Sisense

Convert data into revenue with AI-powered analytics.

AI-powered analytics data analysis embedded intelligence pro-code low-code no-code

Tool Information

Primary Task	Data analysis
Category	data-and-analytics
Sub Categories	data-analysis business-intelligence low-code-development no-code-platforms
API Available	Yes
Country	United States

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 is a prominent business intelligence and analytics company founded in 2004 in Tel Aviv, Israel. Headquartered in New York, Sisense is recognized for its innovative data analytics solutions that enable businesses to make informed decisions quickly and efficiently. The company focuses on simplifying the management, analysis, and visualization of complex data through its comprehensive analytics platform.

The Sisense platform features unique technologies like In-Chip and Single-Stack, which enhance performance and usability for non-technical users. The company has integrated AI and machine learning capabilities into its offerings and has made significant investments in cloud infrastructure, including a Linux-based micro-services architecture. Sisense serves a diverse clientele, including well-known brands such as Target and Samsung, and operates in over 50 countries. The company has received substantial funding and accolades for its contributions to the business intelligence field.

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) 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 Industry-specific features not specified Limited tools for data cleaning

Management Team

Amir Orad

CEO

Ariel Katz

Chief Products and Technology Officer, Sisense Israel GM

Ashley Kramer

Chief Product and Marketing Officer

Harry Glaser

CMO and GM, San Francisco

Frequently Asked Questions

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. Does Sisense offer a single sign-on feature?

Yes, Sisense offers a single sign-on feature. This improves the user experience by streamlining the authentication process.

14. In which industries can Sisense be applied?

Sisense can be applied in several industries, including but not limited to healthcare, retail, manufacturing, tech, financial services, and pharma and life sciences.

15. Does Sisense have application in the tech and financial services industry?

Yes, Sisense has applications in both the tech and financial services industries. The platform enables businesses in these sectors to gain meaningful insights from their data, assisting them in reaching their goals through data-driven decisions.

16. How can Sisense aid in making data-driven decisions?

Sisense aids in making data-driven decisions by providing tools for comprehensive analytics. Its actionable intelligence capability enables users to take direct actions based on insights, facilitating effective decision-making.

17. Is Sisense appropriate for embedded intelligence in product development?

Yes, Sisense is appropriate for embedding intelligence into product development. It offers capabilities across pro-code, low-code, and no-code, making it suitable for a range of development processes.

18. What is Sisense’s FusionCompose SDK?

FusionCompose SDK is a new release from Sisense that gives users full control over their analytics experience within the product. It facilitates the creation of seamless analytics experiences in any product.

19. Can I use Sisense's Javascript API & Add-ons to tweak visualizations and apply custom formattings?

Yes, with Sisense's Javascript API & Add-ons, users can build new widgets, tweak out-of-the-box visualizations, and apply custom formatting. These capabilities allow users to customize their analytical interface to suit their needs and preferences.

20. How does the Sisense Single Sign-On authenticate users?

Sisense Single Sign-On authenticates users by confirming their credentials, then signaling to Sisense that the user has been authenticated. This simplifies access for the user, enhancing the overall user experience.