Embedded analytics aims to provide a seamless integration of analytical capabilities directly into your applications. They empower your applications with the strengths of most business intelligence (BI) tools such as self-service analytics, interactive reporting and dashboards, and ad hoc reporting through web and mobile interfaces.
What are the goals of embedded analytics?
The goal of embedded analytics is to provide your applications with the power of a business intelligence tool. With embeddable analytics, your application can make use of the data collected to empower your users to make better decisions.
This can be utilized by departments in your organization to collect data from their business application to make better decisions. Or you can empower external users, such as customers, with external deployment to allow them to create reports right from your application.
Benefits of embedded analytics
Embedded analytics use cases are ever-increasing. In Dresner Advisory Services’ 2015 market study on embedded business intelligence, Howard Dresner asserted, "Looking across our three years of data on user perceptions and intentions around embedding BI functionality, the perceived overall importance has increased, with slightly more people considering embedded BI to be critical."
Let’s take a look at a few benefits of embedded analytics:
- Differentiate yourself from the competitor. Many applications only provide basic reporting thus allowing you stand out with much more advanced, easier-to-use analytics in your applications. Modern BI tools feature advanced visual analytics capabilities such as drill down, cascading parameters, filter, sort, slide, etc. all through drag and drop user interfaces.
- Improve the user experience of your application. Embedded analytics aim to ensure that anyone can use the tool with ease. This is why deployments can range from internal to external use cases allowing customers to use new analytical tools with ease.
- Rapid deployment. Many embeddable analytic tools are aimed at being easy to integrate. Naturally, this means that deployment times are much shorter than deploying traditional business intelligence tools.
- Save time, capital, and effort. Developing a homegrown solution is difficult and takes away the focus from the core capabilities of your own application. Embedded BI solutions provide low total cost of ownership and significant value in a single cohesive software package.
- White-labeling for seamless integration. Your application will look and feel as if you had created the analytical tools on your own with a host of customizable features.
- Embedded analytics aim to provide a seamless integration of analytic capabilities into your applications.
- The goal of embedded analytics is to provide your applications with the power of a business intelligence tool.
- The demand for embedded analytic tools is only increasing. This because of the many benefits such as competitive differentiation, rapid deployment, low TCO, and providing a user-friendly experience.