Top 15 Business Intelligence (BI )Tools for 2025

In the dynamic realm of business intelligence (BI), selecting the optimal tool is paramount for deriving actionable insights and informed decision-making. With the BI sector projected to reach a valuation of $61.86 billion USD by 2029, as reported by Mordor Intelligence, the array of available tools is vast and varied. This guide delves into the top 15 BI tools of 2024, highlighting their unique features and advantages to assist you in making an informed choice.

1. SAP Business Objects

SAP Business Objects offers a comprehensive suite for reporting, analysis, and interactive data visualization. Emphasizing areas like Customer Experience (CX), CRM, and digital supply chain management, it provides self-service, role-based dashboards, enabling users to craft personalized applications. While its extensive functionalities cater to diverse roles—from IT professionals to management—the platform’s complexity may influence its pricing structure.

2. MicroStrategy

MicroStrategy is an enterprise-grade BI tool renowned for its robust dashboarding and data analytics capabilities. It supports connections to multiple data sources, including spreadsheets and cloud-based applications, and is accessible via desktop and mobile devices. The platform’s setup can be intricate, often necessitating specialized knowledge for optimal deployment.

MicroStrategy business intelligence BI

3. SAS Augmented Analytics

SAS, established in the 1970s, is celebrated for its advanced predictive analytics. Its BI platform empowers users to leverage data for informed decision-making, offering extensive customization through APIs and ensuring high-level data integration. Notably, its text analytics feature provides contextual insights, enhancing data interpretation.

4. Yellowfin BI

Yellowfin BI is an end-to-end analytics platform that integrates visualization, machine learning, and collaboration. It offers intuitive filtering options and flexible accessibility across devices. The platform’s no-code/low-code development environment facilitates the creation of advanced dashboards and visualizations without extensive technical expertise.

5. Qlik Sense

Qlik Sense is a comprehensive data analytics platform optimized for touchscreen devices, providing a seamless user experience. Its associative analytics engine, combined with sophisticated AI and a high-performance cloud platform, enables users to explore data interactively. The Search & Conversational Analytics feature allows users to query data using natural language, streamlining the discovery of insights.

6. Zoho Analytics

Zoho Analytics is a self-service BI tool designed for in-depth reporting and data analysis. It offers automatic data syncing, customizable reports, and dashboards, along with a unique commenting feature to enhance collaboration. Users can blend data from various sources to create comprehensive reports tailored to their needs.

zoho
Source: zoho.com

7. Sisense

Sisense is a user-friendly BI tool that enables users to manage and analyze large datasets without requiring IT intervention. It integrates data from diverse sources, including Google Analytics and Salesforce, and utilizes in-chip technology for rapid data processing. Recognized as a leading cloud analytics platform by industry experts, Sisense offers robust capabilities for data analysis and visualization.

Sisense business intelligence BI

8. Microsoft Power BI

Microsoft Power BI is a web-based analytics suite that excels in data visualization. It allows users to identify trends in real-time and integrates seamlessly with various applications. Accessible from virtually anywhere, Power BI enables users to create and share reports and dashboards, facilitating data-driven decision-making across organizations.

9. Google Data Studio

Google Data Studio is a free, web-based BI tool that enables users to create interactive and customizable dashboards and reports. It integrates seamlessly with other Google services and various data sources, allowing users to visualize data in real-time. Its intuitive drag-and-drop interface and sharing capabilities empower users to collaborate and make data-driven decisions effortlessly.

10. TIBCO Spotfire

TIBCO Spotfire is a powerful BI and data visualization tool known for its advanced analytics capabilities. It enables users to quickly analyze complex datasets through interactive dashboards, visualizations, and predictive analytics. With features such as drag-and-drop functionality and extensive data connectivity options, Spotfire empowers users to gain insights and make data-driven decisions without heavily relying on IT support.

11. Clear Analytics

Clear Analytics is an intuitive, Excel-based BI tool that caters to users with varying levels of technical expertise. It offers self-service capabilities for creating, automating, analyzing, and visualizing data. The platform integrates with Microsoft Power BI, utilizing Power Query and Power Pivot to clean and model datasets, making it a versatile tool for data analysis.

12. Tableau

Tableau specializes in data discovery and visualization, allowing users to analyze, visualize, and share data seamlessly. It supports multiple data sources, including MS Excel, Oracle, and Salesforce, providing access to well-designed, user-friendly dashboards. Tableau offers various products, such as Tableau Desktop and Tableau Server, catering to both individual users and organizations.

business intelligence BI Tableau
Source: tableau.com

13. Oracle BI

Oracle BI is an enterprise portfolio offering a wide range of BI capabilities, including dashboards, proactive intelligence, and ad hoc analysis. It is particularly effective for companies needing to analyze large data volumes from both Oracle and non-Oracle sources. Key features include data archiving, versioning, a self-service portal, and alert notifications.

14. Domo

Domo is a fully cloud-based business intelligence (BI) platform that integrates multiple data sources, including spreadsheets, databases, and social media channels. It caters to both small enterprises and large multinational corporations, offering micro and macro-level visibility and analyses. Powered by its AI engine, Mr. Roboto, Domo provides predictive analytics, delivering insights such as cash balances, regional best-selling products, and marketing return on investment (ROI) calculations for each channel. However, users may encounter challenges when attempting to download analyses from the cloud for personal use, and the platform’s learning curve can be steep.

15. IBM Cognos Analytics

IBM Cognos Analytics is an AI-driven business intelligence platform that supports the entire analytics cycle, from data discovery to operationalization. Users can visualize, analyze, and share actionable insights with colleagues, leveraging AI to uncover hidden patterns and present data in intuitive, visualized reports. While the platform offers a comprehensive suite of features, new users may require time to familiarize themselves with its full capabilities.

Enhancing Business Intelligence with Customer Feedback

While business intelligence tools are instrumental in aggregating and analyzing data from various sources, they often lack direct mechanisms for collecting customer feedback. Integrating Voice of Customer (VoC) data into your BI strategy can provide deeper insights into customer experiences, fostering loyalty and enhancing online interactions. To achieve this, consider implementing customer feedback collection and analysis tools that complement your existing BI systems.

Exploring Additional Marketing Technology Tools

To further enrich your business intelligence initiatives, explore various marketing technology tools that can provide valuable insights. Resources such as customer feedback tools, customer journey mapping tools, and usability testing tools can offer comprehensive perspectives on customer behavior and preferences.

Experience Mopinion’s All-in-One User Feedback Platform

To see how integrating customer feedback can enhance your business intelligence efforts, consider exploring Mopinion’s all-in-one user feedback platform. You can request a demo or try the software to understand how it can complement your existing BI tools and strategies.

Conclusion

Selecting the appropriate business intelligence BI tool is crucial for transforming data into actionable insights. By integrating customer feedback mechanisms and exploring complementary marketing technology tools, businesses can develop a more holistic understanding of their operations and customer experiences, leading to more informed decision-making and strategic growth.

Andrej Fedek is the creator and the one-person owner of two blogs: InterCool Studio and CareersMomentum. As an experienced marketer, he is driven by turning leads into customers with White Hat SEO techniques. Besides being a boss, he is a real team player with a great sense of equality.