Instead of offering clunky, lifeless dashboards that provide users with little-to-no value, what if you could bring advanced analytics and reporting into your product? These capabilities help users ask their own questions, drill into data, and glean insights—all without switching workflows.
White label analytics is the name, and this step-by-step guide will show you how to play the game—from understanding their purpose to referring to how successful examples leverage them. Let’s dive in!
Table of contents:
White label analytics refers to the process of integrating custom analytical and reporting capabilities, such as interactive data visualizations or live dashboards, directly into your product. You may have heard white label analytics referred to as embedded analytics or data monetization.
By utilizing a customizable embedded analytics platform, you tailor the look and feel of dashboards and reports to match your brand without having to build the analytics experience from scratch. Common customizations include changing the colors, widgets, and logos, to match your brand identity.
Using an embedded analytics tool, such as ThoughtSpot Embedded, you can embed custom analytical and reporting capabilities into the user’s workflow. Here are a few examples:
Real-time dashboards: Leverage dynamic, AI-powered dashboards that allow users to ask questions about their business data, monitor KPIs in real-time, and tell great data stories.
Dynamic visualizations: Use easily interpretable visualizations, such as charts, graphs, and tables, to monitor performance, identify trends, and convey data-heavy information.
Advanced filtrations and drill-downs: Turn static charts and graphs into interactive visualizations with filters, drill-downs, and contextual text summaries. These interactive features allow users to pinpoint pain points and discover patterns that otherwise may go unnoticed.
Custom KPI reports: Empower users to track and analyze quantifiable indicators with real-time KPI reporting. Whether they want valuable insight into a project’s progress or identify if you are on track to meet specified goals, white label reporting allows them to stay on top of all critical metrics, enabling data-driven decision-making.
Report builder for authoring dashboards: White label analytics tools, such as ThoughtSpot Embedded, allow you to build custom reports, author a dashboard, or create relevant content via ThoughtSpot Sage. The natural language search bar acts as an intuitive interface, empowering non-technical users to explore insights and create interactive visualizations.
1. Saves valuable resources
Building a data analytics software from scratch requires a significant investment of resources including development, integration, user support, continued maintenance, and testing. Due to its code-intensive nature, an in-house analytics tool will take a longer time to build and prepare for the market. When your capital is tied up in a build that you’re not yet seeing results from, this starts to eat into your overall ROI from your investment.
On the flip side, embedding a white label analytics tool can save months of development time and costs. With developer-friendly SDKs, you can easily embed and release these experiences to the market, boosting ROI and allowing DevOps teams to focus on strategic decision-making. This advantage also extends past the initial launch—because embedded analytics vendors have dedicated support and maintenance teams, you can also save on future maintenance costs.
2. Creates new revenue streams
In a survey by Product-Led Alliance (PLA), 57% of product leaders say that embedded analytics has a direct impact on revenue. By offering a personalized, self-serve analytics experience, even non-technical users can use your product to find invaluable insights. As you find new ways to deliver value to your users, you open up new revenue opportunities within your product, such as creating new pricing or packing around these white labeled analytics features.
Take, for example, Accern. By integrating ThoughtSpot Embedded into its existing data and technology stack, they deliver personalized experiences to non-technical finance and banking professionals. Thanks to ThoughtSpot’s AI-Powered Analytics, the company was able to monetize this self-serve data experience with a premium subscription—boosting its bottom line.
3. Customizable features
Tightly integrated white label analytics allows you to maintain brand integrity while also offering users a world-class analytics experience. In addition to choosing appropriate logos and colors, you can customize sliders, buttons, and filters to enhance your users’ workflow. You can also integrate AI-powered capabilities and custom visual libraries so users can interact with the data in a way that is most conducive to their success.
By embedding ThoughtSpot into its existing data stack, Harri re-launched its hospitality staffing platform. They created custom liveboards for different user groups, enabling busy hospitality managers to track performance metrics such as franchise location sales, staffing schedules, and employee lifecycles across different teams in real-time. This allowed their users to make quick adjustments and ensure business objectives were being met.
4. High user engagement
As the volume of data explodes, users often have to leave their existing workflow to find the data they need. The switching cost of navigating between applications and data platforms is frustrating for end users. Plus, it eats into your own app engagement metrics.
Because white label analytics gives users easier, more seamless access to data, customers can quickly find answers to their questions without having to reach out to IT teams for support. This positive user experience adds up to higher engagement.
This was the case with MDaudit. By embedding ThoughtSpot into its flagship revenue integrity software platform, executive users were empowered to find strategic insights without needing to leave the product. With ThoughtSpot Embedded, MDaudit got to market 10x faster. Even better, they have seen a 50% increase in user growth from 2021 to 2022.
Here’s what Ritesh Ramesh, CEO of MDaudit, has to say about ThoughtSpot:
5. Increased competitive advantage
At the end of the day, users will continue transacting with businesses that offer them the most value. By embedding white label analytics software into your UX, you are empowering users to build custom dashboards and derive insights quickly. Your application becomes more than a line on an expense report; it becomes a direct value add. As a result, users will find more value in your product and keep coming back for more.
Consider Act-On. Without a ‘single source of truth’ and intuitive embedded analytics tool, users struggled to access real-time data about their marketing campaigns. With ThoughtSpot Embedded’s highly customizable Liveboards, the company was able to make data analysis ubiquitous for all users. In fact, they saw over 60% higher report usage over the previous reporting system within the first months of implementation.
White label analytics gives you the power to create personalized data experiences at scale, but not all solutions offer the same value. Here are six criteria to use in your evaluation:
Ease of use: Look for white label analytics tools that offer a user-friendly, intuitive interface that’s as easy to use as your favorite consumer app. The software should allow even non-BI-savvy users to easily interact with data and perform analytics. This will lead to better NPS and customer retention.
Customization options: Unlike traditional embedded analytics tools that simply add charts and graphs, the new breed of white label analytics tools offer ample customization opportunities. From layouts to look and feel, ensure that the platform allows you to personalize the interface and integrate interactive capabilities.
Easy integration: Ensure the platform connects with various data sources. You should be able to pull data from multiple databases, cloud storage, and third-party applications. This ensures that users have access to the most up-to-date and relevant information.
Scalability: Assess the platform’s ability to handle large data volumes. Consider if it can support a growing number of users without requiring a significant investment of resources. Be weary of platforms that offers a seat-based licensing that require you to pay extra for additional capabilities and maintenance. A scalable solution that encourages self-service will deliver fast response times and reliable query performance, even as your user base grows.
Data security: Analyze the data security and governance features provided by the vendor. This includes closely vetting security policies such as access control, user authentication, data encryption, and data sharing. Additionally, consider whether the platform supports secure integrations with internal and external systems.
AI capabilities: Check which GenAI capabilities are available for users. Some of the most popular AI analytics capabilities in a white label analytics platform include natural language search, AI assistance for data modeling, and AI-powered text summaries. By embedding these AI capabilities, you can make data analysis much more intuitive, and therefore valuable, for business users.
Customer support: Determine whether the vendor offers comprehensive support and reliable documentation. It is also critical to consider the availability of training programs for beginners and advanced users so they can seamlessly navigate through the different features.
By making data accessible and searchable, you build valuable customer relationships. A real-time data pipeline with AI-powered capabilities will not only increase customer engagement but also help you create a competitive advantage.
Now that you know how white label analytics tools result in better products and market positioning, it’s time to get hands-on experience. Schedule your free ThoughtSpot Embedded demo today.
