Sisense product roundup: Collaboration and modernization in Q1 2025

In this post, we’ll cover new features like the centralized connection manager and dashboard co-authoring, performance improvements with the Analytical Engine, modernization milestones, and helpful resources to support your team’s analytics journey.

Two new ways to simplify collaboration and scale smarter

This quarter, we’ve launched two powerful features to help teams move faster and work better together, whether you’re connecting data or building dashboards.

Centralized connection manager: Simplify and secure your data access

Released for general availability, the centralized connection manager provides a single place to create, manage, and securely share connection credentials across your data models. This centralized hub streamlines data management, enhances security, and accelerates time-to-action through collaborative management, eliminating scattered setup and siloed access.

By unifying connection management, teams reduce manual effort, accelerate model creation, and maintain consistency as they scale.

Dashboard co-authoring: Build together with real-time collaboration

Also released to general availability, dashboard co-authoring lets multiple users or groups edit and re-publish a shared copy of a dashboard, unlocking a whole new level of collaboration. Whether you’re iterating with stakeholders or handing off work between teams, you can now collaborate in real time without worrying about version conflicts.

With built-in Git integration for version control, you get full visibility into changes, so you can collaborate confidently, roll back if needed, and ship faster.

Smarter queries, stronger models: The Analytical Engine is now the default

As part of our ongoing platform modernization, the Sisense Analytical Engine is now the default translator for all new data models, bringing enhanced accuracy, transparency, and control to the way queries are generated.

The Analytical Engine offers a more structured approach to data modeling, enabling optimized queries and improved performance, especially when working with live models or Build-to-Destination. By replacing heuristic-based logic with dimensional modeling best practices, the engine ensures more predictable results and paves the way for long-awaited capabilities like calculated dimensions and left joins.

Starting in the April L2025.2 release:

• All new models automatically use the Analytical Engine
• Existing models continue to operate as-is under your current translator configuration
• A fallback option remains available per model, allowing teams to maintain flexibility as they transition

This update is part of a broader shift to simplify the translation layer and support future innovation across a wider range of databases and SQL dialects.

This shift gives teams greater consistency, performance, and future-ready capabilities when modeling and querying data in Sisense.

Modernizing the Sisense platform: What is changing and why it matters

This year, we began a major modernization of the Sisense platform—transforming it into a next-gen Analytics Platform as a Service (AnPaaS). The goal is simple: help developers and product teams build smarter, faster, and more scalable analytics experiences, while delivering seamless in-context insights to end users.

This isn’t just about rolling out new features. It’s about future-proofing your data strategy, modernizing everything from how your data is modeled and queried to how it’s visualized and embedded. Here are some of the most impactful updates now in motion:

At the data layer:

• Introducing ElastiCube Cloud, our new cloud-native alternative to MonetDB.
• Launching a more powerful analytical engine to improve query performance and reliability.
• Rolling out enhanced data modeling with directional relationships based on dimensional modeling principles.

At the analytical layer:

• A refreshed UX with modern styling and more customization options for embedded experiences.
• Visual components and plugins are moving toward Compose SDK, offering more flexibility and a smoother dev experience.
• Encouraging customers to embed with Compose SDK for richer, more interactive integrations (though iframe embedding is still supported).

At the platform level:

• A new self-service managed cloud with multi-tenant support for better scalability and cost efficiency.
• Beginning to offer consumption-based components so you can align platform costs more closely with product growth.

As this modernization continues, every update will be introduced with clear guidance and support. We’re committed to gradual transitions, with resources to help you adopt new components at your own pace.

On-demand webinars for product and engineering teams ready to modernize their analytics stack

1. Embedded BI moves from trend to strategic imperative

This webinar covers why aligning your product strategy with the right analytics partner is more critical than ever. As the demand for smarter, more intuitive software experiences grows, embedded BI is no longer just a product enhancement; it’s a competitive necessity. In our recent on-demand webinar, Embedded BI: Aligning Strategy and Choosing the Right Partner, we explored how embedded analytics is driving next-gen product innovation and what to consider when choosing a solution that fits your vision.

With insights from the Dresner Advisory Services Embedded BI Market Study, this session helps product and engineering teams move beyond dashboarding and start delivering truly data-rich user experiences.

Key takeaways from the session:

• Define your embedded analytics objectives. From user self-service to performance optimization, it’s critical to align embedded analytics initiatives with both internal goals and external expectations.
• Implement with impact. Discover proven practices for integrating analytics that empowers users and accelerates decision-making, without adding complexity to your product or dev cycles.
• Choose a partner, not just a platform. Learn the essential criteria to look for in an embedded BI vendor, from flexibility and scalability to roadmap alignment and integration support.

Watch the session on-demand to get strategic guidance that helps your team embed smarter, scale faster, and deliver value where it matters most, inside your product.

2. From dashboards to decisions: How AI is transforming embedded analytics

Watch on-demand: Transform your analytics with Sisense

AI is rapidly changing what teams expect from their analytics. Demand is moving beyond static dashboards to enable real-time, actionable insights that actually drive decisions. In Transform your analytics with Sisense, we break down how embedded AI is reshaping product experiences for creators and users.

If you’re building applications that need to deliver intuitive, in-context insights, or if you’re tired of bottlenecks slowing down your analytics roadmap, this session is for you.

Here are the key things you’ll walk away knowing:

• Faster time to value. Learn how Sisense AI features helps teams accelerate dashboard creation and customization, reducing the burden on dev and data teams.
• Smarter user experiences. Explore how features like natural language queries, AI-generated visualizations, and embedded insights make analytics more accessible to everyone.
• A modern, scalable stack. See how you can cut through complexity and reduce reliance on technical gatekeepers while keeping full control over the analytics experience.

Watch it now to see how AI-driven analytics can become a core part of your product strategy—and a key differentiator for your users.

Customer success spotlight: Measuremen slashes reporting time with Sisense

Workplace analytics leader Measuremen transformed its client reporting from a two-week manual process to same-day delivery using Sisense. By moving from static PDFs to interactive dashboards and automating everything from data validation to custom visualizations, the team drastically improved efficiency, accuracy, and customer experience.

With Sisense, they cut manual reporting time from 16 hours to just 30 minutes per project, reduced staffing needs, and empowered clients with real-time, self-service insights.

Check out the full customer story to see how Measuremen modernized its analytics and what’s next on its AI-powered roadmap.

Looking ahead: AI, elevated

Everything we launched in Q1 is about helping teams move faster—from streamlined data access to collaborative dashboard building. But that’s just the beginning. In a few short weeks, we’ll unveil new AI-powered features designed to transform how your users interact with data. Stay tuned—your workflows are about to get a lot smarter.

We want to hear from you

Your feedback is crucial in shaping future releases, so be sure to voice your ideas and suggestions in the Product Feedback Forum. Stay tuned for more updates as we continue to push the boundaries of innovation together.

Curious about what you’ve seen? Check out the free trial

If you’re still exploring embedded analytics solutions and want to try Sisense for yourself, we’ve made it easier than ever. Our new free trial experience lets you get hands-on with the platform—no strings attached. Or, to learn more about analytics solutions that will keep you competitive, schedule a demo.