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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.

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.  

Explore 26 embedded analytics examples from real products across industries. Learn how teams use in-app dashboards to improve feature adoption, reduce churn, and deliver real-time insight where users already work. Whether you’re building for finance, healthcare, logistics, or SaaS, these examples show how embedded analytics turns data into action without adding dev overhead or forcing users into disconnected BI tools.

Building custom dashboards and reports doesn’t need to take days or in some cases even weeks to be done. Think about being able to build your own custom dashboards and reports in minutes to be able to extract actionable data insights as quickly as possible. With drag and drop analytics, anyone can go beyond premade dashboards and report templates with ease.

Organizations that want to leverage the full potential of their data to make on-the-spot decisions, have to continually follow the latest trends and technologies in the BI and data analytics space in order to increase revenue, accelerate growth, and improve productivity. 

Enterprises once relied on Logi Analytics for reporting, but today’s SaaS teams need faster, more flexible, and cost-predictable solutions. Logi’s heavy configuration, performance issues, and rising costs under Insightsoftware make it difficult to deliver modern, customer-facing analytics. The shift in focus is clear: product leaders now seek platforms purpose-built for embedding.

Low-code/no-code development platforms are great at reducing the time needed for an application to be fully functioning and completed. Users with no coding experience can create BI applications with powerful data visualization and reporting capabilities, and developers can create apps from start to finish in a matter of minutes rather than weeks or months of traditional hand coding.  

Find out what are the pros and cons of Microsoft’s data analytics platform and identify whether it is the right analytics solution for your business needs.