Sisense Fusion

by Sisense  · Based in United States → — Analytics that make sense.
Family Medicine Hospital Medicine Internal Medicine
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Overview

Sisense Fusion is an AI-driven analytics cloud platform that provides customizable dashboards and data visualization tools for healthcare, helping teams extract actionable insights from clinical data to minimize costs and achieve operational success. It is designed to integrate, analyze, and visualize complex data from diverse sources, enabling organizations to build analytical applications that facilitate data exploration and insight generation. Sisense Fusion combines cloud, on-premises, and third-party data within a single platform, offering capabilities such as dashboard creation, embedded analytics, and customizable reporting to support data-driven decision-making.

The platform aims to simplify complex data and analysis through a high-performing elastic engine and offers a highly extensible platform with best-in-class APIs for limitless customization. Sisense Fusion also incorporates AI out-of-the-box to automate actionable intelligence, delivering insights where and when they are needed. It empowers users with self-service dashboards and AI-driven capabilities like “Simply Ask” for natural language queries and “Explanations” to identify key drivers for changes.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-driven analytics
  • Customizable dashboards and data visualization
  • Embedded analytics
  • Real-time data connectivity
  • Natural language queries (Simply Ask)
  • Automated anomaly detection
  • Data modeling (ElastiCube and Live models)
  • API-first platform with Compose SDK
  • Cloud-native architecture
  • Role-based access with SSO and RLS

Use Cases

  • Extracting actionable insights from clinical data
  • Minimizing costs and achieving operational success in healthcare
  • Building self-service dashboards for various users
  • Infusing analytics into customer and employee-facing applications
  • Advanced data analysis using Python and SQL with Notebooks
  • Optimizing inventory and improving customer retention using machine learning models

What Physicians Need to Know

Risk Stratification Models
Sisense Fusion utilizes AI to help identify risks, predict future claims, and set smarter premiums for insurers. It can also predict wait times and readmission risk, and suggest resource allocation for healthcare providers. The platform offers AI-driven capabilities like 'Explanations' to identify key drivers behind changes, aiding in understanding trends and anomalies.
Social Determinants Integration
While Sisense Fusion is designed to integrate diverse data sources and provide actionable insights, the direct integration of Social Determinants of Health (SDoH) is not explicitly detailed as a built-in feature. However, the platform's ability to connect data from anywhere (cloud, in-application, on-premise) and blend it into powerful data models suggests it could support the integration of SDoH data if available from other sources. The importance of SDoH in predictive healthcare analytics is widely recognized, and integrating such data can enhance model performance and fairness.
Disease Registry Support
Sisense Fusion's ability to connect and blend data from various sources, including Electronic Medical Records (EMR)/Electronic Health Records (EHR) data, implies it can support disease registry data. It helps clinicians make better decisions at the point of care by transforming EMR/EHR data into real-time recommendations.
Care Gap Identification
Sisense Fusion helps healthcare organizations identify areas of opportunity by leveraging financial and operational KPIs. Its analytics can provide real-time information to support decisions and deliver actionable insights, which can be used to improve patient care efforts and existing procedures. The platform's AI-driven insights can be infused into daily workflows, empowering users to take action at the point of insight to improve patient and business outcomes.
Readmission Prediction
Sisense Fusion uses AI to predict readmission risk, enabling institutions to suggest resource allocation and improve patient flow. Predictive analytics in healthcare, often powered by machine learning, analyzes historical patient data to forecast future health events, including readmissions, allowing for proactive interventions. Sisense Fusion includes built-in machine learning models like Random Forest and XGBoost, and allows for custom models, which can be applied for forecasting and predictive analytics.
Claims Data Analysis
Sisense Fusion is used by insurers to identify risks, predict future claims, and set smarter premiums by providing immediate insights directly within the applications staff use daily. Healthcare analytics, in general, emphasizes categories of data for collection and parsing, including costs and claims, which assists administrators in streamlining operations and increasing savings.
Quality Measure Reporting
Sisense Fusion empowers users with self-service dashboards and AI-driven capabilities to explore data and understand anomalies, which can support clinical and business decisions. This can be leveraged for tracking and reporting on quality measures, as it provides real-time insights and helps in understanding the effectiveness and success rates of treatments.
Cohort Builder
Sisense Fusion allows technical users to connect data from anywhere, blend, prep, and build powerful data models, and then easily query the model. This capability, combined with self-service dashboards and the ability to explore data, would facilitate the creation and analysis of specific patient cohorts for targeted insights.
Geographic Mapping
Sisense offers various mapping capabilities, including Area Maps and Scatter Maps, to visualize geographical data. Area Maps display data as polygons on a map, supporting countries or US states, and can color areas based on data values. Scatter Maps visualize geographical data as data points, supporting countries, cities, states/provinces, and latitude/longitude coordinates, with options to distinguish data by color and size. Sisense also has an ArcGIS Map Integration add-on for displaying configurable and filterable ArcGIS web maps, including features like Polygon Lasso for selecting multiple points and creating dashboard filters. Additionally, the 'Super Map' marketplace add-on provides prebuilt territorial polygons for various regions and allows for custom territories and multi-layer presentation. Custom map visualizations can also be embedded using GeoJSON files.
Physician Tip

Leverage Sisense Fusion's AI to predict patient wait times and readmission risks, allowing for proactive resource allocation and improved patient flow. Utilize the platform's ability to transform EMR/EHR data into real-time recommendations to make informed decisions at the point of care. Explore self-service dashboards and AI-driven 'Explanations' to quickly understand trends and the underlying factors impacting patient outcomes and operational efficiency. Consider embedding analytics directly into existing clinical workflows to receive actionable insights and prompts for next steps, such as reviewing care plans or scheduling interventions.

Sisense Fusion is an API-first platform designed for embedding and infusing analytics directly into applications and workflows. It can connect data from various sources, including cloud, in-application, and on-premise systems. The platform supports integration with external AI agents and allows for custom machine learning models using R or Python scripts, or third-party forecasting services via API. Sisense also integrates with platforms like Snowflake and offers specific add-ons like ArcGIS Map Integration.

Details

Category Population Health Analytics, Practice Analytics & BI
Pricing Paid, custom quote
  • Launch: $399/month (20GB data, 20K AI credits, 2 designer seats, 50 viewer seats); Grow: $1,299/month (80GB data, 50K AI credits, 5 designer seats, 100 viewer seats); Scale: custom pricing for enterprise and embedded buyers
  • Annual costs can range from $10,000 to over $4 million, with an average of $137,000 per year
  • Hidden fees may include charges for plugins, data connectors, version upgrades, and AI features (adding 20-30% to base costs)
DeploymentCloud, on-premises, hybrid
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated — unknown
Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

What the Web Says

Sisense Fusion is an AI-driven analytics platform that is highly customizable and excels in data integration and embedded analytics, particularly for customer-facing applications. It is used across various industries, including healthcare, and is praised for its ability to turn complex data into actionable insights. However, it often requires significant technical expertise for implementation and customization, and its pricing can be a concern for smaller teams.

Overall: Mixed

Strengths

  • High flexibility and customization, especially for embedded analytics.
  • Strong data integration and modeling capabilities from multiple sources.
  • Clear and easy-to-generate visualizations and dashboards.
  • Good performance with data builds and handling large datasets.
  • Excellent customer support.
  • AI-powered features like natural language queries, forecasting, and anomaly detection.

Limitations

  • Deployment and configuration can be complex and require significant technical effort.
  • Steep learning curve for advanced features and customization, often requiring scripting or coding knowledge.
  • Pricing structure lacks transparency and can be expensive, especially for smaller companies or extensive user bases.
  • Occasional performance issues with heavy data loads or large datasets in Elasticubes.
  • Limited out-of-the-box visualization options compared to competitors like Tableau.
  • Known delay in data refresh between platforms and Sisense.

Based on reviews from: AWS Marketplace: Sisense Fusion Analytics Platform | Ai-Powered Analytics Reviews, 2026 Sisense Review: Pros & Cons, User Feedback & More - Qrvey, The Ultimate Sisense Review for Data Analytics (2025) - Knowi, Sisense Review 2026: Pricing, Features, and Embedded Analytics Buyer Guide | SaaSrat, Sisense Fusion | Specs, reviews and EoL info - InvGate, Sisense Software Reviews, Demo & Pricing - 2026, Asking for Opinions on Sisense Fusion : r/BusinessIntelligence - Reddit, Sisense Ranked #1 in G2's Embedded BI & Momentum Grid, FusionCharts vs. Sisense Comparison 2026 - G2, Sisense Reviews 2026: Details, Pricing, & Features - G2, Sisense Reviews 2026. Verified Reviews, Pros & Cons - Capterra, Sisense Review: Pros, Cons, Features & Pricing - The Digital Project Manager, Sisense Reviews, Pros and Cons - 2026 Software Advice, Sisense Embedded Analytics Platform: 2026 Review - Luzmo, Sisense Software Pricing, Alternatives & More 2026 | Capterra, Sisense Embedded Analytics Platform: 2026 Review - Yurbi, How good is Sisense? : r/BusinessIntelligence - Reddit, Sisense - Legit or Bloat? : r/dataengineering - Reddit, Sisense? : r/BusinessIntelligence - Reddit, Does anyone here like using Sisense? : r/BusinessIntelligence - Reddit

Last updated: 2026-09-03

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Press & Coverage

Sisense
Sisense Advances AI-first Analytics with Agentic and Actionable Capabilities for Faster, Smarter Decisions
Sisense announced new AI-first analytics capabilities, including the Sisense Managed LLM and Model Context Protocol (MCP) server, to help users build, scale, and explore data faster within their existing applications and workflows. This aims to provide more flexible AI solutions for various organizational needs.
2026-01
Sisense
Sisense Unveils Sisense Intelligence: GenAI to Bridge the Gap Between Data and Action
Sisense introduced Sisense Intelligence, a comprehensive suite of AI-powered tools with an AI-first interface designed to simplify end-to-end analytics creation and make analytics more accessible and actionable for all users. The platform aims to embed analytics dynamically into workflows, powering decision-making across various functions.
2025-05
Sisense Blog
Automated Machine Learning with Sisense Fusion: A Practical Guide
This article discusses the integration of Automated Machine Learning using Sisense Fusion to solve business problems like optimizing inventory and improving customer retention. Sisense Fusion's native APIs simplify the process of selecting data models, training machine learning models, and making predictions without extensive technical expertise.
2024-10
Cuspera
Sisense Achieves ISO/IEC 42001:2023 Certification for the AI Management System Behind Sisense Intelligence
Sisense has achieved ISO/IEC 42001:2023 certification for its AI Management System, validating its responsible AI governance practices. This certification enhances trust in Sisense Intelligence, the company's AI-driven analytics platform, by affirming adherence to international standards for AI risk management and data lifecycle controls.
2026-05
Solutions Review
Sisense Announces AI-Driven Analytics Platform Called Sisense Fusion
Sisense announced the release of Sisense Fusion, a new AI-driven analytics platform designed to provide actionable intelligence and embed analytics into customer-facing applications. The platform aims to help organizations make improved decisions and allows users of all skill levels to analyze data and infuse customized experiences into workflows.
2021-02
Sisense
Sisense Unveils Sisense Fusion AI-Driven Analytics Platform
Sisense unveiled Sisense Fusion, an AI-Driven Analytics platform optimized to bring actionable intelligence to employees and customers by infusing analytics everywhere. It allows users to build customized analytic experiences inside their customer and employee-facing applications, going beyond traditional dashboards.
2021-02
KMWorld
Sisense Fusion provides analytic support for customers and employees
Sisense released Sisense Fusion, an AI-driven platform that provides analytic support for customers and employees by infusing actionable intelligence everywhere. The platform enables organizations to build customized analytic experiences within their applications and workflows.
2021-02
Sisense
The Definitive Guide to Embedded Analytics for Healthcare
This guide highlights how the Sisense Fusion platform enables healthcare organizations to take data and insights to drive instant decisions through embedding and infusing analytics. It addresses challenges in healthcare analytics, such as complex data and the need for customizability, to improve patient care and operational efficiency.
unknown

Videos

Product demos, reviews, and walkthroughs for Sisense Fusion.

View all on YouTube

Frequently Asked Questions

Sisense Fusion is an AI-driven analytics platform that integrates data from various sources to provide actionable insights. For a medical practice, it can help optimize patient care by identifying trends, improving operational efficiency, and personalizing treatment plans through data analysis.
Sisense Fusion employs robust security measures, including data encryption, access controls, and audit trails, to protect PHI. The platform is designed to support HIPAA compliance by enabling healthcare organizations to manage and analyze data securely while adhering to regulatory requirements.
While powerful, Sisense Fusion's insights are dependent on the quality and completeness of the input data. Potential limitations include the risk of biased AI if the underlying data is skewed, and the need for careful interpretation of results by medical professionals to avoid misdiagnosis or inappropriate treatment recommendations.
Sisense Fusion differentiates itself through its flexible architecture, allowing for integration with diverse data sources and customizability to specific healthcare needs. While other platforms may offer similar analytics, Sisense Fusion often emphasizes its AI capabilities for predictive analytics and its user-friendly interface for data exploration.
Sisense Fusion's pricing model typically involves subscriptions that can vary based on factors such as the number of users, data volume, and specific features or integrations required. It's common for them to offer different tiers or customized plans to accommodate practices of varying sizes and analytical needs.
Yes, Sisense Fusion is designed for extensive integration capabilities, allowing it to connect with various data sources, including most EHR systems and other clinical software. This enables a comprehensive view of patient data and operational metrics across your practice.
Sisense typically offers comprehensive technical support, including online resources, documentation, and direct customer service. They also provide training programs, which can range from introductory courses to advanced analytics workshops, to ensure users can effectively leverage the platform's features.

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Suggest an Edit → | Last Verified: 2026-09-03 | First Added: 2026-09-03
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