Four Reasons Why It’s Better to Use Embedded Analytics in Your App Than Build Your Own


No matter what industry you operate in or what your personal role is, data is the fuel that drives the business engine in today’s digital world. Every application we use on a daily basis produces countless amounts of data which can be significantly valuable.

For users of your app, the ability to interact with their data and get insights from it can be a difference maker, but that’s not always the case. Regardless of whether you offer them analytics tools or not, users will need to understand their data, and they’ll use whatever they find.

For app makers, this puts added pressure on creating a suite of analytics tools that offers a strong user experience while providing real value—something challenging when teams don’t have the expertise, resources, or time to build them. More and more, organizations are turning to embedded analytics to both offer a superior data processing tool and save time and efforts on building such a product.

Here are four reasons why you should make the switch and embed analytics in your product.

  1. It Gives Users the Ability to Blend and Interact with Data in New Ways

It’s not hyperbole to say that making a valuable and effective BI and analytics tool is highly complex. For many dev teams, the level of expertise usually allows for analytics suites that can perform basic tasks, export data to external documents, and connect to other analytics suites.

Embedded analytics, on the other hand, suffer from none of the restrictions your team may face. One of the biggest added benefits of using embedded analytics is that they can simply process data in more and better ways. This includes mashing up data and blending streams from different sources to create completely new data sets and unexpected connections and insights.

More than simply tabulating numbers, embedded analytics offers a suite of features that lets you play with and manipulate data to get more out of every point and set.

  1. You Can Integrate Low-Latency Dashboards into Any Application

More than simply analyzing data, embedded analytics offer you easy access to that data in a ready-to-use format. Real-time data has more value to a company when it can translate directly into both better decisions and improved performance.

While analytics on their own can tell you a story, having to parse data and access it elsewhere means users may not always get to it in a timely fashion. On the other hand, dashboards present the most relevant information to users in an easy-to-digest format that is immediately actionable.

Most dashboards include success metrics and KPIs, transactional data, and daily reports that can be condensed into quick data visualizations. Building out reporting tools requires heavy UX and UI work, and embedded analytics feature suites that are already polished, perfected, and ready to go out of the box.

  1. It Turns Your App into a Central Hub

In some cases, you may consider offering some but not all the analytics features available due to lack of resources or time. While it may seem valuable, as long as you’re forcing your users to go elsewhere for their analytics your app will have a hard time becoming more than a quick use and discard.

Indeed, with the number of apps on the market, the best policy is to design a product that keeps users hooked consistently. Embedded analytics improve your app’s stickiness factor by centralizing many of the secondary services users need when it comes to their data. This includes reporting, data visualization, dashboards, and the data processing itself.

By merging your app’s core services with the analytics users have to understand them, you can keep them consistently engaged and interacting in your ecosystem.

  1. Streamlined Integration and Experiences

Perhaps the biggest benefit embedded analytics offer to any app is the streamlined performance and experience end-users receive. It can be difficult to tack on an in-house analytics tool when a team has never done it before and has little experience in making it usable. The result of a bad implementation is a poorer user experience, and problems across the app when connections fail, or tools don’t properly link up.

On the other hand, embedded analytics tools are designed exclusively for the task at hand by specialists, and the performance shows.

Instead of having to waste time on building and optimizing UX, you can skip that step directly by using a suite of analytics tools that is ready to use out of the box. Embedded analytics also offer a fine-tuned user experience and flow that can be tailored to meet your app and users’ needs.

Embedded Is the Answer

Analytics are a must-have for any app today. In a market that is so heavily saturated across every segment, having features that distinguish you from the competition is essential, but attempting to do too much can be more harmful than beneficial. Using embedded analytics gives you the best of both worlds, and lets you increase your app’s stickiness by providing value to your end users.