Business Intelligence Tools and Technologies
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Questions and Answers

What is a key feature of IBM Cognos Analytics that sets it apart from other BI tools?

  • Low scalability
  • Geospatial capabilities (correct)
  • Comprehensive dashboard features
  • Manual data blending
  • Which BI tool is known for its exceptional data visualization capabilities?

  • IBM Cognos Analytics
  • Tableau (correct)
  • Looker
  • Power BI
  • What is a disadvantage of using IBM Cognos Analytics?

  • Easy learning curve
  • Requires a steep learning curve (correct)
  • Low cost
  • Lack of scalability
  • Which of the following is a benefit of using IBM Cognos Analytics?

    <p>Preferred by cloud users</p> Signup and view all the answers

    What is a limitation of IBM Cognos Analytics in terms of dashboard features?

    <p>Lacks comprehensive dashboard features</p> Signup and view all the answers

    What is a key benefit of IBM Cognos Analytics' AI features?

    <p>Accelerates and improves data blending</p> Signup and view all the answers

    Which tool is known for its seamless integration with Microsoft products?

    <p>Power BI</p> Signup and view all the answers

    What is a limitation of Tableau's data preparation capabilities?

    <p>It relies on other tools for data preparation</p> Signup and view all the answers

    What is a unique feature of Looker?

    <p>Powerful data modeling layer</p> Signup and view all the answers

    Why is Power BI a popular choice for small and medium businesses?

    <p>It has cheap licensing costs</p> Signup and view all the answers

    What is a limitation of Looker?

    <p>It has limited customization and data modeling capabilities</p> Signup and view all the answers

    What is a feature of Tableau that supports complex calculations and forecasting?

    <p>Built-in functions and integration with R and Python</p> Signup and view all the answers

    Study Notes

    Dashboard and Visualization Tools

    • IBM Cognos Analytics is a cloud-based BI software powered by AI, offering self-service and geospatial capabilities, seamless access on desktop or mobile devices, and advanced analytics, customization, and scalable distribution.

    IBM Cognos Analytics

    • Preferred by cloud users
    • Highly scalable and customizable
    • Built-in AI features for accelerated and improved data blending
    • Lacks comprehensive dashboard features
    • Steep learning curve due to numerous features
    • High-priced with additional paid features

    Tableau

    • Exceptional data visualization capabilities
    • User-friendly interface for creating intuitive visualizations and interactive dashboards
    • Drag-and-drop functionality for data exploration and insight gain
    • Advanced analytics capabilities for complex calculations, statistical analysis, and forecasting
    • Integration with R and Python for advanced analytics
    • Seamless integration with various data sources
    • Extensive library of pre-built visualizations and interactive elements
    • Vast repository of resources and community support
    • Limited data preparation capabilities
    • Rely on other tools for data preparation
    • Expensive licensing options
    • Steep learning curve for navigating advanced features and complex data models

    Power BI

    • Specialized data visualization capabilities
    • Seamless integration with Microsoft products (Excel, SharePoint, Teams, Power Automate, and Azure)
    • Ability to leverage existing data sources and collaborate within the Microsoft ecosystem
    • Question-and-answer feature for interacting using natural language
    • Instant answers through visualizations
    • Access to reports and dashboards on the go through Power BI Mobile apps
    • Collection of pre-trained machine learning models enhancing data preparation efforts
    • Popular with Microsoft Office users
    • Robust sharing and collaboration capabilities with access control policies
    • Cheap licensing costs attracting small and medium businesses
    • Limited customization and data modeling capabilities
    • Premium subscriptions for some advanced features

    Looker

    • Cloud-based self-service data visualization and exploration tool
    • Powerful data modeling layer for defining relationships between datasets and creating reusable metrics and dimensions
    • Data visualization integrations into applications or websites
    • Granular access controls, auditing capabilities, and integration with single sign-on providers for securing sensitive data
    • Favored by companies invested in cloud infrastructure
    • Model customization and complex calculations through LookML (Looker Modeling language)
    • Capability to extend functionality as needed through comprehensive APIs
    • Detailed user-interaction history through granular access control and auditing capabilities
    • Need for SQL and database expertise
    • Long render times for large data sets
    • No budget-friendly pricing plan

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    Description

    Evaluate and compare different business intelligence tools and technologies, including dashboard and visualization tools, and their features, pros, and cons in the BI analyst ecosystem.

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