If your organization is large enough, it probably has multiple data-related initiatives going on at any given time. Perhaps a new data warehouse is planned, an ERP upgrade is imminent or a data quality project is underway. Whatever the initiative, it may raise questions around data governance – closely followed by discussions about the
I’ve spent some time over the past couple of months learning more about anonymization. This began with an interest in the technical methods used to protect sensitive personally-identifiable information in a SAS data warehouse and analytics platform we delivered for a customer. But I learned that anonymization has two rather different meanings; one in the
In recent years, we practitioners in the data management world have been pretty quick to conflate “data governance” with “data quality” and “metadata.” Many tools marketed under "data governance" have emerged – yet when you inspect their capabilities, you see that in many ways these tools largely encompass data validation and data standardization. Unfortunately, we
