![]() Data stewards can be split into three categories depending on their professional background: business, data management, and technical. DAMA specifies a data steward as a person or a group of persons that ‘represent the interests of all stakeholders and must take an enterprise perspective to ensure enterprise data is of high quality and can be used effectively.’ DAMA also specifies different types of data stewards. I want to stress that DAMA clarifies that steward and custodian are synonymous. The company delegates data-related tasks to different types of data stewards. The idea of data stewardship derives from the concept of data ownership. You can find more information in my video presentation on this subject or contact me for one-on-one advice. If I explain these factors in-depth, this will become a book rather than an article. I will discuss seven key factors that influence the DM/DG roles shown in Figure 2. Key factors that influence the design of data management/governance (DM/DG) roles Let’s look at factors that a data management professional should consider when designing data management/governance (DM/DG) roles. Take, for example, different steward-related roles introduced in DAMA-DMBOK2: ‘data steward,’ ‘data custodian,’ ‘chief data steward,’ ‘business data steward,’ ‘coordinating data steward,’ ‘executive data steward,’ ‘data steward facilitator,’ ‘technical data steward.’ What rules can the company follow to choose the ‘just enough’ roles of stewards, and what is the proper context for this ‘zoo’ of stewards? No clear guidelines to match the roles and companies’ reality It happens because there are no clear guidelines on how to design roles that match the needs and reality of the company. This is only one of the examples of blindly copying the sources. Once, I heard a colleague proudly say: ‘we have implemented roles of stewards and custodians.’ Linguistically, the words ‘steward’ and ‘custodian’ are synonymous. This approach causes the next challenge associated with unaligned names and accountabilities of the role. While talking to many data management professionals who implemented DM/DG roles, I often get the impression that they copy roles from well-known sources without analyzing factors that may influence the design pattern of roles. The following associated challenge is an unclear relation between roles and enterprise size. Sadly enough, even publications of the DAMA International present a huge number of roles: 120, to be precise!!! The biggest challenge is the alignment between these roles and processes, the tasks to be delivered, and the artifacts to be produced. The number of rolesĭifferent publications about DM/DG roles introduce a big ‘zoo’ of the roles. Challenges with common approaches to design DM/DG roles.
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