Sisense

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Sisense enables versatile analytics with pro-code and no-code options for data-driven insights across multiple industries.

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What is Sisense?

Sisense is a versatile analytics platform that caters to users with various technical capabilities, ranging from developers to end-users. It supports both pro-code and no-code capabilities, allowing for flexibility in creating analytical experiences by embedding analytics within products. Users can leverage RESTful web API and SQL queries to extract data from multiple sources, enabling comprehensive analysis. Sisense offers features like conversational analytics, AI-powered chatbots, and narratives to enhance user interaction with data. The platform is suitable for various industries such as healthcare, retail, manufacturing, tech, financial services, and pharma and life sciences, providing meaningful insights for data-driven decision-making. Additionally, Sisense promotes a culture of "Bias for Action," caring for its team members, customer-centric strategy, inclusivity, and a disruptor mindset to drive innovation and excellence.

Who created Sisense?

Sisense was launched on September 21, 2023. The company was founded by a team of individuals who emphasized principles such as "Bias for Action," "Caring," "Customer-Centricity," "Inclusivity," and being "Disruptors." These principles guide the company culture focused on quick, decisive actions, genuine care for team members' well-being, understanding and addressing customers' challenges, fostering an inclusive environment, and promoting innovation and critical thinking. Sisense offers a platform with pro-code, low-code, and no-code capabilities, supporting various industries like healthcare, retail, manufacturing, tech, financial services, and pharma, enabling data-driven decision-making and creating seamless analytical experiences.

What is Sisense used for?

Git Integration
Seamless analytical experiences
Multi-source data access
Conversational analytics feature
Actionable intelligence capability
Data modeling across multiple sources
Single sign-on feature
Embeddable intelligent analytics
Extensive data modeling capability
Interactive data exploration options
Data storytelling for decision making
Data interpretability (Explainability)
Data modelling across multiple sources
Industry-specific applicability
Standard SQL queries for data extraction
User and developer authentication
Comprehensive data visualization
Analytic chatbots and narratives
Enables actionable insights
Supports various industries & departments
Scalability for analytics management

Who is Sisense for?

Healthcare professionals
Retail Professionals
Manufacturing Professionals
Tech professionals
Financial services professionals
Pharma and life sciences professionals
Developers
End-users
Advanced users
Business professionals

How to use Sisense?

To use Sisense effectively, follow these comprehensive steps:

Understanding User Range: Sisense caters to a diverse user base, from developers to end-users, offering pro-code, low-code, and no-code capabilities.
Creating Analytical Experiences: Utilize Sisense tools to embed analytics in products, leveraging RESTful web API and SQL queries for data extraction.
Managing Analytics: Sisense supports various release processes through Git Integration, allowing seamless transition from development to release.
Accessing Data Sources: Sisense can access data from multiple sources, enhancing analytical capabilities and decision-making.
Conversational Analytics: Benefit from conversational analytics by engaging with chatbots, narratives, and additional AI features.
Taking Actionable Insights: Leverage actionable intelligence capabilities to prompt direct actions based on data-driven insights.
Utilizing Explainability Feature: Quickly interpret data outcomes and enhance decision-making by utilizing Sisense's explainability feature.
Data Modeling: Join multiple data sources to create relationships for extensive data modeling, facilitating comprehensive visualizations.
Enhancing User Experience: Sisense offers a single sign-on feature to streamline authentication, improving user experience.
Industry Applications: Sisense finds applications in various industries including tech and financial services, providing meaningful insights for data-driven decisions.
Customization with JS API & Add-ons: Customize visualizations and apply custom formatting using Sisense's JavaScript API and Add-ons.
Authentication: Single Sign-On authenticates users, confirming their credentials and simplifying access to Sisense functions.

By following these steps, users can effectively leverage Sisense's capabilities to enhance analytical experiences and make data-driven decisions with ease.

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

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

Pros

Cons

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

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

Sisense FAQs

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 a 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. Users can leverage RESTful web API and SQL queries to extract data from multiple sources for comprehensive analysis.

Can Sisense manage analytics through different release processes?: Yes, Sisense can manage analytics through various release processes using its Git Integration functionality that allows the management of analytics seamlessly through development to release stages.

What data sources can Sisense access?: Sisense can access data from multiple sources, allowing users to retrieve, analyze, and interpret data to strengthen 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, providing 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, enhancing user interaction with data, and 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, providing enhanced server functionalities and allowing 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, enabling in-depth data exploration and manipulation for 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, where 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, improving understanding of results to make informed, data-driven decisions.

How can Sisense join multiple data sources for extensive data modeling?: Sisense can join multiple data sources, creating relationships for extensive data modeling, enabling users to create comprehensive and insightful visualizations and analyses in a streamlined manner.

Does Sisense offer a single sign-on feature?: Yes, Sisense offers a single sign-on feature, streamlining the authentication process and improving the user experience.

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, pharma, and life sciences.

Does Sisense have applications in the tech and financial services industries?: Yes, Sisense has applications in both the tech and financial services industries, enabling businesses to gain insights from data and make data-driven decisions in these sectors.