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What does it do?

  • Business Intelligence
  • Data Visualization
  • Anomaly Detection
  • Embedded Analytics
  • Data-Driven Applications

How is it used?

  • Access Sisense via web app to create custom analytic dashboards.
  • 1. Use web app
  • 2. Customize dashboards
  • 3. Visualize data
  • 4. Integrate w/ platforms
See more

Who is it good for?

  • Data Analysts
  • Product Managers
  • Software Developers
  • Business Executives
  • Business Intelligence Professionals

Details & Features

  • Made By

    Sisense
  • Released On

    2010-05-16

Sisense is a comprehensive business intelligence and analytics platform that empowers organizations to analyze large datasets and derive actionable insights. The software leverages artificial intelligence and machine learning to provide customizable dashboards, interactive visualizations, and embedded analytics capabilities.

Key features:

- Sisense Fusion: AI-powered analytics suite allowing customization of dashboards and visualizations by industry and user role.
- Data Visualization: Interactive tools to help users uncover insights and trends in their data.
- Anomaly Detection: Alerts users to unusual patterns or results in their data.
- Embedded Analytics: Enables developers to integrate analytics into their products, enhancing user experience with AI-driven insights.
- Compose SDK: Flexible developer toolkit for creating data-driven applications with customizable analytics components.
- Customizable Components: Range of purpose-built analytics components including querying, charting, and data exploration.
- Tech Stack Flexibility: SDK libraries compatible with popular frameworks like React, Angular, and Vue, as well as TypeScript.
- Component Integration: Ability to incorporate custom charts, UI libraries, and components or extend Sisense's existing components.

How it works:

1. Users access Sisense through its web application.
2. Analysts, engineers, and developers transform complex data structures into analytic apps.
3. Users create custom dashboards and visualize data.
4. AI-powered insights inform decision-making processes.

Integrations:

Adobe Analytics, AWS, Microsoft Azure Synapse Analytics, Snowflake

Use of AI:

Sisense Fusion utilizes artificial intelligence and machine learning to analyze data, provide actionable insights, and detect anomalies in datasets.

AI foundation model:

The platform leverages AI and machine learning technologies to power its analytics capabilities, though specific details about the foundation model are not provided.

Target users:

- Analysts
- Engineers
- Developers
- Business users

How to access:

Sisense is available as a web application. The company also provides APIs and SDKs for developers to integrate analytics into their products.

Company background:

Sisense was founded in 2004 in Tel Aviv, Israel, initially focusing on research and development. The company publicly launched its products in 2010 and has since undergone significant developments and updates.

  • Supported ecosystems
    AWS, Microsoft Azure Synapse Analytics, Adobe Analytics, Snowflake, AWS, Microsoft Azure Synapse Analytics, Adobe Analytics, Snowflake, Google, Android, Google, iOS, Apple
  • What does it do?
    Business Intelligence, Data Visualization, Anomaly Detection, Embedded Analytics, Data-Driven Applications
  • Who is it good for?
    Data Analysts, Product Managers, Software Developers, Business Executives, Business Intelligence Professionals

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