Stop Building a BI Tool.
Start Shipping a World-Class Analytics Feature.
Your customers are demanding more than just data exports. They want actionable, embedded insights inside your application. But what starts as "adding a few charts" quickly spirals into a full-blown, resource-draining engineering project.
We partner with SaaS companies to build secure, scalable, and high-impact customer-facing analytics. We provide the architecture, pre-built models, and implementation expertise to help you deliver a market-leading analytics experience, faster.
Building In-App Analytics is Harder Than It Looks.
SaaS teams often underestimate the complexity of delivering embedded analytics. Whether you're building a specific feature or implementing a framework, you face a common set of pitfalls that waste time, burn budget, and damage customer trust.
Challenge 1: Adding a Complex Analytical Feature (e.g., Marketing Attribution)
You think you're just adding a dashboard, but you're actually building a complex data modeling engine from scratch. Without deep expertise, this often leads to:
- Brittle, oversimplified models that fail to meet customer expectations.
- Noisy, untrustworthy results due to a poor data foundation.
- Months of engineering "plumbing" instead of delivering value.
- Features that don't scale and break under increased data volume.
Challenge 2: Implementing a Framework (e.g., Cube.js)
You've chosen a powerful framework like Cube.js, but you're discovering that implementation is fraught with risk. DIY attempts frequently result in:
- Catastrophic security holes from poorly handled multi-tenancy.
- Slow, unreliable dashboards that frustrate customers due to a lack of performance tuning.
- Unnecessary reinvention of caching, access control, and BI layers.
- A fragile, misaligned architecture that creates a disconnect between your data and product teams.
In both scenarios, the outcome is the same: a high-cost project that fails to deliver strategic value and erodes customer trust.
Deliver High-Impact Analytics, Without the Headaches.
We bring both the strategic product thinking and the deep technical expertise to turn embedded analytics into a scalable, secure and valuable feature—not a liability. Our approach ensures you get it right.
Secure, Scalable And Seamlessly Integrated By Design
Embedded Analytics Is Only As Good As Its Implementation
Go From Roadmap To Revenue Fast With Pre-Built Analytics
Secure, Scalable And Seamlessly Integrated By Design
Architect a Secure, Multi-Tenant Data Model from Day One.
The biggest risk in embedded analytics is data leakage. We design and implement a robust, production-grade security model using best practices for authentication and row-level security, ensuring one customer's data is never exposed to another.
Design for Performance and Scale :
Don't let slow dashboards frustrate your customers. We design and tune high-performance caching and pre-aggregation within Cube, Embeddable and your framework that delivers insights in seconds, not minutes. By optimising how the framework queries your data warehouse, we prevent bottlenecks and ensure a fast, reliable user experience.
Integrate Seamlessly with Your Existing development Workflows.
Your analytics feature shouldn't be another data silo. We ensure your embedded analytics framework integrates directly with your existing dbt models and CI/CD pipelines, creating a unified development workflow with automated testing and validation and preventing fragile deployments.
From Vision to Reality: How We Helped Insighta Build a Multi-Tenant Analytics Platform
Insighta needed to build a scalable, multi-tenant marketing attribution application for their diverse client base. They knew that achieving their ambitious goals required external expertise in data engineering and analytics enablement.
"With a background in building multi-tenant solutions for clients in the marketing technology industry, Rittman Analytics were the ideal partner to help Insighta make our product vision a reality."
— Matthiew Liu, Co-Founder, Insighta
Our Partnership Delivered:
- A Scalable Multi-Tenancy Architecture using dbt and Dagster.
- Customized Conforming Data Layers to integrate disparate data sources like Shopify and NetSuite.
- Predictive Analytics & ML Workflows to deliver actionable insights.
- Rapid Deployment and Automation to accelerate the onboarding of new clients.
Ready to Build an Analytics Experience Your Customers Will Love?
Avoid the costly pitfalls of DIY development. Let's have a strategic conversation about how our expertise can help you deliver a secure, scalable, and high-impact analytics feature that drives adoption and proves value.