fbpx Skip to content


Give your users insights to their data without burdening your development team

Suppose you are a product manager responsible for an application that empowers users to make data-driven decisions. In that case, you know how challenging it can be to meet. You must deal with multiple data sources, complex analytics tools, manual data preparation, and more.

You need a solution that can automate and accelerate your analytics process while ensuring ease of use, robust integration capabilities, and powerful data visualizations. You need a solution that can handle any type of data scenario, from simple to complex, and provide users with real-time visibility into their data.

Embedded Analytics Capabilities Featured
Maurice Davidson Senior Developer
Youmanagelogo Resized

The difference is night and day. You couldn't pay me to go back before Logi Symphony.

Greg Gardner Manager of Reports Development
23 04 Cs Karmak Web Logo

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 it was time to stop making incremental updates and implement a new platform.

Rajesh Pandey Associate Director of Safety Data Management (SDM)
23 04 Cs Otsukapharmaceuticals Web Logo

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 in ways we never could before,” he says. “We now have all the tools to carry out our most critical activities with the confidence, clarity, and efficiency needed to move our business forward for years to come.

Roles & Industries

Making use of Embedded Analytics

An embedded analytics platform is used in various roles across the business function to provide:


Embedded analytics is more than just adding charts and graphs to your application. It’s a way of embedding data-driven features such as interactive dashboards, pixel-perfect reports, self-service data discovery, and more into your existing application. This way, you can provide your users with a seamless and engaging data experience that complements your core application functionality.

Unlike traditional business intelligence (BI) tools, embedded analytics platforms are designed to integrate easily with your application, offer high levels of customization and extensibility options, and enable self-service analysis for your users. With embedded analytics, you can turn your application into a data powerhouse that delivers extra value to your users.

Embedded Analytics Tools can integrate with a large variety of data sources.  As a rule of thumb, if the source data is open, a robust embedded analytic tool can connect to it. These data sources can include:

  • Relational databases example: MySQL, Oracle, SQL Server, PostgreSQL
  • Data warehouses example: Amazon Redshift, Google BigQuery, or Snowflake
  • CRM or Business Applications (API) example: Salesforce, Microsoft Dynamics, SAP</li
  • Cloud-based data sources example: Amazon RDS, Google Cloud SQL
  • Flat files example: Excel, CSV, DBF

The ultimate user experience of the embedded analytics you offer your end users depends on your vision for the offering. From its simplest form of incorporating a handful of data visualizations into your application to its most profound implementation of seamless integration and a truly comprehensive experience, the possibilities for embedded analytics are boundless.

To see a live example of an embedded analytics experience, check out our Wine Cellar Demo (Click SIGN IN) or our Logi Symphony Gallery to see samples of embeddable dashboards and reports.

The technical experience needed to have Embedded Analytics depends on your goals and the level of integration desired.

Users viewing, interacting, filtering, drilling down, or building their own self-service content need not be technical. An embedded analytics tool like Logi Symphony provides an easy-to-use experience directly within your applications.

Technical requirements are required for the DevOps teams to perform the initial integration; however, the actual embedding of the content does not require users to write code.

Embedded Analytics Platforms are industry agnostic, and the functionality provided applies to all general use cases. Industry-specific tools do exist but are typically a white-labeled version of a generic business intelligence and analytics tool with pre-built content included.