“Here the focus is on a single company. Data governance here is a data management concept in terms of the ability of an organization to ensure that high data quality is maintained throughout the data lifecycle and that data controls are implemented to support business objectives. The key focus areas of data governance include availability, usability, consistency[2], data integrity and data security. This includes establishing processes that ensure effective data management across the enterprise, such as accountability for the adverse effects of poor data quality and ensuring that the data an organization holds can be used by the entire organization. A data steward is a role that ensures that data governance processes are followed and policies are enforced, and also makes recommendations for improvements to data governance processes. Translated with www.DeepL.com/Translator (free version) This section could also be part of section 6 “Quality of adresses and data is a task of leadership”. Because it is about responsibility. Only below is it about management responsibility. A data steward or similar corresponds partly to a data protection officer and partly to an operational manager. We will be taking a more detailed position on this in the coming weeks.   Data Quality: Is there a difference between addresses and data There is not much difference, but we will add a few notes about it. The address quality refers to the data belonging to the address. These are usually variables, such as salutation, title, first name, last name, street and house number or the P.O. box, postal code and city. Whereby the postal code can be differentiated again according to postal code street and postal code post office box. This also includes variables such as the e-mail address, telephone number, smartphone number, fax number, etc. Because address quality is all about the delivery of the message. Regardless of which communication channel is used to deliver the message. All other data that does NOT directly belong to the address is considered separately under the name of data quality. This is not entirely free of overlaps and thus contradictions. Nevertheless, we summarize the topic of data quality management at this point once again as follows. . data is information –> information quality as a superior term data and addresses of a prospective customer and customer –> data quality as brackets Addresses Contact information about a prospective customer and customer –> address quality   criteria that cannot be directly assigned to a prospect or customer but are used in the context of transactions. Terms such as Product Information System (PIM), Master Data Management (MDM) or similar terms are used for this purpose.