What is a Modern Embedded Analytics Platform?

Not all analytic products have been designed to be embedded. Many of today’s embedded analytics and BI vendors built their standalone applications first so they are not purposely designed to be embedded into applications. Modern embedded analytics platforms don't deliver a set of monolithic tools. Instead, they support a full stack of integrated analytic functions — from reporting and dashboards to self-service analytics, alerts, collaboration, data preparation and machine learning on a unified, scalable architecture with common administrative and management functions. And unlike more restricted analytics platforms of the past that limited what users could do, newer embedded platforms give end users the freedom to edit visualizations or dashboards or to create their own. Also, they are designed from the ground up for the web, cloud and mobile delivery. Modern embedded analytics platforms also make it easier for developers to create custom analytic applications.

What are the Key Elements of Embedded Analytics?

These are some of the key functions that are included with embedded analytics software: Dashboards , Data Connectors, Visualizations .

What are Embedded Analytics Statistical Functions?

Wikipedia defines statistics as the study of the collection, analysis, interpretation, presentation, and organization of data. In terms of data analytics, this can include key statistical functions such as outliers detection , time series forecasting and linear regression , as well as the ability to embed these interactions into visualizations or allow features such as dashboard drill-downs and dashboard linking.

Embedded Analytics

Q: What is the Difference Between Embedded Analytics and Traditional BI?

In contrast to traditional BI, which requires users to leave their workflow applications to look at data insights in a separate set of tools, embedded analytics lets users view data visualizations or dashboards in context—while in the application itself. This immediacy makes embedded analytics much more intuitive and likely to be viewed by users. A December 2016 report from Nucleus Research found that using BI tools, which require toggling between applications, can take up as much as 1-2 hours of an employee’s time each week, whereas embedded analytics eliminate the need to toggle between apps.

As businesses continue to make analytics and BI their top investment priority, choosing the right embedded analytics vendor to partner with is paramount. But what exactly does embedded analytics do? What are its benefits and key elements? How to choose the best solution for your business needs? All of these are questions that we know a lot of you still ask yourself. Here, we’ve gathered everything that you need to know about embedded analytics.

Table of contents:

What is embedded analytics?
What is embedded analytics used for?
Additional Information

What Is Embedded Analytics?

Embedded analytics software delivers real-time reporting, interactive data visualization, and/or advanced analytics, including machine learning, directly into an enterprise business application. The data is managed by an analytics platform, and the visualizations and reports are placed directly within the application user interface (UI) to improve the context and usability of the data for business users.

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What Is Embedded Analytics Used For?

Embedded analytics tools can be used in many different industries, allowing businesses to collect and analyze data for various purposes. The main usage of embedded analytics is to provide data and up-to-date business insights in the simplest way possible so that any user or application can use and act on them.

When you integrate analytics into your business applications, you can achieve many benefits, such as:

View, edit, and create sales, KPI dashboards, and more directly from your app

Provide dashboards in context with other features in your application

Connect your different data sources for easy access

Turn on and off features for your end users or customers

Total control over the security and look and feel of the data in your app

Customize actions based on your customers’ interaction with dashboards and visualizations

Organizations are taking advantage of these benefits by integrating embedded analytics into their web pages, business applications, commercial software products, and external portals