Over the past several years, embedded analytics has been increasingly popular with organizations looking to digitally transform their business. But while embedded analytics may be the future, they are by no means new. Vendors have been around for nearly a decade and home-grown solutions existed even before that. Now a mature solution with evolved functionality, embedded analytics, is a key to turning insights into action.
From front-end user experience to back-end development to data science implementation, there’s a lot you can do with embedded analytics. But not everyone starts with all these functions built out; it’s important to understand each one’s purpose before deciding if it’s right for your business.
3 trends in embedded analytics
Here’s a brief overview of the three major trends in embedded analytics and how they can benefit your business.
1. Data as a feature
Data as a feature really just means treating data as a core component of your application. Having the data built seamlessly into your application with a design that delivers the data users need insightfully. This trend has largely been driven by demands from users. They want the data to be just as intuitive and easy to understand as the rest of the application experience. For applications to be competitive today, user experience around the data must be a top concern for software designers.
2. Embedded business intelligence and Data Science
Embedded BI and Data Science are very complementary fields. One of the main challenges of data science has always been how to operationalize the findings that data science gives you. How do you get the insights into the hands of business users that can then leverage them for better decision-making? Embedded BI + Data Science allows you to take the outputs from your data science models and distribute them as reports and visualizations that are embedded into the applications your users interface with regularly.
3. Embedded BI meets modern cloud architectures
In a world of increasingly complex cloud architectures, how should you deploy embedded analytics? As BI and analytics are becoming more readily embedded into applications, application architectures are also moving away from monoliths to decoupled, lightweight services, or microservices.
The days of embedding heavyweight, monolithic BI applications into these new, distributed architectures are numbered. Look for BI solution providers to increasingly offer small, specialized BI services that can be purchased and deployed a la carte.
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