Sisense earns a strong expert grade for its powerful capabilities in data handling and embedded analytics.

Introduction

Sisense is a business intelligence and data analytics platform that helps companies analyze, visualize, and embed data from multiple sources into dashboards, reports, and applications. It is known for its ability to handle large, complex datasets and for its flexible deployment options, including cloud, on-premises, and hybrid setups.

Sisense is a comprehensive, AI-driven platform that empowers both data professionals and business users to make smarter, data-driven decisions.

AI-Powered

Embedded-First

Multi-Functional

Scalable

Developer-Friendly

Review

Sisense earns a strong expert grade for its powerful capabilities in data handling and embedded analytics. Its primary strength lies in its ability to consolidate data from diverse sources into a single, unified platform, making it a valuable tool for organizations with complex data needs.

While it excels in performance and scalability, its lack of transparent pricing and a steep learning curve for non-technical users can be a barrier to entry . Sisense is best suited for enterprises with dedicated technical teams that can leverage its advanced features to create custom, embedded analytics solutions.

Features

AI Agents

These digital teammates can transform complex data into actionable insights, democratizing data analysis and spotting patterns that humans might miss

Conversational Interfaces

Tools like the AI Assistant and AI Studio allow users to interact with their data naturally using dialogue-driven prompts

AI-Driven Insights

Features like "Analyze It," Explorations Paths, and Narratives automatically generate insights and explanations, making data more understandable for all users

Data Modeling and Connectivity

The platform can easily connect to hundreds of different data sources, consolidating them into a single, unified platform

Embedded Analytics

Sisense provides a robust Compose SDK and APIs for embedding AI-powered analytics and visualizations directly into any application

Flexible Deployment

Users can choose between cloud, on-premises, or hybrid deployments to meet their specific security and data governance requirements

Best Suited for

Software and Technology Companies

Ideal for embedding analytics into their own applications for end-users

Enterprises with Complex Data

Perfect for organizations that need to consolidate and analyze data from multiple, large, and diverse sources

Data Analysts & Engineers

A valuable tool for technical teams that can leverage its advanced data modeling and API-first approach

Branding & Marketing Teams

Good for creating instant fly on the wall images for the purpose of campaigns, social media, and advertising

Manufacturing and Healthcare

Excellent for industries that need to optimize operational performance and manage risk by analyzing complex data from various sources

Teams that Prioritize Customization

Sisense is a great choice for teams that require a high degree of control over the look and feel of their dashboards.

Strengths

Sisense’s ability to consolidate data from multiple sources into a single platform is a major strength.

It’s architecture is designed to handle large volumes of data with incredible speed.

The platform’s focus on embedded analytics and its developer-friendly tools make it a top choice for companies building data-driven products.

Sisense provides a wide range of AI features, from natural language query to predictive analytics, empowering users at every skill level.

Weakness

The quote-based pricing model can be a significant deterrent for many businesses.

Despite its AI features, Sisense can be complex and requires time and technical expertise to master, especially for smaller teams or new users.

Getting started with: step by step guide

The process for using Sisense is designed for both technical and non-technical users, but it can be more involved than other platforms.

Step 1: Consolidate Data

Connect to your data sources and use Sisense’s data modeling tools to unify the data into a single platform.

Step 2: Build Dashboards

Use the drag-and-drop interface to create interactive dashboards and visualizations.

Step 3: Explore with AI

Use the PolyAI assistant to ask questions about your data in natural language or let the AI automatically generate insights and summaries.

Step 4: Embed Analytics

For developers, use the Compose SDK to embed dashboards and other analytics directly into your products or applications.

Step 5: Share and Collaborate

Share dashboards with your team and set up alerts to notify them of critical changes or trends in the data.

Frequently Asked Questions

Q: How does Sisense handle data from multiple sources?

A:Sisense excels in consolidating data from various sources into a single platform, allowing users to have a single source of truth for their analysis. This integration is one of its primary strengths.

Q:Can Sisense be deployed on-premises or in the cloud?

A: Yes, Sisense offers flexible deployment options, including cloud, on-premises, and hybrid setups, catering to specific security and data governance requirements.

Q: How does Sisense support customization?

A: Sisense is developer-friendly and provides robust SDKs and APIs that allow users to create custom embedded analytics solutions tailored to their specific needs.

Pricing

Sisense does not have a transparent, public pricing model. Instead, it offers a quote-based system, with costs varying significantly based on the number of users, data sources, and desired features.

Entry-Level Contracts

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Small Teams

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Enterprise Deployments

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Alternatives

Microsoft Power BI

A strong competitor with seamless integration into the Microsoft ecosystem and a more affordable pricing model for many businesses

Domo

A cloud-native BI platform with a focus on real-time data, mobile-friendly access, and powerful collaboration tools

Looker

A cloud-based BI tool that focuses on data modeling through its LookML language, making it a great option for organizations with a strong data engineering team

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