Embedded Analytics SDK vs iframes: Which is the Better Integration Option?
While both purpose-built embedded analytics SDKs and iframes allow for the integration of data analytics capabilities in an application, they come with some key differences. In this blog we discuss these two options to determine their pros and cons so that you can decide which is best for you and your end users.
White-Label Software and Analytics: Enhancing Your Brand
Fully branded white label dashboards offer custom personalization so that your customers can present a holistic service that is all branded to one company.
Reveal AI in 2026: From 2025 Embedded Analytics Wins to Your Next Product Advantage
In 2025, development teams moved embedded analytics from pilots to production. In this live session, we will walk through the lessons learned from these real-world deployments and how they directly shaped the Q1 2026 roadmap for Reveal, Reveal AI, Ignite UI, and App Builder.
Join us to explore common use cases, friction points, and the latest governance and performance features. The session includes a live, open-source App Builder demo, providing a reusable starting point for building modern, analytics-ready user interfaces.
Whether you are a developer, Product Manager, or CTO, you will leave with a practical plan and a clear view of what is shipping next.
What You’ll Learn
Clear view of 2025 customer patterns: Common embedded analytics use cases, what drove adoption, and where projects slowed.
Understanding of the Q1 2026 roadmap: Key Reveal and Reveal AI capabilities planned for Q1, including impacts on performance, governance, and user experience.
How the product family fits together: How to combine Reveal for embedded analytics, Reveal AI for natural language querying, and Ignite UI and App Builder for building analytics-ready front-end experiences.
Reusable asset: An open source App Builder demo showing a modern, analytics-ready page using Reveal.
Practical plan: Where to focus in early 2026 to start or expand with Reveal.
Who Should Attend
Developers responsible for embedding analytics and reporting into SaaS or internal applications.
Product Managers owning analytics-driven product experiences and product roadmaps.
CTOs and senior technical leaders responsible for architecture, governance, security, and platform decisions.
Agenda (45–60 min)
Welcome and introductions: Who the session is for and what to expect.
2025 Results, What Customers Shipped: Typical use cases, successful launch examples, and key lessons on adoption and release cycles.
2026 Q1 Product Roadmap: Current platform state, Q1 features for Reveal and Reveal AI, and how roadmap items support customer use cases.
Ignite UI, App Builder, and Reveal: Live, open source demo building a page and embedding Reveal.
Q&A and next steps: Open questions and access to the open source App Builder demo.
About the presenter
Jason Beres As the Chief Operating Officer at Infragistics, Jason and his team spearhead the customer-driven, innovative features and functionality throughout all Infragistics' UI, UX, Data Visualization and Business Intelligence products. Jason works directly with Infragistics customers around the globe to ensure that their needs are met through our products and roadmaps. Jason is a former Microsoft .NET MVP, and he is the author of several books on software development, covering topics like SQL Server, C#, Visual Basic, Rich Client and Web Development. Jason is a national and international conference speaker and keeps very active in the developer & UX community. You can follow Jason at @jasonberes on Twitter.
Reveal AI in 2026: From 2025 Embedded Analytics Wins to Your Next Product Advantage
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Accelerate Your Time to Market with White Label Analytics
May 01, 2025 | 11 AM ET | 3 PM UTC
Learn how to harness data insights with embedded intelligence for your team and customers, driving brand consistency and enhancing the user experience of your apps.