Which of the following activities are elements of data-driven decision-making? Select all that apply.1 pointAsk subject-matter experts to review the resultsFigure out the business need or problem to be solvedRemove data insights that stem from human intuitionFind and analyze relevant data

To determine which activities are elements of data-driven decision-making, we need to analyze the options provided.

1. Ask subject-matter experts to review the results: This activity involves seeking input and feedback from experts in a specific field or domain to validate and provide insights on the data-driven decision-making process. It helps ensure that the decisions made are well-informed and aligned with expert knowledge.

2. Figure out the business need or problem to be solved: This activity involves identifying and understanding the specific business need or problem that requires a data-driven decision. It is crucial to clearly define the objective to ensure that the data analysis and insights generated are relevant and useful.

3. Remove data insights that stem from human intuition: This activity involves eliminating any data insights that are based solely on human intuition or subjective opinions. Data-driven decision-making relies on objective and evidence-based analysis, so it is important to remove any biases or subjective interpretations from the process.

4. Find and analyze relevant data: This activity involves locating and examining relevant data sources to gather information and insights. It includes data collection, data cleaning, data analysis, and data visualization to extract meaningful patterns and trends that can inform decision-making.

Based on the above analysis, the activities that are elements of data-driven decision-making are:

• Ask subject-matter experts to review the results
• Figure out the business need or problem to be solved
• Remove data insights that stem from human intuition
• Find and analyze relevant data