Last updated: August 2026 · Reviewed by the Dotnet Report engineering team Entity Framework Core is excellent at the queries you write while building an app. It struggles the moment your users want to write their own. If you have shipped an ASP.NET Core product on EF Core and the feature requests are now “can … Read more
Adding analytics to a software product is no longer unusual. Customers increasingly expect reports, dashboards, KPIs, and data exploration to be available inside the applications they already use. For SaaS and software companies, however, one question usually appears very early in the evaluation process: how much does embedded analytics cost? There is no universal price … Read more
A SaaS company can spend years building a recognizable product experience. Customers become familiar with its navigation, colors, terminology, workflows, and interface. Then they click “Reports” or “Analytics” and suddenly enter something that looks like an entirely different product. The colors change, the navigation feels unfamiliar, another company’s logo appears, or a report opens on … Read more
An embedded analytics demo can look excellent in fifteen minutes. A dashboard loads, filters work, charts respond, and someone changes a date range while the numbers update instantly. For developers, however, the difficult questions usually begin after the demo. How will the application identify the current user? Where is tenant context enforced? What happens when … Read more
Getting a customer to sign up for a SaaS product is one challenge. Getting that customer to use the product consistently, recognize its value, expand usage across their organization, and renew months or years later is a completely different challenge. That is where product adoption and customer retention become closely connected. A SaaS product may … Read more
Choosing embedded analytics for a SaaS product is easy to underestimate. At first, the requirement may sound straightforward: customers want reports, charts or dashboards inside the application. But the decision affects far more than visualization. The analytics layer may eventually touch your product experience, permissions model, database architecture, pricing strategy, customer onboarding, support workload and … Read more
A dashboard inside a software application can look remarkably simple. A user opens a reporting page, selects a date range, chooses a customer segment, and a chart appears a moment later. From the user’s perspective, the interaction may involve only a few clicks. Behind that interface, however, a much longer sequence of events has to … Read more
Software companies adding customer-facing analytics eventually face an important product decision: Should we build the analytics capability ourselves or buy an embedded analytics platform? At first, building can seem attractive. Your developers already understand the application, database, users, and product experience. Why introduce another platform when the team could create the reporting functionality internally? Buying … Read more
Adding analytics to a .NET application can look deceptively simple at first. Create a few SQL queries. Display the results in a table. Add some charts. Give users a date filter. Then the requests begin. Users want custom reports. Product teams want dashboards. Customers want exports. Enterprise accounts need role-based access. SaaS applications need tenant-level … Read more