A key consideration when buying an embedded analytics solution is not only whether it supports embedding of charts and reports, but that it can integrate analytics in a way that is indistinguishable from the experience of your application.
Today’s best embedded BI platforms support the ability to freely customize and rebrand the user interface (UI) to seamlessly blend analytics with your own software and brand identity, rather than stick out like a third-party add-on. This capability is referred to as white-label analytics, and it's a feature that's still not quite clear for many businesses.
Don’t quite know what white label analytics is yet, or how it even benefits you? Read on.
What does white label analytics actually mean?
White label analytics is an embedded analytics solution that can be re-branded and customized to make analytics look and feel like a part of your own business application, to maintain the same organizational feel with other corporate documents and systems.
Using an embedded BI solution that supports white-labelling, you can re-brand and re-style visual elements like colors, fonts and logos, as well as buttons, links, login pages, menus - and most importantly the content itself (reports, charts, dashboards).
The exact flexibility of white labelling analytics, of course, depends on the vendor.
According to Eckerson Group’s How to Select an Embedded Analytics Product whitepaper, the best white-label analytics solutions offer a point-and-click properties editor that non-developers can use to configure and style elements without requiring any coding, but also offers the ability to use the CSS if deeper customization is required.
When it comes to use cases for white label analytics, there are many reasons, such as to:
- Embed analytics capabilities into your own native software
- Deploy standalone analytical applications with your branding
- Mirror your corporate branding for enterprise deployments
Yellowfin fully supports white label analytics as part of its embedded analytics suite, and many of our prospects ask us about why white labelling their analytics is so beneficial today. Below, we take a little more time to break down the top 5 key business benefits.
Benefit #1 - A seamless and unified user experience
Choosing to buy a BI platform that supports white labelling means you can provide a seamless analytics experience users won’t even know stems from another product.
Anyone who uses your software for their analytics needs will be able to engage with their business data as normal without the complexity or confusion that can arise from having to use a completely different looking third-party analytics solution. Their analytics will essentially look like you built it, with logos, colors and portals they already understand.
Providing people with the ability to engage with their data in one single application with a familiar UI, rather than having to export data to analyze in another competing BI solution or legacy datasheet tool (Excel, anyone?) is overall a better experience for everyone.
The best white-label analytics solutions also take functionality a step further by allowing users to take action on their data from within their regular application workflow, without having to shift to another tool for further context. This is called contextual analytics.
Benefit #2- Faster time to market
Bringing analytics into your application doesn’t have to be an exhaustive effort.
Buying an embedded solution with custom analytics supported means you don’t have to spend more resources or allocate development time into building your own BI module.
Instead, you can deliver a proven high-quality analytics experience to your software users faster and easier, while ensuring they can extract analytic value immediately.
Out-of-the-box, customers can instantly engage with the latest dashboards, data storytelling and operational reporting features, all with the same branding, look and feel.
Benefit #3- More time to improve core product
Using an embedded analytics solution with white labelling supported means you free up your developers to focus on innovating upon and improving your core product, with significantly less cost and effort spent compared to building analytics in-house.
For example, Yellowfin's white label analytics supports drag and drop property editors and low code environments with pre-set styling and white labelling options, which your team can quickly leverage to match your brand to the rest of your software offering.
In contrast, building BI means dedicating development to handling user report requests and trying to match the capabilities of specialist third-party BI solutions; a long task near impossible to achieve unless you have the expertise - and that costs a lot more money.
Custom analytics eliminates all of these potential pain-points, allowing your developers to focus on the product rather than having to also become experts across analytics.
Benefit #4 - Increased user engagement and BI adoption
Being able to customize how analytic components like dashboards and reports look and interact with other core features in your application helps increase your brand consistency and your users’ overall engagement with embedded analytics features.
White-labelling ensures any user can begin their regular workflow as normal - view reports, etc - without ever feeling like they’re using another tool or need to use another. They can also start to engage with increasingly contextual actions, like ordering more stock, now that data is more seamlessly built into what they need to action day-to-day.
Customers are then likely to quickly associate your application as the place to be for their analytics needs, improving and accelerating their adoption of BI in a significant way.
Benefit # 5 - Sub-branding
Modern embedded analytics platforms such as Yellowfin offer additional sub-branding as part of their included white label analytics options. Sub-branding lets you apply multiple customized styles to your dashboards and reports for specially tailored experiences depending on who is accessing and using your application's analytics.
Say you host a multi-tenant application where each tenant requires its own brand to be displayed: Yellowfin’s sub-branding enables you to define tenant-specific style sheets and images so you can provide a highly unique experience for each client organization.
Next steps: See what white-label analytics (custom analytics) looks like in Yellowfin BI
White labelling analytics to look as close to your software as possible should be easy as possible. Watch our walkthrough for product teams to see how Yellowfin makes customizing the look and feel of your analytics easy.