# Ask Questions to Make Data-Driven Decisions - Module 2 challenge

1. **A data professional at a retail store automates a process to identify their company’s best-selling products. First, a list of all products is compiled. Then, the number of times they have been sold is counted. Finally, the products are sorted, with best-sellers at the top. What does this scenario describe?**
    
    * Data-inspired decision-making
        
    * Making a pivot table
        
    * Using a formula
        
    * <mark>Creating an algorithm</mark>
        
2. **Which of the following statements accurately describe qualitative and quantitative data?** Select all that apply.
    
    * <mark>The smell of lavender is an example of qualitative data.</mark>
        
    * Quantitative data involves things that cannot be measured using numerical data.
        
    * <mark>The height of a suspension bridge is an example of quantitative data.</mark>
        
    * Qualitative data involves information that can be quantified.
        
3. **When working with big data, analysts consider the velocity of processing large, complex datasets. What does this entail?**
    
    * Evaluating the quality and reliability of the data
        
    * Assessing the amount of data to be processed
        
    * <mark>Understanding how quickly the data can be processed</mark>
        
    * Identifying the different kinds of data available
        
4. **A data team uses a spreadsheet tool to create a visualization that summarizes financial data by region, facility, and time period. What tool are they using?**
    
    * Data validation
        
    * <mark>Pivot table</mark>
        
    * Sort
        
    * Format
        
5. **Company decision-makers at a gas utility want to improve business performance. How could they use metrics and a metric goal to help them do so?**
    
    * Establish a metric goal as a single data point. Then, quantify it with metrics.
        
    * <mark>Create a metric goal as the business objective. Then, evaluate it using metrics.</mark>
        
    * Set a metric as the business objective. Then, quantify it using numerous data points.
        
    * Develop a metric. Then, evaluate it to determine whether it advances performance.
        
6. **Which of the following statements correctly describe dashboards and reports?** Select all that apply.
    
    * <mark>Reports and dashboards are both useful for data visualization.</mark>
        
    * <mark>A dashboard could be used to track hourly error rates when programming code.</mark>
        
    * <mark>Reports are effective at capturing high-level, historical data.</mark>
        
    * Dashboards are designed and distributed periodically as a reference.
        
7. **Fill in the blank: ROI is calculated by comparing the two metrics of \_\_\_\_\_, enabling a company to determine the success of the investment.**
    
    * <mark>investment cost and profit</mark>
        
    * value and expenses
        
    * sales and revenue
        
    * gross margin and net margin
        
8. **What are some typical challenges that may be faced by businesses that are beginning to collect and use big data?** Select all that apply.
    
    * <mark>There may be gaps in big data business tools</mark>
        
    * Less efficient decision-making time frames
        
    * <mark>Difficulty finding important data</mark>
        
    * Cannot help large organizations spot trends
        

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