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.
Thanks to the plethora of benefits of embedded analytics for businesses, you can easily monetize your data analytics offering by providing certain analytics features and functionalities as an add-on for your sales team to upsell to new and existing customers.
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.
Here, we have gathered 23 real-world examples of how businesses in different industries use embedded analytics to make the most out of their data in order to enhance their data-driven decision-making processes for competitive advantage and revenue growth.
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.
Integrating analytics capabilities into third-party applications is where you begin to see a boost in productivity and performance. Users don’t need to waste time hopping between multiple tools and systems. Instead, they can log in, access, and engage with data visualizations and dashboards directly within their natural workflow and the apps that they use on a daily basis.