style="font-size:15px;"> Figure 9.2 Data governance model
Several questions remain, such as: how do you find good data owners and data stewards? How do they perform their role effectively? The theme here is non-invasive data governance which will be explained in more detail in part II – in chapter 25 – of this book.
■ 9.5 POSITION OF DATA GOVERNANCE
I will close this chapter with a brief discussion of the position of data governance in the organization, especially in relation to other governance processes in the organization. I often hear arguments along the lines of “Data resides in our systems, so data must be an IT thing. As a consequence, data governance should fall under the jurisdiction of IT governance”. There is some merit to this position but only if you believe that data/ data management is an IT topic. I tend to disagree.
As explained in this book, I believe data to be a topic of its own and one that should not be positioned as yet another IT topic. Consider once more figure 9.2. The top layer of this diagram shows governance activities from a data perspective, using the ownership/ stewardship model. This is intended to govern the data in the systems, not the systems themselves. This would be the realm of IT governance which has its own models and frameworks for governance, most notably COBIT (see e.g. [ISA12]). As processes, data, and systems are all important, so are their governance activities and I believe that they should co-exist. Governance activities should complement each other and should therefore be coordinated. The way this works best really depends on the local setting and culture of the organization: there is no single optimum answer to that problem.
■ 9.6 VISUAL SUMMARY
1 https://en.wikipedia.org/wiki/Separation_of_powers, last checked; 12 June 2019.
2 Typically in the form of a RACI matrix. See e.g. https://en.wikipedia.org/wiki/Responsibility_assignment_matrix. Last checked: 12 June 2019.
3 It is hard to find people with this dual background. As an alternative, many organizations work with stewardship duos: a business data steward paired to an IT data steward.
Synopsis - Metadata is defined as “data about data”. In this chapter, I will discuss three types of metadata: business, technical, and operational metadata. I will also show that metadata is foundational for all data management/ data governance activities. Last but not least, I will offer some theoretical considerations on how to set up a metadata repository.
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