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In this article, we’ll explore the implications of limited customization in embedded analytics and why it’s a critical issue for CTOs, product managers, and development teams.

Ultimately, OEM analytics provides a unique competitive edge by offering a swift, tailored, and user-friendly approach to data-driven decision-making. 

Generic dashboards fail SaaS teams by limiting adoption, slowing developers, and forcing users to rely on external tools. DIY data visualizations change that by embedding analytics directly into the product, making it flexible, engaging, and aligned with business needs. This shift drives adoption, reduces churn, and creates new revenue opportunities through customization and self-service. For SaaS leaders, the value is clear: analytics becomes a product capability, not an add-on. Reveal enables this with an embedded SDK, white-label control, and user-driven dashboards that scale with your product.

We present you six powerful ways in which embedded analytics tools can increase customer satisfaction:

Learn how dashboard linking can provide seamless navigation between interconnected dashboards and enhance your data exploration.

While both purpose-built embedded analytics SDKs and iframes allow for the integration of data analytics capabilities in an application, they come with some key differences. In this blog we discuss these two options to determine their pros and cons so that you can decide which is best for you and your end users. 

New app experiences and exciting new features give new opportunities to offer differentiating value to drive new revenue. When you improve user experience, increase customer satisfaction, escalate application usage, and provide your customers with the ability to make better, faster decisions based on data – you will also create additional revenue streams.

The fastest way to monetize your data is by embedding white-labeled dashboards directly into your product. While the opportunity is clear, the execution isn’t always easy. Building in-house drains time, money, and dev resources, and choosing the wrong partner can lead to the same bottlenecks that stall monetization efforts.

Data warehousing supplies users with actionable insights and helps everyone within one organization make the right call on everything from marketing strategy and product development to human resources and budgeting.  

A sales analytics solution allows your sales rep to identify the characteristics of customers that spend the most money on your product/service and focus their time engaging with those high-quality leads that add value to your business.