Author

Martin Atanasov

Martin is a marketing content writer and copywriter with over 8 years of experience. He has over 1,500 published articles on marketing best practices, solutions, and products. Within the Infragistics team, Martin has been tasked with providing valuable insights on how our customers can utilize our products to their full potential.

Product analytics: Turning embedded insights into revenue featured image

Analytics as a Product: How to Turn Embedded Insights into Revenue 

SaaS leaders face pressure to differentiate, grow revenue, and keep customers engaged. Product analytics offers a direct path to do all three. By embedding insights into their products, companies can create premium feature tiers, sell analytics as add-ons, and increase retention through daily reliance. Customers now expect self-service, branded, and intelligent dashboards as part of the experience. Meeting these expectations requires SDK-first integration, white-labeling, scalable pricing, and trusted connections to data. Platforms like Reveal enable product teams to embed analytics inside the product, turning it from a cost center into a revenue engine.

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How Embedded Analytics reduce time to market

How Embedded Analytics Can Reduce Time to Market for SaaS 

In SaaS, speed to launch determines market success. Yet analytics often becomes the slowest part of the roadmap. Customers expect dashboard analytics at launch but developing that in-house can put a drain on resources which often leads to significant delays Embedded analytics solves this by integrating reporting directly into the product, cutting development cycles and improving adoption. Beyond launch, it supports retention, monetization, and advanced capabilities like AI. With SDK-first integration, self-service dashboards, white-label control, and predictable pricing, Reveal helps SaaS leaders reduce time to market and deliver analytics that scale with their product.

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Looker Pros, Cons, and Looker Alternatives 

Looker Pros, Cons, and Looker Alternatives 

Product leaders need analytics that scale with their app, not retrofitted BI tools. Looker offers strong visualizations and tight Google Cloud integration. But its use of LookML, iFrames, and user-based pricing makes it hard to embed in customer-facing products. 

As SaaS teams grow, these constraints slow development, increase costs, and limit flexibility. That’s why more teams are replacing Looker with Reveal—an embedded analytics platform built for speed, scale, and predictable pricing. 
This article breaks down where Looker fits, where it falls short, and why modern SaaS teams are moving on.

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embedded analytics in FinTech feature image

8 Steps to Embedded Analytics in FinTech Success 

FinTech products compete on trust, compliance, and speed. Customers expect insights inside the product, not in external BI portals. That’s where embedded analytics in FinTech becomes critical. By embedding secure, branded dashboards directly into applications, SaaS teams meet regulatory demands, scale across tenants, and build adoption without slowing product roadmaps.

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Best 5 White Label Analytics Platforms for 2025 featured image

5 Best White Label Analytics Platforms of 2025 

We compared five leading white label analytics platforms across branding, integration, performance, scalability, data connectivity, user capabilities, and advanced features. Each platform offers a different balance of customization, speed, deployment flexibility, and pricing. This guide helps SaaS companies and ISVs identify which solution best fits their product requirements, customer expectations, and long-term growth plans.

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security with embedded analytics featured image

Ensuring Security with Embedding AI-Powered Analytics

Security with embedded analytics gets more complex when AI enters the picture. This article breaks down the key risks, offers best practices to prevent data leaks, and explains how Reveal gives SaaS teams full control over AI endpoints, data flow, and governance. If you’re embedding AI-powered analytics into your product, Reveal helps you do it securely by design.

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Customer retention with embedded analytics featured image

Boost Customer Retention with Embedded Analytics in 2025  

Churn happens when users lose sight of value. Customer retention with embedded analytics means showing outcomes where they matter—inside your product. This guide breaks down how SaaS teams use real-time dashboards, role-based insights, and self-service tools to keep users engaged and reduce churn. See how platforms like Reveal make retention scalable, measurable, and built into the experience.

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The Missing Piece of Enterprise BI Feature Image

The Missing Piece in Enterprise BI: Intuitive, Embedded, and Self-Service Analytics 

Most enterprise BI platforms were built for internal reporting, not for modern SaaS products utilizing customer-facing analytics. They sit outside your application, fragment your UX, and delay decision-making. Modern enterprise software requires analytics that are intuitive, embedded, and self-service by design. Reveal was built to deliver exactly that—with no iFrames, no handoffs, and no compromises.

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What is Self-Service BI Feature Image

What is Self-Service BI: Benefits, Use Tools, Considerations 

Self-service BI empowers users to explore and act on data without relying on technical teams or submitting support tickets. It gives business users the tools they need to generate insights, build reports, and make decisions in real time, on their own.

For SaaS products and internal platforms, embedding self-service BI directly into your application extends that value by delivering a seamless and native analytics experience that is fast, scalable, and fully customizable.

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