Analytics Data Quality

Challenges to be addressed

"I find it difficult to see the quality of the data because I don't have a continuous monitoring platform".
"The process of capturing and submitting variables is inefficient and takes too long."
"I have no way to apply business rules to validate whether the variables on each page are correctly set."
"I encounter problems with non-standardised data and cannot easily detect them."
"I don't have adequate support when I create new pages or make updates, which leads to errors in data integration."

Success story

Luce IT implements Analytics Data Quality for a major client in the travel sector. This asset aims to resolve issues related to the definition, maintenance, and quality of data reported in the client’s data layer. This allows the client to monitor the correct transmission of data to third-party tools at all times. Its fast operation enables all necessary variables within the data layer (dataLayer) to be captured, processed and sent quickly and efficiently.

In addition, through business rules defined by the customer, it can provide information on the status of each variable on each page, providing a complete overview when new developments are made, new pages are created, or when information is not correctly standardised.