How do you audit and document your data quality processes and standards for marketing analytics?
Data quality is essential for marketing analytics, as it affects the accuracy, reliability, and usability of your data. Poor data quality can lead to misleading insights, wasted resources, and lost opportunities. Therefore, you need to audit and document your data quality processes and standards regularly, to ensure that your data meets your business needs and goals. In this article, we will show you how to do a data quality audit for marketing analytics, and how to create a data quality documentation that can guide your data collection, analysis, and reporting.