Embedded Analytics
Differentiate the product: Cortex-powered data products embedded into apps and client workflows, turning insight into a competitive edge.
Make analytics a feature customers pay for. We build embedded analytics on Snowflake: dashboards, reporting, and Cortex-powered answers delivered inside your applications, client portals, and partner interfaces, so insight lives where users already work and the product stands apart from competitors. The result is a set of customer-facing data products backed by a governed foundation your team keeps.
What we deliver
What we build into your product
Customer-facing analytics is data application development, not an internal reporting exercise. Everything we build is designed to live inside your product, carry your brand, and scale with your customer base:
Embedded dashboards and reports
, served straight from the governed data already in Snowflake, with no second copy of every table to sync, secure, and pay for.
Multi-tenant analytics architecture
designed for SaaS: tenant isolation, row-level security, and per-tenant cost visibility on Snowflake's consumption model, so the feature scales without billing surprises.
Streamlit in Snowflake data apps
: interactive applications that run where the data lives and inherit Snowflake's security and governance instead of re-implementing them.
Cortex-powered answers inside the product
: Cortex Analyst over governed Semantic Views for natural language questions, and Cortex Search for retrieval, so customers ask and act without leaving your app.
APIs and data services
where the front end is your own: governed data served to your components, so a bespoke interface does not mean a bespoke pipeline behind it.
Governance built in from the first tenant
: access, lineage, and policy managed through Horizon Catalog, with serving layers kept fresh by Dynamic Tables.
For the analytics your own teams use day to day, see AI Analytics & Agents; this page is about the analytics your customers see.
In practice
What it looks like in your stack
A closer look at what we stand up and how it lands where your team already works.
- Embedded dashboards and reports
- Multi-tenant analytics architecture
- Streamlit in Snowflake data apps
How we work
From roadmap item to revenue feature
A fixed cadence that puts working software in front of you fast and makes each decision on evidence, not a deck.
- 01
Discovery
A short, focused engagement that fixes scope and surfaces the real state of your data.
- 02
Use-case sprints
Working increments ship into your environment, one decision-ready slice at a time.
- 03
Proof before scale
Each slice proves out in production before anyone commits to the next.
- 04
A practice you keep
Your team builds alongside ours, so the capability stays after we step back.
An analytics feature earns its place the way any feature does: it ships, customers use it, and sales can point at it. Our engagement model is built for that bar. A discovery fixes scope against your product roadmap, use-case sprints put working screens in front of design partners early, and proof runs before scale, so the first slice of embedded analytics reaches real users in 8–16 weeks. A defined scope is priced to the outcome rather than the hours, so finishing sooner benefits both sides.
Under the feature sits the plumbing that decides whether it survives contact with customers. Where the pipelines feeding it need hardening, our data engineering and pipelines work comes first, so the feature inherits pipelines that hold up as tenants grow. Engagements we have delivered on Snowflake are written up in our case studies. And when customers start asking questions instead of reading charts, the same governed foundation powers AI agents in production.
What engagements deliver
Nearshore delivery
A product squad alongside yours, in your time zone
Monterrey, MX · Austin, TX · US time zones
Embedded analytics is never a hand-off project. It lives on your product roadmap and moves at your release cadence. Teams looking to add nearshore analytics capacity from Latin America usually discover they need something different from classic outsourcing: a squad that works inside their process, not at the end of a ticket queue.
That is how we staff it. A Viewnear product squad delivers from our Monterrey hub on US time zones, with leadership in Austin: your standups, your sprint reviews, your release trains. Product managers and designers get same-day answers instead of overnight handoffs, and the SnowPro-certified engineers building the feature are in the room when priorities shift. As a Snowflake Premier Partner and Snowflake CoCo Preferred Partner, we bring Snowflake and enterprise depth at every level, guided by leadership with 15+ years in data and serving clients across the Americas. The full model is on our nearshore delivery page.
FAQ
Embedded analytics on Snowflake: common questions
How do I add analytics to my SaaS product?
Start where the data already lives. If your product data lands in Snowflake, embedding analytics from that governed source avoids standing up a separate BI stack and maintaining a second copy of every table. The build order that works: model the data for multi-tenant access, pick the serving pattern (embedded dashboards, Streamlit in Snowflake apps, or APIs into your own front end), and ship one high-value view to design partners before rolling it out to every customer.
Is Streamlit in Snowflake good for production data apps?
Yes, when it is matched to the job. Streamlit in Snowflake inherits the account's security, governance, and access controls, which removes most of the operational overhead of running a separate app stack, and it excels at interactive data products. For deeply custom in-app experiences, we serve governed data through APIs into your own components instead. That architecture call gets made in discovery, per use case, before any build starts.
Can we outsource embedded analytics development to Latin America?
You can, and time zones decide whether it works. Analytics inside a product needs daily contact with your product and design teams, exactly where offshore handoffs strain. A nearshore squad in Mexico works US business hours, joins your sprints directly, and is measured on shipped outcomes rather than hours logged. Ours serves clients across the Americas.
Proof
See it running in production
Real, anonymized engagements with measured outcomes, from a Snowflake Premier Partner delivering nearshore across the Americas.
Explore the case studiesRather just ask someone?
Book 30 minutes with the person who would own the work. No deck, no obligation, and a straight answer on whether we are the right fit.
Where this leads
All 6 services