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Sisense is an advanced business intelligence (BI) tool designed to simplify complex data analysis and make insights accessible to all users within an organization, regardless of their technical expertise. Founded in 2004, Sisense has grown into a prominent BI platform known for its ability to integrate, analyze, and visualize data from multiple sources. Its primary goal is to provide organizations with the tools needed to turn data into actionable insights, helping them make data-driven decisions quickly and efficiently.

Features and Functions of Sisense

Sisense offers a variety of features that cater to different aspects of business intelligence, from data preparation to visualization and analytics. Here’s a detailed look at some of its key functionalities:

  1. Data Integration:

    • Elasticube Technology: Sisense utilizes its proprietary Elasticube technology, a high-performance database that allows users to combine data from multiple sources into a single, cohesive data model.
    • Broad Connectivity: Connects with various data sources including SQL databases, Excel, Google Analytics, Salesforce, and many more.
  2. Data Visualization:

    • Drag-and-Drop Interface: Users can create and manipulate dashboards and reports without needing to write code, thanks to an intuitive drag-and-drop interface.
    • Interactive Dashboards: Provides interactive dashboards that allow users to drill down into the data for deeper analysis.
  3. Advanced Analytics:

    • AI-Powered Insights: Incorporates AI to provide advanced statistical analysis, trend identification, and predictive analytics.
    • Natural Language Queries: Allows users to query data using natural language, making data analysis more accessible to non-technical users.
  4. Scalability and Performance:

    • In-Chip™ Technology: Uses a unique In-Chip™ technology that processes data up to 10 times faster than in-memory solutions, ensuring quick response times even with large datasets.
    • Scalable Architecture: Designed to scale horizontally and vertically, making it suitable for both small businesses and large enterprises.
  5. Embedded Analytics:

    • White Labeling: Offers extensive customization options for embedding analytics into other applications with the same look and feel as the host application.

Pros and Cons of Sisense


  • User-Friendly Interface: Sisense is designed to be user-friendly, making complex data analysis more accessible to non-technical users.
  • Powerful Data Integration Tools: Its ability to handle large volumes and diverse sources of data is particularly strong.
  • High Performance: The In-Chip™ technology and Elasticube database ensure high performance and scalability.
  • Customizable and Embeddable: Great for businesses looking to embed analytics into their own applications or services.


  • Cost: Sisense can be quite expensive, especially for small businesses or startups.
  • Resource Intensive: While high performing, the backend setup can be resource-intensive and might require strong hardware, especially for larger datasets.
  • Learning Curve: Despite its user-friendly interface, there is a learning curve associated with mastering all its capabilities, particularly around its advanced features.

How to Use Sisense

  1. Setup and Integration:

    • Start by setting up Sisense on your server or cloud infrastructure. Then, integrate it with your data sources using built-in connectors or API integrations.
  2. Data Modeling:

    • Use Sisense’s Elasticube Manager to create data models. This process involves defining relationships between different data sets, cleaning up data, and organizing it effectively.
  3. Create Dashboards:

    • Utilize the drag-and-drop interface to design interactive dashboards. Choose from various visualization options like charts, graphs, and tables to best represent your data.
  4. Analyze and Share Insights:

    • Use the dashboards to analyze data, gain insights, and make decisions. Share these dashboards across your organization or embed them into your own applications to make informed decisions based on real-time data.
  5. Maintain and Update:

    • Regularly update your data sources and dashboards to reflect new data and changing business requirements. Use feedback from users to refine the analytics and visualizations.


Sisense is a powerful business intelligence platform suited for businesses that require deep data integration and analysis capabilities. Its combination of user-friendly design, robust data handling, and advanced analytical features make it an excellent choice for organizations looking to enhance their data-driven decision-making processes. Despite its cost and the potential complexity in deployment, Sisense’s benefits in transforming data into actionable business insights are significant, making it a valuable tool in the arsenal of modern businesses.


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