Embedded analytics brings data-driven insights directly into your customers’ daily workflows, applications, and portals. By seamlessly integrating analytics into your products, you empower users to make informed decisions and enhance your product.

This not only elevates the user experience but also opens up new avenues for customer and partner engagement while reducing the operational effort involved in data reporting.

A Simple Embedded Analytics Platform for any Dashboards

Datateer makes embedding analytics easy to embed in your product or customer portal. Our embedded analytics platform ensures your data quality is high enough to expose to your customers. Once embedded, these analytics blend seamlessly into the existing user experience, looking and feeling like a native part of your platform.

This ease and seamless integration enable you to extend the reach of your data insights across all touchpoints, enhancing decision-making and boosting user engagement with your embedded dashboards.

Related article: What is Embedded Analytics?

Expand Customer & Partner Offerings With Data Products

By incorporating embedded analytics into your data products, you can significantly enrich what you offer to customers and partners. You could create specialized data-driven embedded analytics features that serve their specific needs. This adds value to your product, making it more appealing and functional. Your business partners also benefit from the enriched data insights, which can inform their decision-making processes.

Embedded analytics can elevate your product and broaden your market reach, satisfying both your customers and business partnerships.

Reduce Effort with a Platform that Offers Embedded External Reports

Embedding analytics into your product means you can automatically generate and share embedded reports with your customers. Gone are the days of manually creating each report, saving you a lot of time and effort.

Embedded reports can be tailored to show the exact data your customers care about, making it easier for them to understand their own data management products. With this feature, your customers have real-time access to their data whenever they need it.

By reducing the manual work involved in reporting, you free up time to focus on improving your embedded analytics software and growing your business.

Automate Analytics Reporting with White-Labeled Embedded Analytics Software

With white-label analytics, your embedded analytics can seamlessly match the look and feel of your own product. This creates a smooth, integrated experience for your customers, making it appear as if the analytics were developed in-house.

The real win comes with automation. Your customers can pull up data analytics products whenever they want, without having to wait for manual updates. This self-service feature boosts customer satisfaction, as they can access vital information on-demand, directly within your embedded analytics tool.

You are not just providing analytics; you are offering a fully integrated, self-service experience that complements your embedded analytics software perfectly.

Improve Business Relationships with Analytics Transparency

Integrating transparent analytics into your product doesn't just offer data; it offers a competitive edge that sets you apart from rivals.

Transparency fosters trust and turns what might have been a one-time transaction into an ongoing strategic relationship. Your customers will come to rely on the unique insights they can only get from your embedded analytics platforms. This makes your product more "sticky" — meaning it becomes so embedded in your customers' daily processes that the thought of switching to a competitor becomes daunting.

By making your platform indispensable for informed decision-making, you cement longer-term relationships, increasing customer loyalty and retention.


"We created 100 different metrics very relevant to our customers. We have seen significant growth in our key accounts."

Paul Harty - Chief Strategy Officer @ Motion Recruitment

"We were data rich but information poor. When you are moving at the speed we are, you can't just throw people at that problem. Datateer gives us a full picture and saves us a ton of time.”

Kelsey Waters - Senior Director of Operations @ Equinix

"Datateer understood our data and consolidated all that information in a way that dramatically improved the speed and quality of client conversations."

Devin Mulhern - Managing Director @ Denver South EDP

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FAQ (Frequently Asked Questions)

What is embedded analytics?

The goal here is really customer-facing analytics and insights. The term “embedding” came from the most common technique to deliver customer-facing analytics.

Building live dashboards and data visualizations is most easily done in specialized tools. These tools provide the capability for embedding dashboards and visualizations into other applications–such as your product. This is important because your customers are already using your product. By putting these dashboards and visualizations directly into your product, your users can see everything self-service and real-time.

Embedding is accomplished by the capabilities of the business intelligence tool or product that you are using. Typically this is done by using iframes and secure links.

What are data products?

A data product describes something that delivers data analytics or insights to an end user.

For example, a dashboard that answers specific questions is a data product.

Data is a big world, and the phrase “data product” helps distinguish something intended to be customer-facing from all other technologies or data usages that might be behind the scenes.

How do embedded analytics work?

Many business intelligence products and data visualization tools make visualizing data easy to do. The problem with this is these data visualizations are disconnected from your end customers.

Many of these tools provide a capability to securely expose data visualizations and dashboards to your end users within your own application.

This can be seamless and is typically accomplished by secure URLs and iframes. It is a technical exercise that keeps things secure and seamless for your end users.

What are the limitations of embedded analytics?

Mobile and responsive design can be a limitation of embedded analytics. This inherently depends on the capabilities of the business intelligence product or data visualization tool you are using for the embedded analytics.

Perfect matching of aesthetics like colors, fonts, and style is not always guaranteed. This also depends on the capabilities of the tool you use to develop the data visualizations.

Adding another tool to your application stack creates an additional component to ensure is up and running.

Because of these limitations, some of our clients decide to bypass embedding altogether and instead write their own visualizations from scratch. Although technically possible, we have seen this to be a 10x-20x increase in effort and complexity compared to the simplicity of embedding.

How does embedded analytics improve the customer experience?

Just as you want insights and visibility into your own business, your customers want visibility and insights from the services you provide to them.

Providing analytics to your customers differentiates your product, which makes a big difference in a competitive market.

Customer-facing insights can change your interactions from transactional to strategic, as you can answer questions beyond the initial transaction.

Embedded analytics can easily show usage and ROI to your buyers, proving the value of your service and giving your customers comfort and confirmation of their purchase.

How secure is embedded analytics?

Embedding is typically implemented using HTML iframes. Security concerns around iframes are based on a long history in the web. Specific malicious uses of iframes–not well understood by people who are not security experts–have led to a general unease about using iframes.

For example, clickjacking is a common concern but is only possible when the website owner has malicious intent. 

With regard to embedded analytics, most (maybe all) business intelligence product vendors follow best practices:

  1. Use only trusted sources (your business intelligence vendor is a trusted source)
  2. Use HTTPS
  3. Use the sandbox attribute for origin restrictions
  4. Use the sandbox attribute for content restrictions

Most importantly, neither side of the iframe embed has malicious intent. Your website and the business intelligence vendor’s embedded dashboard do what they say they are going to do and are not attempting any form of cross-site scripting, phishing, or clickjacking.