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Data analysis

Sisense ✓

Embed AI-powered analytics to monetize your data.

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AI-powered Analytics Multisource Data Access Data Analysis
More categories (4)
Actionable Intelligence Low Code No-code Data analysis
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Verdict

A quick read before you dig into the full page.

Best if
Embed AI-powered analytics to monetize your data
Skip if
Complex for basic users
Pick this when
Pro-code, low-code, no-code capabilities

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Overview

Sisense is an AI-powered analytics platform built to embed intelligence into various products. It offers tools for pro-code, low-code, and no-code capabilities, making it applicable to a range of users from developers to end-users.

With Sisense, users can seamlessly create analytical experiences, manage analytics through the release processes, and easily access data from multiple sources.

The platform also features conversational analytics capability, which enriches user experience with analytics chatbots, narratives, and AI features. Advanced users have access to a RESTful web API, and developers can run standard SQL queries to get data from data models.

One key feature of Sisense is its actionable intelligence capability enabling users to take direct actions based on data-driven insights. It provides explainability, allowing users to assess data outcomes and interpret analytics.

Sisense is scalable, simplifying the developing and managing of analytics, and offers the ability to join multiple data sources and create relationships for extensive data modelling.

With its single sign-on feature, Sisense further improves user experience by streamlining the authentication process. The platform caters to several industries, including healthcare, retail, manufacturing, tech, financial services, and pharma and life sciences, helping businesses achieve their goals through data-driven decisions.

Sisense website

Access & connections

Where you can use Sisense.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Tabular

Output

  • Tabular
  • API

Pros & cons

Pros

  • Pro-code, low-code, no-code capabilities
  • Seamless analytical experiences
  • Scalability for analytics management
  • Multi-source data access
  • Conversational analytics feature
  • RESTful web API for developers
  • Actionable intelligence capability
  • Data interpretability (Explainability)
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  • Data modelling across multiple sources
  • Single sign-on feature
  • Industry-specific applicability
  • Git Integration
  • Standard SQL queries for data extraction
  • User and developer authentication
  • Developer-friendly with API and SDKs
  • Embeddable intelligent analytics
  • Javascript API for custom widgets
  • Cloud and on-premise deployment
  • Connectivity for quick data access
  • Comprehensive data visualization
  • Extensive data modeling capability
  • Robust security and authentication
  • API and SDK compatibility
  • Supports multiple data connectors
  • Scalability and flexibility
  • Interactive data exploration options
  • Enables actionable insights
  • Data storytelling for decision making
  • Supports various industries & departments
  • Git integration for developers
  • Analytic chatbots and narratives
  • Workflows for release processes
  • Cloud-native for fast performance
  • Data outcomes for analytics interpretation
  • Developer Portal and Playground

Cons

  • No-code usability not specified
  • SQL needed for data extraction
  • Complex for basic users
  • Limited explainability features
  • Dependent on data quality
  • No obvious real-time capabilities
  • Limited predictive analytics
  • Learning curve for SDK
Show 2 more
  • Industry-specific features not specified
  • Limited tools for data cleaning

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Releases 1

Initial release September 21, 2023 Current
Initial release of Sisense.

FAQ 12

Does Sisense support both pro-code and no-code capabilities?
Yes, Sisense supports both pro-code and no-code capabilities, providing a flexible platform for users of varying technical capabilities.
What is the range of users that can utilize Sisense?
Sisense can be utilized by a broad range of users, from developers to end-users. This includes individuals who are comfortable with pro-code, those who prefer low-code environment, and users who favor no-code capabilities.
How does Sisense help in creating analytical experiences?
Sisense enables users to create analytical experiences in a seamless manner. It provides the tools needed for embedding analytics within various products, enhancing the value these products deliver. Furthermore, users can leverage RESTful web API and SQL queries to extract data from multiple sources, enabling comprehensive analysis.
Can Sisense manage analytics through different release processes?
Yes, Sisense can manage analytics through various release processes. This is possible thanks to its Git Integration functionality that allows managing analytics seamlessly through development to release stages.
What data sources can Sisense access?
Sisense is capable of accessing data from multiple sources. This capability allows users to retrieve, analyze and interpret data, further strengthening their analytics and decision-making abilities.
What is the conversational analytics capability of Sisense?
Sisense's conversational analytics capability enriches the user experience with analytics chatbots, narratives, and additional AI features. This provides an interactive way for users to engage with data and achieve meaningful insights.
Does Sisense provide AI features like analytics chatbots and narratives?
Yes, Sisense provides AI features such as analytics chatbots and narratives. These features enhance user interaction with data, providing a more immersive analytical experience.
What kind of users have access to the RESTful web API in Sisense?
Advanced users and developers have access to the RESTful web API in Sisense. This provides enhanced server functionalities and allows users to interact with data more comprehensively.
How can I run standard SQL queries in Sisense?
Users can run standard SQL queries in Sisense to get data from their data models. This allows for in-depth data exploration and manipulation, leading to more insightful analytics.
How does actionable intelligence capability work in Sisense?
Sisense's actionable intelligence capability enables users to take direct actions based on data-driven insights. This means that insights generated by the system can prompt actions, enhancing efficiency and effectiveness of decisions.
What is the explainability feature of Sisense?
The explainability feature of Sisense allows users to quickly assess data outcomes and interpret analytics. It improves understanding of results, ensuring that users can make informed, data-driven decisions.
How can Sisense join multiple data sources for extensive data modelling?
Sisense can join multiple data sources and create relationships for extensive data modeling. This allows users to create comprehensive and insightful visualizations and analyses in a streamlined manner.
Sisense
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