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Embedded Analytics

Embedded Analytics: What is it and how to use it?

 

Embedded analytics refers to integrating data analysis and visualization capabilities directly within business applications or systems.

While traditional Business Intelligence (BI) typically provides insights through separate dashboards and reports, embedded analytics directly brings these insights into the daily applications that companies use, enhancing data analysis and visualization.

More and more companies are looking for tools and solutions that accelerate user adoption and generate insights that guide decision-making.

With this in mind, today we bring you a lot of information so that you understand what Embedded Analytics is and how it benefits businesses.

What is Embedded Analytics?

Embedded analytics is a term that refers to the integration of data analysis and visualization capabilities directly within business applications or systems.

Instead of accessing a separate platform or tool to obtain analytical insights, users can view and interact with these data directly in their already working environment.

In other words, the user ends up using BI within the context of navigating a CRM or any other type of solution – without realizing that they are navigating in another solution (framework).

This provides a more fluid and integrated experience, eliminating the need to switch between different platforms and tools.

Example of Embedded Analytics custom solution created by Cluster using Qlik Sense. Click here to access it

How Does Embedded Analytics Work?

Embedded analytics functions by integrating analytical capabilities directly into software applications, allowing users to access and analyze data within the context of their workflow without switching to external tools or platforms.

Typically, data resides in disparate sources or silos within an organization. Embedded analytics tools leverage connectors and APIs to access these data repositories, enabling real-time analysis and visualization. Users can explore and analyze data sets, generate reports, and create visualizations without leaving the application interface.

For instance, consider a scenario where a retail management application incorporates embedded analytics. Users can seamlessly analyze sales performance metrics directly, such as conversion rates compared to the application environment and Suto lead generation. They can generate insightful graphs and reports by leveraging real-time data to gain actionable insights.

Features

Some of the features are:

  • Deep Integration: Embedded analytics is deeply integrated into applications and systems, allowing a smooth transition between normal operations and data visualization.
  • Customization: Embedded analytics solutions are highly customizable, allowing companies to adjust data presentation and interaction according to their specific needs.
  • Interactivity: Users can interact with data in real-time, filtering, sorting, and performing other operations without leaving the main application.
  • User Autonomy: With embedded analytics, end users have more control over how and when they access insights without depending on IT teams or data analysts.
  • Security: By integrating analytics directly into business applications, companies can leverage existing security protocols, ensuring that data remains protected.

The Advantages of Embedded Analytics

Embedded analytics has been growing exponentially in companies of all sizes and sectors. But why is this trend gaining so much traction? Here are some reasons:

Seamless Integration

Embedded analytics allows a smooth transition between daily operations and data analysis. Users do not need to switch between applications or platforms, making the process more efficient.

Accelerated Decision Making

By having analytical insights directly into the application they are using, decision-makers can act quickly, basing their choices on real-time data.

Enhanced User Experience

By offering analytics within the context of a familiar application, the learning curve is reduced, and user satisfaction is increased.

Customization

Embedded analytics can be customized to meet an organization’s specific needs, ensuring that the insights are relevant and actionable.

Competitive Advantage

In a saturated market, having quick and easy access to analytical insights can be the differentiator that puts a company ahead of its competitors.

Cluster: Unravel analytics through design We are UX, Dataviz and Developers experts focused on Analytics solutions. Go beyond native with Qlik Sense, Looker, Tableau, and other BI tools.

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