Guiding the Analysis for Effective Data-driven Decision Making
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Questions and Answers

Match each characteristic to the most appropriate data method. Each data method may have more than one characteristic.

Instruction: For each option, select all the answer choices that apply.

Reporting = It involves simply presenting the data Reporting = It often requires no human intervention Analysis = It is very flexible and customizable Analysis = It provides answers to questions about the data

Match each analytics category with its description.

Instruction: For each option, select the best answer choice.

Analysis that suggests the best possible way for an organization to operate = Optimization analysis Analysis that looks at what has taken place in the past or is taking place now = Observational analysis Analysis that aims to forecast likely future events based on the data = Predictive analysis Analysis that looks for relationships between data sets and variables = Relational analysis

What are the business intelligence, or BI, classes?

Instruction: Choose all options that best answer the question.

  • Diagnostic (correct)
  • Optimization
  • Observational
  • Descriptive (correct)
  • What questions should you ask to help determine which type of analysis fits your business problem?

    Instruction: Choose all options that best answer the question.

    <p>What was the root cause of this problem?</p> Signup and view all the answers

    What do you need to test in order to ensure the completeness of your analysis?

    Instruction: Choose all options that best answer the question.

    <p>The statistical significance of the data</p> Signup and view all the answers

    Study Notes

    Data Methods and Characteristics

    • Data methods can be matched to specific characteristics, with multiple characteristics potentially applying to a method.
    • Analytics categories can be matched to specific descriptions.
    • Questions to ask can help determine the appropriate analysis for a business problem.
    • Testing for completeness involves assessing different aspects of the analysis.

    Identifying the Right Analysis

    • Questions to consider when determining the appropriate analysis include what is the purpose of the analysis?
    • Additional questions to ask are: What type of data is available?
    • Further questions involve: What is the desired outcome? Are there any constraints or limitations?

    Analysis Completeness

    • Components to test for completeness include: data accuracy, data completeness, and appropriate analysis technique.
    • Ensure that the analysis addresses the business problem and provides actionable insights.

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