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7 Best Analytics Modules for Products in 2025: Stop Losing Users to Bad Reporting

Data Visualization
Jul 29, 2025
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7 Best Analytics Modules for Products in 2025: Stop Losing Users to Bad Reporting

Do you know that the analytics module is often the silent churn engine in SaaS?

For most SaaS and digital product teams, the analytics module is the part of the product roadmap that gets squeezed between must-have features and endless bug fixes. Everyone says analytics matters, until it’s time to actually use it. At that point, customers log in, see a flat dashboard with yesterday’s data, and immediately click “Export.”

If you look at your product analytics, you’ll probably see the same story: the analytics module has the lowest engagement, the most support tickets, and almost zero organic praise.

The irony? Product and data teams pour months into building analytics that “look great on a slide.” But once released, those dashboards become the number one source of frustration for users. Slow load times, canned metrics, no ability to dig deeper, and zero connection to actual decisions. This isn’t just a missed opportunity; it’s the single biggest hidden reason for churn inside most B2B products.

Recent research from Luzmo drives the point home in the 2025 dashboard statistics report. What’s damning is that 72% of users regularly export data to Excel because in-app analytics modules aren’t delivering what’s needed. That means your “analytics tab” is often the first exit route—not the engagement magnet it should be.

Why most analytics modules fail, and what users expect now

It’s not just about “adding charts.” What users actually want from an analytics module in 2025 is miles beyond the drag-and-drop dashboards of the last decade.

  • True interactivity. Canned reports and read-only dashboards have become a running joke. Users need to slice, filter, drill, and customize every view on their own—no developer in the loop.
  • Personalization. Sales ops, customer success, and finance all need dashboards that fit their priorities. If everyone gets the same metrics, the only thing they’ll do is export and make their own.
  • Action-oriented workflows. Insights that don’t connect to real decisions or trigger actions are just noise. The best analytics modules let users set alerts, annotate, comment, and even kick off workflows directly from data.
  • Native experience. Anything that looks “bolted on” kills trust. Users want analytics that’s branded, fast, and woven seamlessly into the product.
  • Real-time answers. Today’s users expect data that refreshes instantly, whether they’re on desktop or mobile.
  • Privacy and security. Especially for B2B or multi-tenant apps, robust permissions and data walls are non-negotiable.

Most SaaS churn surveys will tell you: the analytics module is the single most powerful lever for retention or attrition. Nail it, and you become indispensable. Botch it, and users quietly slip away.

What great analytics modules deliver

Think of an analytics module as your product’s secret weapon. When done right, it becomes the “wow” moment in every onboarding, QBR, and renewal call. Here’s what sets the best apart:

  • Build and saved personal dashboards: Every user can create and share their own views, not just consume what’s given.
  • Interactive, on-demand answers: Filters, drill-downs, and instant calculations are always a click away.
  • Embedded in every workflow: Reporting isn’t a tab to visit once a month; it’s a living part of the product, accessible at every step.
  • Actionable from every chart: Click a data point, and you can annotate, share, trigger an email, or set a follow-up. Data becomes a launchpad for real work.
  • Grows with your business: As your client base and data volumes grow, the module adapts—no need for re-platforming.
  • Beautiful, fast, and secure: No lag, no confusing controls, no ugly vendor popups.

The 7 best analytics modules for 2025 (real, fresh, and relevant)

Below, we review the seven leading analytics modules you can embed in your SaaS or product environment, each with a unique strength, not just a recycled list.

1. Luzmo: Embedded analytics that actually feels integrated

Luzmo for building in-app analytics modules

If you’ve ever heard a customer say, “Your dashboards look like a different app,” Luzmo is the fix. Luzmo was designed to make analytics modules feel like a core part of your product, never a bolt-on.

What makes Luzmo stand out:

  • Interactivity: Users can drag, drop, filter, and personalize dashboards using the embedded dashboard editor. No more dev tickets for every report tweak.
  • AI-powered answers: Luzmo IQ lets users ask questions in plain English and get real insights instantly. This is analytics that adapts, not just reports.
  • Workflow triggers: With Luzmo Flex, analytics isn’t just a place to look—it’s a launchpad for taking action. Trigger onboarding flows, set alerts, or integrate directly with other tools.
  • Easy integration: Luzmo Connect means you can pull in data from any source—cloud warehouse, REST API, or spreadsheet—without custom engineering.
  • Scalability and security: Luzmo is built for multi-tenant SaaS, with true white label support and granular permissions.
  • Branding: Everything is customizable—logos, colors, layout—so your analytics module feels truly native.

Who Luzmo isn’t for:

If you’re a legacy enterprise looking for static, internal-only BI, or a solo operator wanting a simple Excel exporter, Luzmo is probably overkill. But if you want analytics modules that increase engagement, retention, and revenue for your software product, it’s in a class of its own.

2. Qlik: Exploratory analytics at scale

Qlik for in-app analytics modules

Qlik is best known for its associative engine, which makes it possible to filter, drill, and cross-reference data in a way that feels fluid and organic. For SaaS teams that need to empower users with deep, exploratory analytics—think complex operations, logistics, or finance—Qlik’s analytics module is a contender.

Where Qlik shines:

  • Deep data exploration: users can build their own dashboards and reports from any angle.
  • Enterprise-ready with strong compliance, security, and multi-tenant controls.
  • Integration with complex data sources, good for regulated industries.

Where it struggles:

  • UI and setup can be intimidating for non-analysts.
  • Customizing for a fully branded, native experience requires technical investment.

Best for:

Enterprise SaaS, data-driven verticals, or any product where true data exploration is a selling point.

3. Sisense: Embedded, flexible, and developer-driven

Sisense for building analytics modules

Sisense is a developer’s playground: its analytics modules (called “infusion apps”) can be embedded, white labeled, and adapted at nearly any touchpoint inside your app.

Strengths:

  • Widget-based dashboards that can live anywhere in your UI.
  • APIs for granular integration: trigger actions, launch workflows, or build custom extensions.
  • Scalability and security for ISVs, OEMs, and platforms serving multiple brands.

Limitations:

  • Initial setup and maintenance require real engineering investment.
  • The learning curve can be steep for teams without in-house analytics resources.

Best for:

ISVs, SaaS platforms, or digital products wanting total control over their analytics modules, especially if you want to embed widgets, not just dashboards.

4. Metabase: Open source, friendly, and fast to deploy

Metabase for building analytics modules

For startups and fast-moving SaaS teams, Metabase is a go-to for rapid deployment. The analytics module feels light, approachable, and offers good value—especially for smaller teams or internal tools.

Where Metabase shines:

  • Easy to embed with widgets or iFrames, no heavy integrations needed.
  • Non-technical users can build, share, and personalize dashboards using its “question builder.”
  • Great community, open source foundation, and fast iteration.

Drawbacks:

  • Security, permissions, and multi-tenancy are basic, which is fine for startups, less so for enterprise SaaS.
  • Branding and workflow integration are limited.
  • Scaling can become an issue as data volumes or requirements grow.

Best for:

Startups, SMBs, or any team needing to launch analytics modules quickly and iterate without vendor lock-in. For enterprise SaaS businesses looking for scalability, there are better alternatives to Metabase.

5. Power BI Embedded: Microsoft-native and compliance focused

Analytics module built in Power BI

Power BI Embedded is a natural choice for teams that already live in the Microsoft world. The analytics module provides drag-and-drop reporting, deep integration with Azure, and all the compliance boxes checked for larger orgs.

Strengths:

  • Users get interactive dashboards, ad hoc reporting, and data visualization.
  • Row-level security and audit trails for enterprise-grade deployments.
  • Power BI has built-in support for Azure and Office 365 authentication.

Weaknesses:

  • Embedding can feel “clunky," the UI isn’t as flexible or modern as newer platforms.
  • Branding options are basic; modules may not fully match your product.
  • Usage-based pricing can be complex as you scale.

Best for:

Enterprise or mid-market SaaS products already using Microsoft, especially where compliance and security are top priorities.

6. GoodData: Composable, API-first analytics modules

Building analytics modules with GoodData

GoodData is a heavyweight in multi-tenant, programmable analytics modules. Its API-first approach is perfect for SaaS vendors serving lots of customers, each with their own dashboards, permissions, and branding.

What’s special:

  • Build and scale analytics modules for every client or business unit.
  • Advanced governance, row-level security, and compliance (GDPR, SOC 2, more).
  • Highly customizable via APIs—though expect real engineering work.

Challenges:

  • More complex setup than open-source or plug-and-play options.
  • Best for teams with strong in-house dev or data engineering talent.

Best for:

ISVs, regulated industries, or product teams needing deep customization and rock-solid security.

7. ThoughtSpot: Search-driven analytics for everyone

ThoughtSpot for analytics modules

ThoughtSpot flips the analytics module script: instead of clicking through menus, users just type questions in plain language and get instant charts, KPIs, and insights. For non-technical users, this feels empowering—analytics on demand, no manual required.

Strengths:

  • Search-based interface democratizes data access.
  • Embeddable analytics modules mean your users get answers where they work.
  • Easy for business users to adopt and personalize dashboards.

Limitations:

  • Workflow integration, white-labeling, and developer customization lag behind API-driven competitors.
  • Scaling can get costly; advanced features require enterprise licenses.

Best for:

SaaS teams serving non-technical audiences, or any product where “just ask and get an answer” is a selling point.

How to pick the right analytics module for your SaaS or product team

Don’t just chase features or a slick demo. Instead, focus on these questions:

  1. Will users actually use it? If they can’t personalize, explore, and build their own dashboards, you’ll end up right back at “export to Excel.”
  2. How seamless is the experience? Does the module feel like part of your product, or an awkward third-party frame? Native UI, deep branding, and workflow triggers are essential.
  3. How fast can you launch and adapt? Can you go from idea to live module in weeks, not months? Does it scale as you add users, data, or clients?
  4. Is it built for your audience? Some modules are great for analysts, others for sales or customer success. Match the experience to your real users.
  5. What’s the total cost to own and scale? Pricing, support, and ongoing dev resources vary wildly. Transparent pricing—like Luzmo’s—makes a difference.
  6. How secure is it? For multi-tenant or regulated industries, permissioning, audit logs, and data security are make-or-break.

Want to compare the best analytics modules side by side? Download the analytics module comparison matrix for a clear, buyer-focused breakdown.

Conclusion: Make analytics your product’s competitive advantage, not your churn risk

Too many products settle for analytics modules that are “good enough” on paper, but never deliver for real users. In 2025, the winners are teams who treat analytics as a product, not a feature. If your analytics module gives every user fast, actionable, and personalized answers, you become essential – not just another tool.

Luzmo leads for embedded, interactive analytics modules—thanks to rapid integration, robust connectivity, and product-driven design. But every platform on this list can help you move beyond “dead dashboards”—if you match the right module to your audience, workflow, and growth plan.

Ready to see how a modern analytics module changes user engagement for good? Explore Luzmo.

Kinga Edwards

Kinga Edwards

Content Writer

Breathing SEO & content, with 12 years of experience working with SaaS/IT companies all over the world. She thinks insights are everywhere!

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