Sisense (Productivity)
Screenshot of Sisense

Sisense

Discover what Sisense is and how its pro-code and no-code analytics platform helps teams build and embed data-driven experiences.

Screenshot

What is Sisense?

Sisense is a flexible analytics platform designed to serve both seasoned developers and users new to data. It offers pro-code, low-code, and no-code options, so you can build analytical experiences the way you want — including embedding them directly into your own products. You can pull data from different sources using its RESTful web API and standard SQL queries, making it easier to get a complete picture of your business.

Sisense also makes interacting with data more engaging through features like conversational analytics, AI-powered chatbots, and automated narratives. It serves a wide range of industries, including healthcare, retail, manufacturing, tech, financial services, and pharma, helping businesses in these sectors make data-driven decisions.

Who created Sisense?

Sisense was founded by a group of people who emphasized a set of core principles that shape the company’s culture:

  • Bias for Action — moving quickly and decisively
  • Caring — genuine concern for team members’ well-being
  • Customer-Centric — understanding and solving customer challenges
  • Inclusivity — ensuring everyone feels welcome and valued
  • Disruptors — pushing for innovation and new ways of thinking

What is Sisense used for?

Sisense supports a broad set of data-related tasks:

  • Git Integration: Manage analytics projects, track changes, and collaborate more easily.
  • Seamless Analytical Experiences: Deliver analytics that feel integrated, whether embedded in applications or used standalone.
  • Multi-Source Data Access: Connect to and combine data from many sources for a complete view of your business.
  • Conversational Analytics: Chat with your data via AI-powered chatbots and narratives, making insights more accessible.
  • Actionable Intelligence: Go beyond viewing data with insights that prompt direct action and drive results.
  • Data Modeling Across Multiple Sources: Build robust data models by linking information from various sources.
  • Single Sign-On: Streamline and secure user access to data.
  • Embeddable Intelligent Analytics: Embed analytics directly into your own applications, websites, or portals.
  • Interactive Data Exploration: Let users explore data themselves with flexible, interactive tools.
  • Data Storytelling: Present data in a clear narrative format that helps stakeholders make informed decisions.

Bottom line

Sisense is a good fit for organizations that want to combine data from multiple sources, build custom analytical experiences, and embed analytics into their own products — with enough flexibility to serve both developers and non-technical users.

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