How to Avoid Discrepancies Between Your Analytical Expectations and Real Data

published on 20 August 2024
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You’ve probably been there: you want to build a conversion report or analyze user behavior on your site or app, but the data you’re working with turns out to be inconsistent or incomplete. Why does this happen? Missing parameters, untracked or partially tracked events, differing parameter names, and values—all these can lead to discrepancies between your expectations and real data.

Discrepancies between expectations and reality can slow down important decisions and profit-making, as analytics form the foundation of strategy and planning.

What can help avoid such situations?

  1. Proper documentation of events and their parameters, which should leave no room for error for developers and testers. In this article, we have already discussed the basic principles of creating and storing events to help avoid many unpleasant situations during analysis.
  2. A monitoring system that checks incoming events against the event catalog and alerts you to discrepancies. In this case, the analyst can react immediately and take necessary actions, rather than discovering issues later when a crucial event or parameter is needed, and you expected it to be tracked all along.

Often, companies have hundreds of events, but only the most important ones are tested, meaning many are overlooked and can be affected by subsequent releases.

A monitoring system can help ensure that:

  • All events in your event catalog are tracked in the analytics system.
  • There are no unexpected events that aren't listed in the event catalog.
  • All required parameters are filled in.
  • Parameter types are adhered to.
  • Parameter values match the specified possible values or formats.
  • The number of events in the analytics system meets the specified threshold values or other logical criteria.

A monitoring system can view events and parameters across platforms or app versions.

With a good event catalog and a monitoring system set up accordingly, you can avoid many problems in analytics and save time for developers, testers, and analysts to focus on other tasks.

If you don’t have your own event documentation system yet, EventLab is here to help—it stores and documents events with monitoring capabilities. You can either enter all events from scratch or integrate with your existing analytics system, and EventLab will automatically populate events and parameters, specifying their types and values.

The system allows different teams (developers, analysts, marketers) to easily find and use information about tracking events, track changes in events and parameters, and add comments and change histories. This will enhance transparency and consistency in both development and event management.

Take the Next Step with EventLab

Avoid the common pitfalls in data analysis and ensure your events are consistently and accurately tracked with EventLab. Our comprehensive solution provides seamless integration, real-time monitoring, and robust documentation, empowering your team to make informed decisions swiftly and confidently. Don’t let data discrepancies hold you back—transform your analytics workflow with EventLab today.

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