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What to consider when choosing a white-label business intelligence tool

Product owners invest significant efforts into developing a user interface that’s easy to use, aesthetically pleasing, and visually consistent. To maintain these efforts, white-label embedded analytics software capabilities must be able to also maintain that same look and feel. Several analytics vendors, like Yellowfin, offer white label Business Intelligence for embedding. Each vendor delivers varying levels of flexibility for rebranding from simple logo and business intelligence in trading colour changes to being able to even access the CSS and HTML of the platform to change fonts, build in bespoke actions, and create pixel-perfect dashboard designs.

Features to demand from a white-label business intelligence software.

So, if your business is growing quickly, then you may unintentionally slow the rate at which you can scale up as a result of the limited capacity of your self-built business intelligence solution. Some of the key components of business intelligence are data mining, process analysis, performance benchmarking, and descriptive analytics. With a https://www.xcritical.com/ white-labeled analytics solution, all touchpoints remain consistent with your brand’s look, feel, and voice.

• White label business intelligence provides businesses with a quicker, usually lower cost, alternative to building their own business intelligence software, while still retaining most, if not all, of the benefits of building their own BI solution.
• White labeled BI solutions allow businesses to take advantage of the support staff of the tool in order to solve problems and resolve any issues that may arise.
• While some businesses do this successfully, business intelligence solutions built in-house can be expensive to make and difficult to scale.
• With this solution, you can provide your customers with a seamless and branded analytics experience, without the need for costly in-house development or maintenance.
• By contrast, when you white-label a solution, you have full control over both the look and feel as well as the functionality of your BI tool.

Benefits of Using White Label Analytics

However, white-label business intelligence tools are embedded within Prime Brokerage the system or product itself, so that users don’t have to disrupt their workflow to use the business intelligence feature. Self-service dashboards and interactive reports empower users to access crucial information independently, reducing reliance on your support team. This eases the load on internal resources and allows your team to focus on strategic initiatives.

White Label Analytics: What It Is, Why It Matters & 5 Key Benefits

Leverage readily built reports and dashboards using smart data modeling to kickstart your business reporting. In the event that a business’s in-house solution fails, it is the staff’s responsibility to restore it to full functionality. White labeled BI solutions allow businesses to take advantage of the support staff of the tool in order to solve problems and resolve any issues that may arise. Ensure they have robust security measures in place, such as encryption, access controls, and regular security audits, to protect your data and maintain user trust.

White labeling, also often referred to as “customization,” is an important attribute for many BI tools. However, before choosing a white-label business intelligence solution, you should check the provider’s customer service reviews relating to bugs and fixes to make sure they handle issues in a timely manner. While some businesses do this successfully, business intelligence solutions built in-house can be expensive to make and difficult to scale. After all, as your organization grows, there’s more data to handle, analyze, and sort into visualizations. There are also more clients and investors to satisfy, and it can be hard to adapt your self-built BI tool quickly enough to accommodate this.

In most cases, they have no idea that the interactive dashboards and reports were built by Qrvey – and that’s exactly as it should be. Qrvey is the leading embedded analytics for SaaS solution, offering an analytics solution built for embedded and white label use cases exclusively for SaaS companies that want to offer self-service analytics using their own data. With proper white labeling, you can deliver all the functionality of self-service analytics tools in a high-quality experience that fits your brand. Relevant outlines an example of a company building a food delivery app that multiple restaurants can customize with their own branding. Each restaurant benefits from going to market quickly with a fully supported solution with minimal investment while maintaining focus on its core competency of hospitality. Additionally, the software development firm maximizes revenues by providing software to multiple customers.

Additionally, the complete aesthetic, feel, and function of the tool can be customized to match the rest of a product, making it simpler for end-users to navigate as a whole. Since white-label business intelligence helps improve investors’ confidence in a company, companies are more likely to secure investments that will enable their business to grow ahead of their competition. For one, prospective customers will be more likely to purchase a product or use their service. These customers are more likely to return to make further purchases if they fully trust a business’s tech capabilities.

By white-labeling, businesses can present their data visualizations and reports exactly the way they want to, without the limits of traditional embedded analytics. Lastly, a number of white-label business intelligence tools also allow for further customization in the form of ‘sub-branding’, whereby the tool can be customized according to the specific end user. The GTM AI platform is an excellent example of a white label AI solution that embodies these key components. With its focus on customization, integration, and scalability, the GTM AI platform empowers businesses to create branded AI experiences that align with their unique goals and requirements. Companies can utilize this platform to fully capitalize on AI to streamline their go-to-market efforts, improve customer engagement, and drive growth. Since a great white-label business intelligence feature can be customized to be indistinguishable from the rest of a company’s product—and can be imbued with its branding—the tool comes across as though it’s been built in-house.

As organizations increasingly recognize AI’s potential, they are demanding customizable, scalable solutions. White label AI empowers businesses to use AI under their own brand, seamlessly integrating it into their existing products or services. A common gripe with using business intelligence tools from an external provider is that they can’t be imbued with your company’s branding, so they look and feel different to the rest of the product and don’t feel as though they have come from the same company. Ensure the provider offers a high degree of customization to match your brand and meet your specific needs.

Look for features that allow you to modify dashboards, reports, and visualizations to align with your brand’s aesthetics and user experience. The capabilities of white label embedded analytics software affirm these efforts, without the need for your developers to rebuild significant components of the third-party analytics app. Such rebuilding would partially negate the value of purchasing a third-party white-label reporting tool. We also offer the flexibility to use pre-designed dashboard templates or create your own custom data visualizations with minimal code. With all these features and functionalities, your teams and users can quickly get equipped with the insights they need to make faster and better-informed decisions for business growth.

As the owner of the customer relationship, you control the technology that powers your BI solutions. Sub-branding allows you to make your product, system, or application best suited to its users so that they have the best possible version of your product to fulfill their needs. More than ever, customers are concerned with security, and if they have a perception of a company’s all-round competency, they’re naturally more likely to trust that their security is just as stellar. Since customers can more easily recall your brand—and have been impressed by your amazing product—they’re very likely to provide recommendations to individuals in need of a product like yours. This facilitates greater brand recognition, as the more components of your product that are permeated with your branding, the more likely your brand is to be cemented into the minds of your customers.

There are countless reasons why you might decide to adopt a white-label business intelligence solution for your business, from offering a great product to your clients to facilitating the quick growth of your business. A white-label business intelligence solution appears as though it has been built by the business itself rather than provided by a third-party business intelligence vendor. White label business intelligence is a type of BI solution that can be customized with a business’s branding and integrated with their system or product. By partnering with a white label analytics provider, businesses can bypass the lengthy and resource-intensive process of developing their own analytics platform from scratch. It allows businesses to offer analytics solutions, such as a client portal, to their customers without having to develop the underlying technology themselves.

By embedding your brand’s colors, logos, and design elements, the solution seamlessly extends your product, enhancing brand loyalty and recognition. White-label business intelligence tools can be embellished with branding features such as logos and company colours. Moreover, highly customizable white-label business intelligence allows companies to create custom themes—or upload their company CSS style sheets—to unify the whole aesthetic of the product and reinforce brand identity. As a branch of embedded analytics, white label business intelligence comprises BI solutions that are able to be customized with a business’ branding and replicate its look, feel, and function.

When deciding between buying a white-label analytics platform and building a custom solution, the choice often comes down to time, cost, and focus. Moreover, white labeling allows organizations to tailor the analytics experience to their specific needs and preferences. In today’s highly competitive business landscape, standing out from the crowd is crucial for success. By offering proprietary analytics through white labeling, companies can differentiate themselves from their competitors and gain a significant advantage. Instead of dedicating valuable time and resources to building, maintaining, and continuously updating a complex analytics infrastructure, companies can leverage a pre-built, scalable solution.