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Now, let’s dive deeper and focus on different white-label analytics implementation approaches and when to use each one in a business setting. IFrames are simply too limiting business intelligence in trading and a security risk to be useful in multi-tenant analytics use cases by SaaS companies. In the intensely competitive world of business, anything that can help to differentiate you from your competitors is going to have a significant impact on the success of your business.
Your application’s UX designers take careful consideration of every other element of your application. If you cannot get down to these levels, it’ll be obvious to users that you’re using third-party software. Depending on what else is going on at the time, this might make it necessary for your employees to work overtime and may even result in missing client deadlines, reducing their satisfaction with your company and damaging your business’ credibility. That data is sorted and displayed in easy-to-understand visualizations that reveal actionable insights, paving the way for data-driven decisions to be made. From the color scheme and logos to the navigation menus and dashboard layouts, you have complete control over the look and feel of the analytics experience. 4Atmos Technologies, based in Waxahachie, Texas, specializes in helping https://www.xcritical.com/ organizations rapidly deploy solutions and best practices that optimize efficiency and reduce missed opportunities.
Being able to customize how analytic components like dashboards and Cryptocurrency wallet 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. This helps encourage users to engage with and extract value from analytics while associating these features with the brand, not the vendor. The editors at Solutions Review have developed this resource to assist buyers in search of the best white label analytics platforms to fit the needs of their organization. Choosing the right vendor and solution can be a complicated process — one that requires in-depth research and often comes down to more than just the solution and its technical capabilities.
Based on your aspirations for your business’s growth, you need to ask yourself if the white-label business intelligence provider you choose is going to be able to fulfill your future needs as well as your needs in the present. A final component to consider is whether the subscription packages offered by the white-label business intelligence provider will be able to cope with your increasing needs as your business grows. This allows your business intelligence tool to be customized to flawlessly match the feature’s aesthetic and function to the rest of your product or system.
Even so, many companies don’t want the risk of connecting their brand publicly with the brand of a technology provider. For businesses worried about keeping their brand as safe as possible, white-label BI tools are essential. As a result, you can ensure that your company branding remains consistent with other communications channels your business uses. By white-labeling, you are able to integrate your chosen technology into your own applications and use it as an embedded BI tool with no direct dependency on third-party servers or cloud platforms. By white-labeling a BI solution, you can customize the product to meet your specific needs without having to pay for custom development from the original vendor. In addition, you can avoid expensive subscription fees that come with the commercial use of most self-service BI tools.
Many companies, especially those focused on non-technical industries, may not have the necessary development expertise or technical teams to build a fully custom analytics platform. Initially, manual reporting or building custom dashboards for each client might be manageable. White label analytics refers to the practice of rebranding and reselling analytics software or services under a company’s own brand. 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.
However, while doing this, customers, stakeholders, and investors aren’t absorbing the company’s branding, with the business intelligence tool obviously being supplied by a third-party provider. What’s more, white-label business intelligence doesn’t appear ‘Frankensteined’ when embedded into products, because the tool can be customized to match the feel and function of the rest of the system. There are several analytics vendors, including Toucan, that offer white label Business Intelligence packages for embedding. From simple logo and color changes to the ability to access the CSS and HTML of the platform to change fonts, create bespoke actions, and design pixel-perfect dashboards, vendors offer varying degrees of flexibility when it comes to rebranding. Additionally, businesses without significant development expertise may take considerable time to set up their own in-house tools.
The portal allowed 4Atmos to offer a highly personalized user experience, complete with interactive, three-dimensional reports, significantly enhancing client engagement. These tools also allow you to customize how data is shared and delivered to users, including setting up personalized alerts and notifications. This ensures that users engage with analytics in an environment that feels like a natural extension of your application, leading to increased brand loyalty.
Check out our data visualization examples to see how white-label analytics software could function for you. Then we’ll list a few questions to ask to assess vendors’ white-label capabilities as part of an evaluation of embedded analytics vendors. Not to mention, white-label analytics providers typically handle the ongoing maintenance and update of the platform, freeing up internal resources for companies to focus on their business objectives. Additionally, the more clients you serve, the greater the risk of inefficiencies, inconsistencies, and delays in delivering accurate data insights. Scaling this manual approach not only strains internal resources but also hampers your ability to provide timely, personalized data services that clients now expect.
While competitors may be relying on spreadsheets and email to distribute the analytics, companies with a white label analytics platform can create a customized and seamless analytics experience. White labeling analytics solutions can significantly accelerate the time-to-market for companies looking to offer advanced analytics capabilities to their customers. In addition to providing the capabilities and benefits detailed above, here are some key considerations when choosing an embedded analytics vendor that offers white label analytics.
This could even convey your brand as a top provider of business intelligence (even though you outsourced your BI tool)—something your customers will remember your company for. All in all, employing white-label business intelligence results in a better product—and a better product wins more customers. However, this is no small feat and demands a significant amount of time and effort from your software engineers. When choosing a white-label business intelligence provider, something you should research thoroughly before committing is the pricing of the solution, both upfront and recurring costs.
In order to get the most out of your business intelligence, you need to be able to use all the data available. In terms of features, being able to customize email addresses, URLs, fonts, and other aesthetic elements is a good start. This allows businesses to make decisions based on that data to further their success—rather than relying on guesswork to decide the best course of action. Business intelligence allows data from a variety of sources to be collected, aggregated, and analyzed.
However, the extent to which a white-label business intelligence tool can provide these benefits largely depends on the provider you choose. Knowing what to look for is essential to ensuring that you get the most from your white-label business intelligence tool, without overspending. Users are still able to fully customize their analytics and dashboards to suit their needs, they just do so within the parameters that you, as the software provider, have defined, ensuring that the look and feel of your software are always maintained. White labeling, also often referred to as “customization,” is an important attribute for many BI tools for creating true white label reports. Designed with embedding in mind from the ground up, Reveal’s powerful API simplifies the process of integrating customized analytics into your applications. In today’s data-driven world, businesses and organizations are increasingly relying on data to drive informed decision-making.
On the other hand, white-label business intelligence allows the BI feature to be embedded seamlessly within a system and be customized to embody your product’s aesthetic. The BI/reports module would be embedded in the ISV’s web app, and show up like a native feature. The integration between the web app and the white label BI solution would be entirely managed behind the scenes.
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, and it’s the next evolution of embedded analytics unique to the Yellowfin platform. BI tools can be complex, and for some customer-facing applications, it’s best to put visualizations into the proper context.