Sisense logo

Sisense

Combines data from various sources, analyzes it, and presents interactive visualizations.

Made by SiSense

  • analytics

  • Business Intelligence

  • business-and-commerce

  • data-analysis

  • analytical-reporting

  • big-data

  • dashboards

  • reporting-software

  • business-analytics

What is Sisense?

Sisense is a comprehensive business intelligence and data analytics platform that empowers non-technical users to seamlessly join, analyze, and visualize large, complex data sets through interactive dashboards. The Sisense Fusion AI-driven embedded analytics solution infuses intelligent insights directly into workflows, processes, and applications, enhancing the overall customer experience

Highlights

  • Ability to connect and ingest data from multiple disparate sources, including cloud and on-premises systems, into a unified data store
  • Robust data mashup and transformation capabilities to provide a complete view of the business
  • Flexible data modeling options, including live and cached data, to optimize performance and manage resource utilization
  • Extensive library of integrated visualization widgets and certified add-ons for building beautiful, actionable analytics applications
  • Comprehensive API and developer toolkits for seamless integration and white-labeling of analytics into products and services
  • Deployment flexibility, from web portals to custom applications and even conversational platforms like chatbots and Alexa

Platforms

  • Desktop Mac
  • Windows
  • Web-based
  • Linux
  • Mobile iPhone
  • Android
  • Windows Mobile
  • iPad
  • Mac
  • Mobile iPad
  • Online
  • Windows Phone
  • On-Premise Windows
  • Desktop Chromebook
  • Desktop Windows
  • Software as a Service (SaaS)
  • Web
  • Cloud, SaaS, Web-based
  • Mobile Android
  • Desktop Linux
  • iPhone
  • On-Premise Linux

Languages

  • English
  • German
  • French
  • Italian
  • Japanese
  • Korean
  • Dutch
  • Portuguese
  • Russian
  • Spanish
  • Turkish

Features

    • Data visualization

    • Self-Serve Capability

    • Data-management