11.3.1 Business intelligence

    Cards (44)

    • What does Business Intelligence (BI) involve?
      Transforming raw data into insights
    • Business Intelligence is primarily used for strategic decision-making.
      True
    • Business Intelligence tools are highly scalable.
      True
    • What type of insights does Internet of Things (IoT) data provide?
      Real-time insights
    • Internal data for Business Intelligence includes sales records, customer information, and operational logs
    • Data mining is used to discover hidden patterns and trends
    • BI uses both structured and unstructured
    • What is an example of internal data used in BI?
      Sales records
    • Mobile data in BI enables targeted marketing and personalized experiences
    • External data for Business Intelligence includes market trends and competitor information.

      True
    • Mobile data, such as location and usage patterns, enables targeted marketing
    • Data mining applies advanced analytical techniques to discover hidden patterns
    • Traditional data analysis methods primarily rely on spreadsheets and SQL databases.

      True
    • BI tools are designed to handle large and complex datasets more effectively than spreadsheets.

      True
    • Order the BI processes and tools:
      1️⃣ Data Warehousing
      2️⃣ Data Mining
      3️⃣ Reporting
      4️⃣ Online Analytical Processing (OLAP)
    • Web and social media data drives marketing and product strategies
    • Big Data sources for BI facilitate more informed and strategic decisions.
      True
    • The purpose of Business Intelligence is strategic decision-making
    • Name three popular Business Intelligence (BI) tools.
      Tableau, Power BI, Qlik Sense
    • BI platforms are more scalable than traditional spreadsheets.
      True
    • BI-powered insights can enhance customer experience through personalized marketing.

      True
    • What does Online Analytical Processing (OLAP) enable?
      Multi-dimensional data analysis
    • Which tools are commonly used in Business Intelligence?
      Tableau and Power BI
    • External data in BI includes market trends and competitor information
    • Match the source of Big Data with its description:
      Internal Data ↔️ Data generated within the organization
      External Data ↔️ Data from outside the organization
      IoT Data ↔️ Data from connected devices
      Web and Social Media Data ↔️ Data from websites and platforms
    • IoT data provides real-time insights into operations, supply chains, and customer behavior
    • Match the Big Data source with its example:
      Internal Data ↔️ Sales records
      External Data ↔️ Market trends
      IoT Devices ↔️ Sensor data
      Web and Social Media ↔️ Customer reviews
      Mobile Data ↔️ App interactions
    • Tableau is a BI tool known for interactive data visualization
    • Business Intelligence (BI) transforms raw data into actionable insights
    • Internal data improves efficiency and decision-making
    • What are the key sources of Big Data for Business Intelligence?
      Internal Data, External Data, IoT Devices, Web and Social Media, Mobile Data
    • What are the key Business Intelligence (BI) processes and techniques?
      Data Warehousing, Data Mining, Reporting, OLAP
    • BI handles both structured and unstructured data.
      True
    • Tableau is known for interactive data visualization
    • How does BI impact business strategy?
      Informed decision-making
    • Match the impact of BI with its description:
      Informed Decision-Making ↔️ Data-driven strategic decisions
      Operational Efficiency ↔️ Optimized processes and reduced costs
      Customer Centricity ↔️ Personalized marketing strategies
      Competitive Advantage ↔️ Outperforming competitors
    • Data from social media platforms can be used to analyze customer sentiment and engagement.

      True
    • Data warehousing is the process of storing structured data from various sources in a centralized location.
      True
    • Order the Business Intelligence (BI) processes and techniques:
      1️⃣ Data Warehousing
      2️⃣ Data Mining
      3️⃣ Reporting
      4️⃣ Online Analytical Processing (OLAP)
    • Match the BI tool with its key feature:
      Tableau ↔️ Self-service analytics
      Microsoft Power BI ↔️ Natural language processing
      Qlik Sense ↔️ Smart visualizations
      SAP BusinessObjects ↔️ Enterprise-level BI suite
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