, present the data effectively, and refine strategies such as customer segmentation. Manual approaches or unrelated tasks like generating synthetic data do not align with the goal of extracting insights efficiently.
- A. Correct.
Data mining techniques are essential for identifying patterns or trends in large datasets, making it easier to understand customer behavior and preferences.
- B. Correct.
Data visualization tools help present complex data insights in an easily interpretable format, such as dashboards, allowing stakeholders to make informed decisions.
- C. Incorrect.
Manually reviewing each transaction is impractical and inefficient when dealing with large datasets. Automation and tools are necessary for scalable insights.
- D. Incorrect.
While generative AI can be used for creating synthetic data, it is not directly relevant for extracting actionable insights from the original dataset.
- E. Correct.
Clustering algorithms are effective for segmenting customers into groups with similar behaviors, which aids in targeted marketing and personalization.