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 (C)</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 (D)</p> Signup and view all the answers

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

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

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

<p>Power BI (C)</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 (A)</p> Signup and view all the answers

What is a unique feature of Looker?

<p>Powerful data modeling layer (D)</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 (A)</p> Signup and view all the answers

What is a limitation of Looker?

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

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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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