What is Embedded Analytics?

Embedded analytics pertains to the process of integrating data visualizations, dashboards, real-time reports, and other analytical capabilities into another software app such as a business processes application. Due to this streamlined integration, the end user has the power to perform analysis on data within the same application where the analytics platform is also located.

Unlike traditional analytic and BI tools, which are only periodically used by a quarter of those in an organization, embedded analytics drastically changes this balance. The act of adding dashboards, charts, and even authoring environments directly inside other applications provides users across a business with access to the same powerful BI tools, simply by working with the applications they have already been using.

Uses for Embedded Analytics

Embedded analytics has applications in a variety of industries and businesses in which data is collected and analyzed. One of the main reasons embedded analytics is used is due to the clear and timely business insights it provides users so that the information can be immediately acted upon.

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Here are a few ways embedded analytics can be used at your workplace:

  • Customize actions so that users can more effectively interact with visualizations or dashboards.
  • Create, view, or edit sales and KPI dashboards directly from the app.
  • Decide which features to turn off or on for end users.
  • Control not just the look and feel of how the data appears in the app, but also the security.
  • Effortlessly connect to various sources of data.
  • Share a team’s performance with other groups within a company without having to create more user profiles within a BI system.
  • Share a team’s data with external parties such as vendors, in the form of a live and up-to-date data feed.

Benefits of Using Embedded Analytics

Those using embedded analytics cite many benefits to incorporating this software into their work environment. Here are a few of the most common perks to embedding analytics tools:

  • Competitive & Sustainable Advantage: In the current data-driven world, most clients expect analytic capacities to be embedded within applications. Without the actionable insights gathered from these embedded analytics, it’s more difficult to get actionable insights and to remain able to compete with other businesses.
  • Fast Insights: Embedding the best modern analytics platform allows end users to quickly get insights from their data.
  • Greater Appeal to Customers: Those who embed modern business intelligence platforms can provide users with a cutting-edge analytical experience. They can receive automated insights on the spot, without having to undergo the traditional data-discovery process. Users can collaborate with others on their team about the data, as well as share insights in a governed platform.
  • Shift Focus to Product or Service: Corporations that embed analytics have more resources to devote to their core product or service, ultimately yielding a better end result.
  • Fast Path to the Market: Those who build their own analytic capabilities typically run into issues with construction and deployment, which often cause delays. The longer that passes before a product or service can hit the market, the longer it will take to begin earning revenue from it. Embedded analytics software helps users get to the market, and to do so quickly.

Drawbacks to Using Embedded Analytics

In addition to the advantages of embedding analytics, there are also a few disadvantages to be aware of:

  • Because software vendors offer pre-set configurations that may not be applicable to everyone, embedded analytics may not be able to provide sufficient report customizations that are applicable to all users.
  • Building an embedded analytics platform can be costly since a team of specialists is required to create and maintain this effort.
  • Keeping up with industry standards requires time and effort.

The Bottom Line

As our reliance on data continues to grow, the amount of data that needs to be analyzed for actionable insights is expected to grow as well. In 2020, the embedded analytics market was valued at $36 billion, a number that’s projected to grow to $77 billion by the conclusion of 2026. This rapid increase speaks to the importance of finding more streamlined approaches for professionals to use when managing big data.

For those who are deciding whether to adopt embedded analytics into their work environment, the financial and collaborative benefits largely outweigh the few above-listed drawbacks. The bottom line is: For businesses and companies that work with data, the question perhaps isn’t whether or not to switch to embedded analytics, but when to do so?

Hands-On Data Analytics & Data Science Classes

For those who are interested in learning about the most current practices for analyzing, cleaning, and visualizing data, Noble Desktop offers data analytics classes for beginners as well as more advanced learners. These full-time and part-time courses are taught by top New York Data Analysts and provide timely and hands-on training for those wishing to learn more about topics like Python, SQL, Excel, or data science, among others.

Those who are committed to learning in an intensive educational environment may also consider enrolling in a data analytics or data science bootcamp. These rigorous courses are taught by industry experts and provide timely instruction on how to analyze and visualize large sets of data. Over 90 bootcamp options are available for beginners, intermediate, and advanced students looking to master skills and topics like data analytics, data visualization, data science, and Python, among others. These courses vary from 18 hours to 72 weeks, and range in price from $915 to $27,500.

In addition, a variety of live online data visualization courses are also offered for those who want to learn how to create engaging data visualizations in the virtual format. More than 80 classes are available, varying in length from three hours to ten weeks, and costing between $219 and $12,995.

Noble Desktop’s Data Visualizations Classes Near Me tool is designed for those who want to locate and learn more about the various data visualization courses in the area. Over 200 courses are currently listed, in-person and live online. Classes cost between $119 and $12,995 and vary in length from three hours to ten weeks.