White Label Analytics Defined

What is White Label Analytics?

White label analytics, often called embedded analytics or embedded BI, is the ability to seamlessly embed reports, dashboards, and visualizations into your application by giving you the ability to customize the look and feel to match that of your application UI and brand.

What are the Goals of White Label Analytics?

The goal of white label analytics is to integrate 3rd party analytics capabilities into an application while being white labeled, so the look, feel, and branding of the application remains consistent. These analytics capabilities can include reporting, dashboarding, and other types of data visualizations used to dig deeper into data for better insights, in-context analysis, with the ultimate goal of making quicker better decisions.  Compared to modern enterprise analytics, the benefit of embedding analytics directly into an application (versus pulling data and centralizing it to an outside application) is the efficient gains garnered from converting direct actionable intelligence to actual action.

Common White Label Analytics Features

White Label Analytics Integration

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  • Seamless Integration– The essential feature of white-labeled analytics is the ability to embed all of the reporting and dashboard functionality your end users need in both the application UI and the back-end architecture of your application.
  • Managed Reporting– Extensive API capabilities for full control of reporting and dashboard management from within your application gives administrators the ability to push out new reports and dashboards to select users or to whole organizations.
  • Scalability– A flexible architecture that scales with your application, providing load balancing and high availability so your analytics can scale as you do.
  • Multi-Tenancy– Enables tenant administrators the ability to implement fine-grained management of their own resource, security, and user policies. Often used by SaaS providers who may have multiple clients on a single server instance.
  • Security-Having the ability to use multiple security standards such as LDAP and OAuth are essential so you can fine-tune user access rights within one enterprise or across thousands of organizations or departments running on your SaaS platform or on-premises application.

Why Do Software Vendors Use White Label Analytics?

Embed and White Label

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B2B software vendors utilize both white label and white label reporting within their applications because of the added value utilizing a 3rd party application serves compared to developing a full-fledged BI suite in-house. For example, with rapid deployment technologies, advanced API sets, and ever increasingly easy to utilize UI/UX systems the time to integrate a 3rd party embedded analytics platform has decreased dramatically, this also means your time-to-market on analytics capabilities has dropped.  Another reason why software vendors choose to white label analytics in their applications is that it future proofs their analytics for the foreseeable future. Instead of having a continual development burden to keep up with ever-changing market and user demands, a 3rd party vendor keeps the analytics capabilities up to date while you focus on your core capabilities. The actual functional capabilities of a 3rd party application can also outweigh the capabilities available when developing in-house. In fact, many of our customers said the biggest reason they were looking to integrate an outside platform instead of building something was, “We don’t want to be in the analytics business, we want to be in the business our application was designed for”.

The Benefits of White Labeling Analytics

Embedded Reporting

White labeling analytics has a number of benefits including reduced development time and resources needed to implement analytics, improving current reporting and dashboard capabilities with a richer feature set, differentiating you from your competitors, and improving overall user experience.  White-labeling allows a development team to integrate analytical capabilities into their own application often with less effort and cost than developing their own analytics capabilities. It provides the ability to seamlessly integrate both on the front and back end normally through the use of API calls. Enterprise reporting capabilities such as ad hoc reporting can also greatly improve user’s data insights increasing user adoption with greater overall functionality. Giving users the ability to interact with their data from within a single application instead of having to export data to another analytics software or less sophisticated datasheet system creates a better overall user experience. Having more sophisticated analytics can also act as a differentiator as many applications only support the bare minimum level of reporting.

How Do White Label Analytics Tools Work?

Most white label analytics tools work off 3-tier application architecture to integrate with existing software architecture. This means they utilize an architectural set composed of a data layer, application layer, and presentation layer. In fact no matter what your application’s architecture, most embedded analytics applications are still driven by this approach. The reason being that this allows for the modularized application component, in this case, the embedded analytics application itself, to be easily integrated and updated independently of the rest of your software’s existing architecture. This allows for greater development flexibility while maintaining the essential security and business logic systems your application relies on. This also means that the actual integration itself can be done relatively easily depending on the scope of integration. The process of OEM customization and white labeling can also be accomplished with relative ease depending on how deep the integration goes. Customizing individual reports or reports created in bulk to match the look and branding of your application is often the first step in the integration of a white label analytics solution. The next step being deeper integration to embed different business logic and report functionality into your application itself, this can be done from both the front and backend through Java and JavaScript APIs. Analytics applications which are built from the ground up to be embedded, such as JReport, also offer flexible deployment options to match your current deployment scheme.

JReport: A Complete White Labeled Analytics Solution

JReport delivers highly customizable, white labeled reports, dashboards, and visualizations. With its pure Java architecture, Java and JavaScript API sets JReport seamlessly embeds into any application and enables you to differentiate your products from your competitors while improving your user’s experience. You can embed JReport into your own software applications or as part of the product offerings you provide to your customers. JReport’s embedded BI solution gives you control over every facet of a large set of visualizations and widgets allowing your end users to gain deeper insights into your data with less development resources.

JReport fully supports the ability to embed within SaaS or on-premises applications. With multi-tenancy capabilities, clustering technologies, and advanced security and administration options, JReport gives you total control of your user’s experience giving you the ability to integrate both on the front and back end with ease.

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