Embedded Analytics
Embedded Analytics that run where your data lives
Self-service, custom analytics, and pixel-perfect reporting, embedded in your product and running on-premises, private cloud, or hybrid.
Based on980+reviews
"Logi Symphony makes it easier for us to validate data with less effort and make sure we’re compliant with all the regulations in every country…
Based on980+reviews
After launching with Logi Symphony, DataDive accounted for 76 percent of the total data product revenue, making it the most profitable data product MGMA has…
Based on980+reviews
Based on customer requests we would add new capabilities, like viewing historical data to complete trend analysis, but we didn’t make major facelifts. We knew…
What it does
Embedded Analytics with the control product teams need
Governed AI-ready analytics
Add governed, on-premises AI to embedded analytics through Agentic Intelligence, with deployment options that keep data in environments you control.
Self-service analytics
Let users build their own dashboards and reports inside your product, governed at the data layer so everyone lands on the same number.
Custom analytics
Build an exact analytics experience to spec with open APIs and SDKs, Python and R, write-back, and full control of every visual.
Pixel-perfect reporting
Produce paginated, print-ready invoices, statements, and regulatory documents server-side, exact to the layout and built to distribute at scale.
True multi-tenancy
Serve many client organizations from one deployment with full tenant isolation, white-labeling, and localization, and no infrastructure per client.
Patented performance
Data Sharpening and In-Memory Caching close the performance gap between on-premises and cloud, so large workloads stay fast under real concurrency.
Use cases
What you build with Embedded Analytics
Build custom analytics for your application
Build an exact, high-depth analytics experience with full control of visuals, layout, and logic. Open APIs and SDKs, Python and R, and write-back give builders room to go deep.
Embed pixel-perfect reporting in your application
Produce exact, paginated, print-ready documents for invoices, statements, and regulatory output. Generated server-side and built to burst to many recipients on a schedule.
Embed self-service analytics in your application
Put governed self-service inside your product so users build their own dashboards and reports. The metric stays governed at the data layer, so everyone arrives at the same number.
Embed pixel-perfect reporting in your application
Produce exact, paginated, print-ready documents for invoices, statements, and regulatory output. Generated server-side and built to burst to many recipients on a schedule.
Who it's for
Built for builders, not just analysts
Product, data, and compliance-driven teams build analytics on infrastructure they own and control.
Product teams
Software companies embedding analytics into customer-facing products get native integration, not iframes, plus self-service that keeps users in flow and lowers support load.
Internal data teams
Teams building analytics inside systems they own get a governed layer with the depth to match sophisticated requirements, built exactly to spec on controlled infrastructure.
Compliance-sensitive teams
Teams with strict governance, compliance, or data residency needs get exact, auditable documents and governed AI, all running inside environments they control.
Real-world results
Builders ship real outcomes on Embedded Analytics
From high-stakes reporting to embedded self-service, see what teams build when analytics is native to the product.
Otsuka cuts regulatory reporting from months to weeks
Otsuka Pharmaceuticals had to compile clinical-trial safety reports for regulators across more than 30 international markets, work done through manual, disparate processes that made deadlines hard to hold. With Simba Agentic Intelligence as an end-to-end reporting platform, integrated directly with its Oracle and Argus systems, Otsuka centralized and automated that reporting. Productivity rose by more than 300%, and reports that once took two months now take less than two weeks, with the accuracy regulators demand.
MGMA grows its DataDive product revenue 12x
MGMA had outsourced analytics for its DataDive product, which left it with a backlog of customer requests and fixes that took weeks and ran up costs. Embedding Simba Agentic Intelligence let MGMA's own team build and update DataDive rapidly, shipping annual releases two months earlier and turning around customer requests in days. It also opened a new multi-user licensing model, and DataDive grew 12x to become MGMA's most profitable data product, now 76% of its data product revenue.
Karmak embeds modern self-service for 1,500+ locations
Karmak's legacy reporting tool for the commercial transportation industry could not keep pace with customer demand through incremental bolt-on updates. Karmak embedded Self-Service from Simba Agentic Intelligence, taking it largely out of the box and integrating it with their existing permission structure so users kept their familiar logins. Customers across roles and skill levels, from dealership owners to technicians, now build their own dashboards and reports, and early feedback highlights how much easier the experience is.
Frequently asked questions
What Is Embedded Analytics?
Embedded analytics puts dashboards, reports, and visualizations directly inside the applications people already use, so they act on data in context instead of switching to a separate BI tool. It is delivered through standard protocols translate between your tools and your data, with connectivity delivered through Simba technology rather than third-party connectors.
What are the three Embedded Analytics capabilities?
Custom analytics for high-depth, build-to-spec experiences; self-service analytics for end-user exploration inside your application; and pixel-perfect reporting for exact, paginated documents. They share connectivity and governance, and can be used together, with AI across all three delivered through Simba Intelligence.
Can Embedded Analytics deliver AI analytics on-premises?
Yes, and it is the capability most competitors cannot match. Natural language queries and governed AI run on-premises, in private cloud, or hybrid; you bring your own model and connect to live data through a governed semantic layer. This requires Simba Intelligence, the sibling module.
Does it support true multi-tenancy?
Yes. White-labeling and localization operate per tenant within a single deployment, with full data isolation between tenants, so one on-premises instance serves many client organizations without separate infrastructure per client.
How is it different from other embedded analytics platforms?
It was purpose-built for embedding rather than retrofitted from an internal BI tool, it covers custom, self-service, and pixel-perfect reporting in one platform, and it runs with full capability wherever your data lives. That includes environments cloud-only tools cannot enter.
What does it connect to?
Out of the box, databases, warehouses, cloud services, APIs, and files. Connectivity is delivered through Simba technology, rather than third-party connectors, so source coverage comes with depth and reliability.
Do I need Simba Intelligence for AI features?
Simba Agentic Intelligence delivers self-service, custom analytics, and pixel-perfect reporting on its own. AI capabilities, including natural language and governed AI analytics, are delivered through Simba Intelligence, the sibling module, which applies governance at query time so AI outputs stay consistent and auditable.
Where can Embedded Analytics run?
Embedded Analytics runs on-premises, in private cloud, or hybrid, so deployment model, security policy, data residency, and upgrade schedule stay under your control.