Adding Value with Embedded Analytics


Embedded analytics solutions for business applications integrate business intelligence, reports, and interactive dashboards directly into a core application. Instead of switching between separate analytics tools, users can access real-time insights within the application's interface, improving productivity, user adoption, and data-driven decision-making across the organization.

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.


Embedded analytics integration with Application:

Amazon QuickSight embedded analytics implementation enables organizations to integrate dashboards into applications through iframes, APIs, or native embedding techniques. This approach accelerates product delivery, simplifies dashboard updates, and provides users with secure, interactive analytics without leaving the application.

  • Launching a standalone application: One way to implement Reporting & Dashboard functionality is to contain it in a separate website that is launched from within a page. While the user is able to access in this way, it may require User Login or other Security Models.
  • Embedding through Iframe: Another common way to embed analytics is to display them inside of inline frames (separate HTML document inserted inside the webpage). In this approach User can view the dashboard and have limited ability to interact with it, such as changing pre-defined filters.
  • Embedding through API: When an application is embedded at the code level, the BI solution’s code integrates into the host application’s codebase. This approach gives a more seamless analytical experience.

The specific use-cases of Embedded Analytics:

Organizations across insurance, retail, telecom, and finance use interactive dashboards embedded in web applications to provide real-time insights, improve customer experiences, and enable business users to make informed decisions without switching between multiple platforms.

Examples here show how we have embedded analytics to various industry verticals.


Click below to see our interactive dashboards for different use cases


Insurance Image

INSURANCE

For insurance companies to stay profitable, they need to keep constant track of the claims being made for their different policies.

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RETAIL

Interactive dashboard to see the performance of different brands, profile buyer segments, and understand the sales funnel.

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TELECOM

Churn prediction model which assists telecom operators to predict customers who are most likely subject to churn.

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FINANCE

Visualize the best and worst performing stocks and allow quick analysis using historical and real-time live data using KRADL services.

Insurance Embedding Analytics Use-case:

This dashboard provides an overview of a company’s insurance claims metrics. With this dashboard, viewers can answer the following questions:

  • How many claims have we received this month, and what is the amount of those claims
  • How do these numbers compare to previous months?
  • What is our average cost per claim?
  • On average, how long does it take us to settle a claim?
Insurance Dashboard Image

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.

  • How can we analyze sales & profit for each product category & sub-category to know about most profitable products?
  • What would be the upcoming demand of a specific product to save on some inventory costs?
  • What would be the sales in different regions to manage the inventory efficiently?
Retail Dashboard Image

Telecom Embedding Analytics Use-case:

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:

  • How much loss of revenue occurred by churned customers?
  • What were the reasons and % of customer churn?
  • What are the average monthly price impact on churned customers?
  • What would be more expensive; acquiring a new customer or retaining an existing customer?
Telecom Dashboard Image

Finance Embedding Analytics Use-case:

This finance use case demonstrates AWS embedded analytics using Amazon QuickSight by combining Amazon S3, AWS Lambda, AWS Glue, Amazon Aurora, Amazon Redshift, and Amazon QuickSight to deliver real-time dashboards and actionable business insights through an integrated analytics platform.

  • Which company’s share price is growing in order to know where the customer should invest?
  • Overall performance of the shares in the last year, last month, last day?
  • How the share price/volume is changing min over min for each company?
Finance Dashboard Image

Benefits of embedded analytics:

Embedded business intelligence dashboards help organizations improve user engagement, accelerate decision-making, and increase the value of business applications by delivering real-time insights directly within operational workflows. This approach enables teams to act faster without relying on separate reporting tools.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.

Summary:

Organizations are increasingly adopting enterprise embedded analytics services to deliver self-service dashboards, interactive reports, and business intelligence directly within their applications. Combined with Amazon QuickSight and AWS analytics services, embedded analytics helps businesses improve operational efficiency, customer experience, and data-driven decision-making.

*Click here  to know more on Embedded Analytics 

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