To understand Embedded analytics, we must first understand what data analytics is.  Data Analytics is the scientific process of analyzing raw data and drawing out meaningful patterns and information from it. Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.  

What is Embedded Analytics?  

Now that you have a better understanding of data analytics, we can now try to understand Embedded Analytics. As the name suggests Embedded Analytics is the integration of analytics into a different business application, websites portals, etc. so that users can seamlessly access and visualize their data in their own business environment making it easier for them to understand and make better and faster decisions in their business.  

The analytics platform that is embedded into a software application may be unrecognizable to the end-user as a separate piece of software. This is called white-labeling – where the analytics platform is completely rebranded to blend in with the look and feel of the rest of the application into which it is embedded. This allows enterprise applications to market the analytics as their own.  

Why Embedded Analytics?  

Use cases for Embedded analytics can be found in every industry. Embedded Analytics find their applications in various domains like E-Commerce Dashboards, Web Portals, Conversation websites, and Business applications. 

Why should you choose to embed Sisense analytics in your business model?  

Types of Embedding

Typically, there are three types of Embedding: –  

Embedded analytics is the future! And it will become an inevitable feature in all the products for data utiliztion

Thinking of embedding analytics into your websites and applications? then you are in the right place, get in touch with us and we will help you create a customized solution for your analytics needs and reap the benefits in a short time! Liked this article? Feel free to share this article.