Embedded analytics is the integration of business intelligence and reporting dashboard into a core application. Rather than having business analytics separate from the application, embedded analytics enables reports and dashboards to exist natively in the application’s user interface.
Data is everywhere and is being used to get insights to make strategic business decisions more and more often. As a result, it’s important to be able to access data and analyze it from anywhere. Now we can embed analytics into our applications, offer analytics as a service, as a data product, or embed analytics in our web portals and company intranet.
Embedding a dashboard helps us to market our product faster, quickly deploy new analytics content, and fulfill change requests in moments. There are several approaches to integrate embedding analytics within an application based on end-users & specific use cases. Typically, there are three different ways to embed analytics within applications.
Embedded analytics can be used in many use-cases across industries including the following:
Examples here show how we have embedded analytics to various industry vertificals.
For insurance companies to stay profitable, they need to keep constant track of the claims being made for their different policies.
Interactive dashboard to see performance of different brands, profile buyer segments and understand the sales funnel.
Churn prediction model which assists telecom operators to predict customers who are most likely subject to churn.
Visualize the best and worst performing stocks and allow quick analysis using historical and real time live data using KRADL services
This dashboard provides an overview of a company’s insurance claims metrics. With this dashboard, viewers can answer the following questions:
Retail Embedding Analytics Use-case: This dashboard can help retailers suggest cross-selling and up-sells based on inventory levels and product wise purchase details. With this dashboard, Marketing Executives of firms can answer the following questions .
This dashboard can help telecom companies to retain their customers from churning to another mobile operator. With this dashboard, Marketing Executives can answer the following questions:
In this use-case we have implemented complete Data ETL Pipeline using Yahoofinace API, Amazon S3, AWS Lambda, AWS Glue, Amazon Aurora, AWS Redshift and AWS Quick Sight. This dashboard is showing real-time stocks price and volume change every minute. With this dashboard, investors can get the answer for following questions:
To make more informed and accurate decisions and to achieve the desired outcome, Embedded Analytics plays a very important role. It improves the users' engagement in the system, which increases the value of these applications to the organization. Embedded analytics can significantly enhance an organization's business performance by integrating operations with analytics. This capability facilitates the improvement of business operations by enabling real-time analysis based KPIs. For example, a manufacturing organization could use analytics to monitor and prevent maintenance problems by identifying patterns in equipment breakdown.
Organizations are using these Embedded Analytics platforms to get their data and analytical outputs (like charts, graphs, pivot tables, dashboards) and self-service analytical capabilities inside the business’s core application. So rather than logging into different services or tools, employees/clients can directly access it whenever they need or instead of using a standalone application, Embedded Analytics enables business intelligence directly within the applications an organization is already utilizing.
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