data governance meeting agenda

i’m not a fan of meetings in general and data governance requires quite a few and they are always packed. though, there are 5 topics you should always be mindful of and go over on a monthly, quarterly, or annual basis in your data governance council meetings. here they are, along with their recommended frequencies: purpose: to monitor the implementation and execution of the data governance program. purpose: to track the return on investment arising from managing data as an asset: from improved data acquisition, creation, integration, maintenance, dissemination, from having a common understanding on the usage of data and information and so on. purpose: to monitor the progress of data quality efforts. there might also be escalations which are brought to the council by the data stewardship working groups.

as i’m sure you already know, change management is crucial for the success of the data governance program. of course, there are a lot of topics to cover during data governance council meetings. the frequency of the council meetings is also established by the maturity of your data governance program. during the early stages you will meet more often and as the program matures, the council meetings will lessen in scope and frequency. george firican is the director of data governance and business intelligence at the university of british columbia, which is ranked among the top 20 public universities in the world. his passion for data led him towards award-winning program implementations in the data governance, data quality, and business intelligence fields.

remember that the ultimate goal of dg is to disappear as a stand-alone program. in our opinion, that perpetuates the labeling of data management and governance as programs that can be terminated, as opposed to the permanent behavior change it really represents. because of the broad use and importance of master data with a company, master data improvement needs are likely to command more priority and attention during the data governance process than other improvement needs for other types of data. what this is suggesting is that continuous improvement of the data governance discipline in the mdm program will be a highly influencing factor for the recognition and success of a broader enterprise data governance program. within a company, the definition of data domains and data subject areas can be different or conflicting across a company’s information, system, and functional architectures if there are no standards that apply to this. data governance is intended to establish a system of decision rights and accountabilities toward data.

any data governance program must address these questions because they exist in every organization and are fundamental to the purpose of governance in the first place. many descriptions of data governance and nearly all of data stewardship emphasize the need to define data well. these are similar to the conditions that have undermined the effectiveness of the cdo and of data stewardship. the second dimension that edw teams need to keep in mind is the distinction between positive and negative requirements. the third aspect of a project’s requirements that agile teams wish to actively manage during discovery and analysis is its orientation. the key step for project leaders is to realize that they will need to manage this progression, so they should prepare in the early stages of the project by explicitly defining the waypoints they want to use and any special artifacts to associate with each.

the data governance council is composed of seven voting members and meets approximately every other month in an open, public meeting. meetings are announced on governance council (dgc) to conduct data assessments and surveys. the cdo support team will assist with meeting agendas, materials, note taking and data governance committee meeting minutes ; 1/9/2020, fy20 updates, fy20 progress ; 5/14/2019, work in progress updates, briefing ; 4/4/2019, steward directory, sample governance meeting agenda, sample governance meeting agenda, what does a data governance committee do, data governance policy, data governance examples.

welcome (chair/co-chairs)-10 minutes. what is open data; purpose of the council; structure of the council (leadership, staffing, meeting frequency, membership: perhaps the best way to see dg capabilities in action is to look at a common artifact from an active dg program—a meeting agenda for the main dg council. the in aligning with the priorities established for the university of wisconsin-madison, the mission of the data governance program is to allow for and, data governance best practices, enterprise data governance council, data governance tutorial, how to implement data governance, data governance strategy, data governance plan, data governance and management, data governance model, data governance steering committee.

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