Data validation

This is for:

Developer

In this article, we’ll cover the importance of validating the usage analytics events sent to your Coveo organization and the tools available to ensure everything is set up the right way.

Why validate?

Capturing commerce events allows you to trace a user’s journey through your Coveo-powered commerce solution by gathering data on the interactions with various elements. Validation is a critical process that ensures the integrity and effectiveness of the logged data by verifying the events have been implemented correctly.

In the context of commerce events, precise tracking and comprehensive reporting of user interactions prove indispensable. Coveo Machine Learning algorithms perform well when fed with good quality data. Inferior data quality inevitably results in below-par machine learning models, leading to a substandard personalized experience. Thus, data validation becomes vital as flawed or incorrect data can lead to inaccurate predictions and unreliable model performance.

Measuring visitor interactions on your site, particularly within the context of conversions and attribution, relies on accurate data. Therefore, it’s important the events sent to Coveo are accurate, as this data forms the foundation for reporting conversions and revenue for each of your Coveo experiences.

Requirements for validation

These guidelines assume that the person performing the validations is familiar with the following:

Note

If authentication is required, having a valid account with the necessary privileges is vital. Access to all interfaces will allow you to inventory all search hubs and search interfaces (such as main search, recommendation components, listing pages, case deflection, etc.) to ensure that all Coveo-powered components are integrated correctly.

Performing data validation

This essential procedure involves three primary validation categories: single event validation, multiple event user journey validation, and data completeness. Let’s explore these categories in more detail below:

  • Single event validation: This category ensures the accuracy of each event sent to Coveo by verifying its payload. As you implement data tracking on your application, the validation process involves inspecting the network request being sent.

  • User journey validation: This validation focuses on confirming the proper sequencing of events sent to Coveo and ensuring data consistency across them. While implementing data tracking on your application, you can examine a sequence of network requests being made.

  • Data completeness: For this validation type, you employ tools available in the Coveo Administration Console to monitor the comprehensiveness of data. Additionally, you can cross-reference transaction data from Coveo with your own backend records to enhance the validation process.