It’s inarguable that software is changing the world and quickly becoming more prevalent for most businesses. The use of data-driven software applications is evolving and rising to the forefront, becoming critical to creating competitive differentiation. However, many software teams do not have the developer-grade tools, development time, resources, or analytics expertise to build advanced analytics dashboard with UI components in a way that ensures the seamless user experience with data-driven software that is vitally important to achieving success.
Often, developers turn to traditional BI and data discovery tools to meet the critical need to build data-driven applications in a streamlined manner. While these approaches offer some benefits, the limited customization, extensibility, and self-service capabilities fail to deliver a cohesive brand experience for the user. Users today likely don’t want to be forced to use multiple analytics tools typically built for data analysts – providing quick insight is a priority. Successful white labeling of embedded analytics can offer a seamless user experience that will increase user adoption of BI and analytics.
What is true white labeling?
White labeling is the ability to make embedded analytics and BI look like your own application, not someone else’s. It requires an analytics development environment that gives you complete control to customize the UI, UX, and branding. When developers have this capability, they can match the style and interactivity of dashboards to the rest of the application, creating an integrated portfolio of analytics capabilities.
Ideally, an embedded analytics solution should be able to be fully white-labeled to match the brand, style and workflow of your core application. A cohesive experience needs multiple important elements to succeed, with styling, fonts and language, and cross-platform consistency at the top of the list.
The same fonts and styling spread across your entire application allows an integrated portfolio of analytics capabilities using modern dashboards. Using white-labeled analytics, you now have full control to customize the UI, UX, and branding as you see fit, so attention can be directed towards relevant dashboard content. There is no need to divert color language away from established logos and typically used color templates – these established color schemes help reenforce your brand.
Remember, choosing a do-it-yourself build of UI components might seem like a low-cost alternative to embedded analytics, but it has distinct disadvantages. Building cohesive analytics with components comes with many hidden costs, ranging from R&D cost and support maintenance to licensing costs and bug fixes/updates. It can also be extremely time consuming to research and vet a solution to ensure it meets all of your requirements. In addition, these UI components might yield a rapidly deployed dashboard, but the extensive coding, implementation of security, risk of future incompatibility, and limited support will pose a long-term maintenance and scaling challenge leading to analytics experience. A proper analytics experience should include a fully integrated portfolio of analytics capabilities as opposed to a single dashboard – creating a cohesive experience to improve existing branding efforts.
How does white labeling deliver value?
White labeling is a top requirement when embedding analytics into existing software. In a nutshell, white labeling enables you to incorporate a rich, engaging analytics experience that is part of your application helping you build brand credibility and strengthen customer loyalty, regardless of what is powering the underlying embedded analytics capabilities.
With Logi, not only you get low code/no code, out-of-the-box features for customized dashboards that integrate right into your application, but you get the credit for delivering a great UX. This helps improve application adoption, customer retention, and brand perception by letting a user believe they are still using the application’s native features — ultimately keeping you ahead of the competition.
In today’s business world, mobile and desktop experience are both equally important, with users expecting brand consistency regardless of the platform they’re using. With Logi, you can enjoy the benefits of using analytics solutions without needing to invest the time and resources into attempting to design and develop a robust analytics platform internally.
To learn more about three critical elements of successful white labeling, visit our “How to Successfully White Label Analytics” blog.
Successful white labeling provides users the opportunity to reap the benefits of analytics without your company creating charts and dashboards from scratch. Logi Analytics is available to help enhance your application, offering you complete control over the user experience and interface, including the look, feel, and functionality of the application.
Feel free to see how quick and easy it can be to white label your analytics with this demo.