Digital Business

How to Use Digital Business Analytics?

As the world rapidly digitizes, businesses are also attempting to go digital, making it easier for consumers and workers to collaborate on equal footing. Here, digital business analytics has assisted businesses in reaching new heights.

The primary goal of digital business analytics is to enable clients to connect business measurements to application efficiency and user satisfaction, resulting in a consolidated understanding of how these metrics drive business objectives and KPIs. But how should this provision be used? This will be demonstrated in the following sections:

Digital Business

Start by defining the session and the user action properties

Before you begin, you need to understand what these terms signify. A session is a collection of customer interactions with your webpage that occur within a specific period frame. Multiple page visits, activities, interpersonal relationships, and e-commerce purchases are all included.

On the other hand, a user action is an engagement with an end experience that requires a connection to a central server, which may have numerous stacked operations. It is a change from one viewpoint to another prompted by user action, such as a page load, taps, or input.

This is the initial stage in leveraging digital business analytics for audience categorization and extracting important business KPIs. Suppose the data is to be retrieved from the server rather than the client interface. In that case, you must first define the relevant server-side demand characteristics before applying them as client session/action variables.

Check the fresh properties

Following the definition of the relevant attributes, organizations should expect to observe those characteristics update on appropriate user experiences. This is also the point at which new attributes, like other routinely created qualities and keywords, can be utilized as filters. Businesses can now examine their specific audiences’ business goals using active research and digital business analytics.

Defining queries with the help of USQL

Following that, you should become acquainted with User Session Query Language (USQL). U-SQL is a data-processing technology that mixes descriptive SQL with demanding C#. You can quickly evaluate data throughout database storage with U-scalable, SQL’s distributed-query functionality.

You can use USQL to run complex searches, perform dynamic user categorization, and collect statistics from collected information by accessing the attributes you’ve established. The SQL-like UI includes auto-completion situationally, making it simple to write even complex queries.


Using USQL, it is simple to assess how you may use KPIs, including income, sales, visit number or time, and product interaction driven by consumer experience for major consumer groups to assess business performance. And, using USQL, businesses can instantly see the outcomes, readily modifying their searches as they go.

Writing the results

Finally, after you’ve tried and approved the request, you may save the output result to a panel. After you’ve completed all of the steps, you may plan to increase your panel by adding more panels based on business-relevant market segments or other business KPIs.