The top business intelligence tools

As of my last knowledge update in January 2022, several business intelligence tools were widely used in the industry. Keep in mind that the popularity and features of these tools may have evolved since then. Here are some of the top business intelligence tools up to my last update.

Some of the best business intelligence tools till my last update :

Tableau :

Tableau is a widely used and powerful business intelligence and data visualization tool. Here are some key aspects of Tableau :

  1. Data Visualization : 
    • Strengths: Tableau excels in creating compelling and interactive data visualizations. It allows users to explore and understand their data through various charts, graphs, maps, and dashboards.
  2. Ease of Use :
    • Strengths: Tableau is known for its user-friendly interface, making it accessible to both non-technical users and data professionals. The drag-and-drop functionality simplifies the process of creating visualizations.
  3. Data Connectivity:
    • Strengths: Tableau can connect to a wide range of data sources, including databases, spreadsheets, cloud-based data, and more. It has connectors for popular data platforms like Microsoft Excel, SQL Server, and cloud services.
  4. Data Preparation:
    • Strengths: Tableau includes basic data preparation tools that allow users to clean and shape data within the platform. For more advanced data preparation, it can integrate with tools like Tableau Prep.
  5. Interactivity:
    • Strengths: Tableau provides a high level of interactivity in its visualizations. Users can interact with charts and dashboards, apply filters, and drill down into specific data points for deeper insights.
  6. Scalability:
    • Strengths: Tableau is scalable and can handle large datasets. It also offers Tableau Server and Tableau Online for sharing and collaborating on visualizations within an organization.
  7. Community and Support:
    • Strengths: Tableau has a large and active user community. Users can find a wealth of resources, forums, and tutorials online. Tableau also provides official training and support resources.
  8. Integration:
    • Strengths: Tableau integrates well with various data sources, and it can be embedded into other applications. It also supports integration with popular data platforms and technologies.
  9. Mobile Accessibility:
    • Strengths: Tableau provides mobile applications for iOS and Android devices, allowing users to access and interact with dashboards on the go.
  10. Advanced Analytics:
    • Strengths: While Tableau is primarily a visualization tool, it has added more advanced analytics features over time. It supports integrations with statistical tools and languages for users with more advanced analytics needs.
  11. Security:
    • Strengths: Tableau provides security features to control access to data and dashboards. This includes user authentication, permissions, and encryption.
  12. Tableau Public:
    • Unique Feature: Tableau Public is a free version of Tableau that allows users to create and share public visualizations. It’s a good option for individuals and organizations looking to share non-sensitive data publicly.

Tableau is widely used across industries for its ability to turn raw data into meaningful insights through intuitive and visually appealing dashboards. Its versatility makes it suitable for a range of users, from analysts and data scientists to business professionals who need to make data-driven decisions.  

Power BI (Microsoft) :

Power BI is a business intelligence and analytics tool developed by Microsoft. It empowers users to visualize and analyze data, share insights across an organization, or embed them in an app or website. Here are key aspects of Power BI :

  1. Data Connectivity:
    • Strengths: Power BI supports a wide range of data connectors, allowing users to connect to various data sources such as databases, cloud services, Excel files, and more. It integrates seamlessly with Microsoft products like Excel and Azure services.
  2. Data Modeling and Transformation:
    • Strengths: Power BI provides robust data modeling capabilities. Users can shape and transform data using Power Query, a data connectivity and preparation tool integrated into Power BI.
  3. Visualization:
    • Strengths: Power BI excels in creating compelling visualizations. It offers a variety of chart types, maps, and custom visuals. Users can build interactive and dynamic dashboards to convey insights effectively.
  4. DAX (Data Analysis Expressions):
    • Strengths: Power BI uses the DAX language for creating custom calculations and aggregations. This allows users to perform complex data analysis within the tool.
  5. Integration with Microsoft Ecosystem:
    • Strengths: Power BI is tightly integrated with other Microsoft products, including Excel, SharePoint, and Azure. This integration enhances collaboration and allows users to leverage existing Microsoft infrastructure.
  6. Power BI Service:
    • Strengths: Power BI Service is a cloud-based platform that allows users to share, collaborate, and publish Power BI reports and dashboards. It facilitates centralized management and sharing of insights within an organization.
  7. Power BI Desktop:
    • Strengths: Power BI Desktop is a free desktop application for creating reports and dashboards. It provides a user-friendly interface for designing and refining visualizations before publishing them to the Power BI Service.
  8. Natural Language Query (Q&A):
    • Strengths: Power BI includes a natural language query feature, known as Q&A. Users can ask questions in plain language, and Power BI will generate visualizations based on the data.
  9. Mobile Accessibility:
    • Strengths: Power BI offers mobile apps for iOS and Android devices. Users can access and interact with reports and dashboards on their mobile devices, ensuring flexibility and accessibility.
  10. Power BI Embedded:
    • Strengths: Power BI Embedded allows developers to embed Power BI reports and dashboards directly into custom applications, websites, or portals, extending the reach of analytics.
  11. Security and Governance:
    • Strengths: Power BI provides features for securing and governing data. This includes row-level security, encryption, and integration with Azure Active Directory for user authentication.
  12. Community and Support:
    • Strengths: Power BI has a vibrant community, and users can access a wealth of resources, forums, and tutorials. Microsoft also offers official training and support.

Power BI is widely used across industries due to its integration with the Microsoft ecosystem, user-friendly interface, and robust capabilities for data analysis and visualization. It is suitable for both small businesses and large enterprises looking to derive insights from their data.  

QlikView/Qlik Sense :

QlikView and Qlik Sense are business intelligence and data visualization platforms developed by Qlik. Both tools are known for their associative data modeling approach, allowing users to explore and analyze data interactively. Here are key aspects of QlikView and Qlik Sense :

QlikView :

  1. Associative Data Model:
    • Strengths: QlikView uses an associative data model, enabling users to explore data dynamically. This means that users can click on data points to instantly see related information.
  2. Dashboard Development:
    • Strengths: QlikView allows the creation of interactive and highly customizable dashboards. Users can design and modify visualizations easily to suit their analytical needs.
  3. Scripting Language (QlikView Script):
    • Strengths: QlikView uses a proprietary scripting language for data transformation and loading. This provides advanced users with powerful tools for manipulating and preparing data for analysis.
  4. Elasticsearch Capability:
    • Strengths: QlikView integrates with Elasticsearch, allowing users to combine data from QlikView and Elasticsearch for a more comprehensive analysis.
  5. Community and Support:
    • Strengths: QlikView has an active user community, and users can access forums and resources for support and collaboration.

Qlik Sense :

  1. Associative Data Model:
    • Strengths: Qlik Sense, like QlikView, utilizes an associative data model. This allows for intuitive exploration of data relationships and associations.
  2. Self-Service Visualization:
    • Strengths: Qlik Sense emphasizes self-service visualization, making it easier for users to create their own dashboards and reports without extensive technical expertise.
  3. Drag-and-Drop Interface:
    • Strengths: Qlik Sense features a user-friendly, drag-and-drop interface, making it accessible to a broader audience. Users can quickly create visualizations and build interactive dashboards.
  4. Data Connectivity:
    • Strengths: Qlik Sense supports a variety of data connectors, allowing users to connect to different data sources, including databases, spreadsheets, and cloud services.
  5. Qlik Sense Cloud:
    • Strengths: Qlik Sense Cloud is a cloud-based platform that enables users to create, share, and collaborate on Qlik Sense apps in the cloud. It facilitates easy sharing of insights with stakeholders.
  6. Mobile Accessibility:
    • Strengths: Qlik Sense provides mobile apps for iOS and Android devices, allowing users to access and interact with visualizations on the go.
  7. Advanced Analytics Integration:
    • Strengths: Qlik Sense integrates with advanced analytics tools, enabling users to incorporate predictive analytics and machine learning into their data analysis workflows.
  8. Multi-Cloud Deployment:
    • Strengths: Qlik Sense supports multi-cloud deployment, providing flexibility for organizations to deploy Qlik Sense in public or private cloud environments.
  9. Community and Support:
    • Strengths: Qlik Sense has a strong user community, and users can find a wealth of resources, documentation, and support options.

Both QlikView and Qlik Sense are known for their associative data model, allowing users to discover insights by exploring data relationships. The choice between QlikView and Qlik Sense may depend on factors such as specific use cases, deployment preferences, and the level of control users want over data modeling and scripting.