Join us Tuesday Jan 27th from 6 – 7:30 PM at the Multnomah County Central Library (Downtown Portland) for our next in-person chapter meeting. This meeting will be an interactive round-table discussion. While we will have some engaging starter topics, we encourage you to bring any topics or questions you have for this group. This…
Tag: datagovernance
November 2025 – Data Governance Roundtable Discussion
Join us on Monday Nov 17th from 4-6 PM at the Vancouver Library (Downtown Vancouver) for our next in-person chapter meeting. This meeting will be an interactive round-table discussion. While we will have some engaging starter topics, we encourage you to bring any topics or questions you have for this group. This is an opportunity…
February 2025: Data Governance by Design
We have shifted our focus from governing data when an initiative is complete, to beginning data governance during the design phase of the software development lifecycle. We walk with our development teams to ensure that governance is baked into the plan, not an afterthought. We determine the level of governance that is needed for new data products during design. This ensures that the development teams are not surprised by our governance requirements, reducing remediation, and improving the quality of the data products from their inception.
January 2025: Have your Data Quality Cake and Eat It Too (with AI)
In this information-packed session, Data Quality Practitioner, Dan Myers (DQMatters) will provide an update on the state of data quality in the industry based on his 9-year running survey published in November 2024. Then he’ll explain how an industry standard set of dimensions of data quality (the cake) enables consistent communication between data professionals. Dan will demonstrate how to leverage two free AI tools that can help junior team members improve data quality (eat the cake). It isn’t a panacea, but you’re at a disadvantage to ignore these tools.
A Focus on the Fundamentals: What is Data Management and Why Do We Need It
What is Data Management? As defined by DAMA-I, Data Management is the development, execution, and supervision of plans, policies, programs and practices that deliver, control, protect and enhance the value of data and the information assets throughout their lifecycle. While there are fundamental principles that can be applied regardless of your industry or organization, how we apply and implement those principles to facilitate this will be slightly different for every organization.