The 3 most important work areas that determine data quality
Data collection is the area that has the greatest impact on data quality. sources that can be worked with individually:
1. Page-centered data
This is data that comes from objects that the oman phone number list company controls, such as its own websites (usually through Google Analytics) or branded apps. The most common problems that arise in this context are that the information collected is inaccurate or not appropriate (it lacks the KPIs that really represent value). Therefore, at this point it is checked whether the
Tracking codes are implemented correctly and whether the measured events correspond to the actual needs of the brand .
Another important point is to check whether the rules on consent to the collection of third-party cookies are being complied with. The recent changes prohibit the use of cookie walls and require explicit consent from users. This has a significant impact on data collection, as some users refuse cookies and some information is lost. The
Compliance is mandatory , but there are strategies to minimize impacts.
2. Advertising-centric data
Data quality is critical to optimizing advertising investments across all channels and media. Data science seeks to ensure a consistent nomenclature and taxonomy of the data dimensions and values collected. Ultimately, it is about achieving uniformity so that the