Post by account_disabled on Dec 24, 2023 5:45:21 GMT
Athe naming of all your analytics elements so that your employees feel comfortable with the data they are handling. . Ensure the quality of your data to improve your decisions In a datadriven organisation data steers most of your decisions like the nature and timing of promotional operations or communication campaigns the segmentation of audiences and the reliability of targeting and the correction or addition of functionalities on a website or mobile application.
To carry out all these actions you must have complete confidence in the quality of the data. And using poorquality data can have serious consequences for your business such as Loss of revenue and business opportunities Decrease in the ROI of your actions Reduction in quality of decisions Phone Number List Contamination of other data projects CRM data lake CDP etc. Loss of internal confidence and credibility with your customers Data can also be altered by a variety of risk factors during its journey Unmeasured traffic due to missing or incorrect tags Unmeasured traffic due to partial measurement methods sampling Overestimated traffic due to bots Traffic blocked by adblockers Overestimated conversions due to poor source attribution.
Traffic not excluded despite lack of user consent To avoid these risks be vigilant at all stages of the data life cycle starting with the critical moment of data collection because this phase is permanent. And each modification or update of the website or tracking inevitably poses a risk to the quality of the collection. Put in place effective methodologies and tools to orchestrate and document this process. First make sure that the tags are correctly implemented in your tagging plans. Check them regularly and completely ideally with automated acceptance tests as manual operation increases the risk of error and is tedious and timeconsuming. We believe that this data control process should be extremely fast and easy to monitor verify and correct. Thats why AT Internet offers a.
To carry out all these actions you must have complete confidence in the quality of the data. And using poorquality data can have serious consequences for your business such as Loss of revenue and business opportunities Decrease in the ROI of your actions Reduction in quality of decisions Phone Number List Contamination of other data projects CRM data lake CDP etc. Loss of internal confidence and credibility with your customers Data can also be altered by a variety of risk factors during its journey Unmeasured traffic due to missing or incorrect tags Unmeasured traffic due to partial measurement methods sampling Overestimated traffic due to bots Traffic blocked by adblockers Overestimated conversions due to poor source attribution.
Traffic not excluded despite lack of user consent To avoid these risks be vigilant at all stages of the data life cycle starting with the critical moment of data collection because this phase is permanent. And each modification or update of the website or tracking inevitably poses a risk to the quality of the collection. Put in place effective methodologies and tools to orchestrate and document this process. First make sure that the tags are correctly implemented in your tagging plans. Check them regularly and completely ideally with automated acceptance tests as manual operation increases the risk of error and is tedious and timeconsuming. We believe that this data control process should be extremely fast and easy to monitor verify and correct. Thats why AT Internet offers a.