After May 25: From one-time preparation to continuous control
Many companies viewed May 25 as the finish line. In reality, it is the start of an ongoing marathon. Corporate data is constantly growing, integrations are being updated, and developers are adding new fields to databases. Without established Data Governance, the protection you built before GDPR will start to become "outdated" within just a few months.
Quality and record lifecycle
The main task is to organize the data lifecycle. For example, if your marketing report in Power BI automatically pulls data from a CRM, you must ensure that only anonymized or minimally necessary sets are included. Implement a Data Quality Scorecard: monitor data completeness, uniqueness, and relevance. Automate the cleanup of temporary staging tables, which often become forgotten repositories of personal information.
Roles: Who is responsible for what?
Effective management is impossible without defining a Data Owner (the business owner of the data) and a Data Steward (the operator who ensures quality). Important: An IT administrator cannot be responsible for the legitimacy of data usage. The business process owner must independently determine whether a specific department needs access to the customer database. Regular access reviews must become a quarterly ritual for system administrators.
Example: Controlling integration changes
Suppose you decide to add a new notification channel. Instead of simply writing a new table into your ETL, you must conduct an "Impact Analysis": which personal fields will be used, is consent required for this, and how long will this data be stored in the new system? Using tools that automatically track Data Lineage will allow you to show exactly where a record came from and where it went at any time. Data Governance is not about restricting development, but about creating a predictable environment. When you know exactly where and how your data is stored, you not only become more resilient to GDPR requirements but also gain a real advantage in the speed and accuracy of business decision-making.
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