Business Intelligence and Analytics Chapter 6
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Questions and Answers

What is the primary goal of Business Intelligence?

  • To reduce data complexity
  • To improve decision making (correct)
  • To simplify data storage
  • To enhance data security
  • Which of the following is a type of data visualization?

  • Word cloud (correct)
  • Conversion funnel
  • Linear regression
  • Data cube
  • What is the purpose of Online Analytical Processing (OLAP)?

  • To identify issues and opportunities
  • To perform trend analysis
  • To predict future trends and behaviors
  • To analyze multidimensional data (correct)
  • What is the main idea behind a data cube?

    <p>A collection of data categorized by dimensions</p> Signup and view all the answers

    What is drill-down analysis?

    <p>An interactive examination of high-level summary data</p> Signup and view all the answers

    What is linear regression used for?

    <p>To predict the value of a dependent variable</p> Signup and view all the answers

    What is the purpose of data mining?

    <p>To explore large amounts of data for hidden patterns</p> Signup and view all the answers

    What is a dashboard?

    <p>A presentation of a set of KPIs</p> Signup and view all the answers

    Study Notes

    Business Intelligence (BI)

    • A wide range of applications, practices, and technologies for extracting, transforming, integrating, visualizing, analyzing, interpreting, and presenting data to support improved decision making.

    Data Visualization

    • Presentation of data in a pictorial or graphical format.
    • Examples: Word cloud, Conversion funnel.

    Data Analysis Tools

    • Online Analytical Processing (OLAP): analyzes multidimensional data from multiple perspectives, enabling users to identify issues, opportunities, and perform trend analysis.
    • Data cube: a collection of data containing numeric facts (measures) categorized by dimensions (e.g., time, geography).
    • Drill-down analysis: interactive examination of high-level summary data to gain insight into specific elements.

    Data Mining

    • Exploration of large amounts of data to discover hidden patterns, predict future trends and behaviors for decision making.
    • Cross-Industry Process for Data Mining (CRISP-DM): a six-phase structured approach for planning and executing data mining projects.

    Performance Metrics

    • Key Performance Indicator (KPI): a metric tracking progress in executing chosen strategies to attain organizational objectives and goals.
    • KPI consists of a direct measure, target, and time frame.
    • Dashboard: a presentation of a set of KPIs about the state of a process at a specific point in time.

    Analytics Self-Service

    • Training, technology, and processes that empower end-users to work independently, accessing data from approved sources to perform their own analysis using endorsed tools.

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    Description

    Test your knowledge of Business Intelligence and Analytics concepts, including data visualization, word clouds, and conversion funnels, to support informed decision making.

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