Embedded Analytics: Bringing Users Closer in the App

embedded analytics

Embedded Analytics: Bringing Users Closer in the App

There may be many complicated definitions to explain embedded analytics, but in reality you may already be using them in your business applications. To explain them simply, embedded analytics are the tools accessible inside your applications that provide relevant information and data to help you make intelligent business decisions and work more efficiently. This means that users no longer have to exit their existing application and try to retrieve this important data for your business using a separate method. The embedded analytics are carefully integrated directly into the existing application.

For this reason, the demand of embedded analytics is on the rise. In 2016, Logi Analytics issued a report that found that 87% of users want embedded analytics to exist within their applications.

Embedded analytics offer you a unique insight into the very data that needed to make smart decisions, and it will only to continue to grow and evolve into new and useful technologies. Now is the time for businesses to fully understand and take advantages of its beneficial capabilities.

3 Capabilities of Embedded Analytics

1. Easily Accessible Dashboards. One of the most common capabilities of applications with embedded analytics is the tool of an accessible dashboard. The dashboard is usually an area that embedded analyticssummarizes the most important data that is relevant to your needs.

For example, a common business application may contain a dashboard that displays data such as, total revenue or website traffic for a given amount of time. Most embedded analytic systems allow the user to set the dashboard to display data for the day, month, or year.

2. Interactive Reports. Another great feature of embedded analytics is that there are usually interactive reports in the form of tables or graphs to provide the user with a visual representation of the data. These reports summarize important relevant data and make it easier to understand.

3. Self-Service Data Analysis. This capability of the embedded analytics system allows the user to carefully view and analyze data for themselves. Users do not need to be expert analysts to draw important conclusions from this data, because the embedded analytics supply the desired statistics in an easy and efficient way. Using this capability can allow decision-makers to notice critical business opportunities, and may give them the upper-hand over their competitors.

Making Analytics Easy and Accessible

Embedded analytics brings important data right to the hands of every user in the application. The data, reports, and analysis capabilities are easily accessible. By using these capabilities, businesses are able to gain expert knowledge into the data that defines their successes, as well as the areas that can be improved. Businesses can use this data to see if a specific marketing strategy was productive. Or perhaps to analyze what day and time their targeted audience engages the most with their social media posts. For businesses, the uses of embedded analytics are invaluable and they will only continue to advance.

The Future of Embedded Analytics

 

Analytics is evolving. It is becoming predictive, and automated.

embedded analytics bringing users closer in the app

If you look carefully you can see analytics working nearly everywhere in your everyday life. When you visit Amazon and search for a specific item, do you ever notice that the next time you visit Amazon it is flooded with suggestions related to that item? And later when you log onto Facebook, do you notice that you see more ads for that item? That is part of the ever evolving capabilities of analytics, advancing to a stage where we no longer have to intervene for action to be taken. Embedded analytics are part of this evolution. With each advancement this tool becomes more and more effective for businesses, bringing them closer than ever to the data that is critical to their success.

Good Read: Analyzing Search Data Leads To New Business

No Comments

Post A Comment

eighteen + 7 =