Tag "Data Quality"
For the final facet of our data governance framework, I’ve intentionally saved Program Management for last. I felt to fully demonstrate why your organization must invest in skilled program managers I should first introduce all the simultaneous moving parts that make up a comprehensive data governance strategy. (For links to my posts deep diving into... more
The next facet of our data governance framework focuses on the three intentionally simplified dependent processes that constitute the data lifecycle. When educating your business sponsors and evangelists on the data lifecycle, I like to categorize it into these three broad areas: upstream processes, stewardship processes, and downstream processes. If you’re an enterprise or data... more
The next facet of our Data Governance Framework recognizes the key dependency any data governance-related effort has on change management. No matter how compelling the vision and business case, making data a trusted corporate asset on par with your financial and people assets is a major culture shift for most organizations.
The next facet on the tour of our data governance framework can be one of the most frustrating for those driving data governance efforts within their organization: Measurement. The concept of data governance has experienced a boost in credibility over the past few years. Many business leaders finally acknowledge the need to transform their organizations... more
While the People facet of our Data Governance Framework focuses on skills and responsibilities, the Organizational Alignment facet focuses on the working relationships between dependent roles. Many organizations begin their data governance journey putting decision-making responsibility, resourcing and stewardship within existing organizational structures – and early business value and momentum can certainly be delivered this... more
Continuing the tour of our Data Governance Framework, it’s time to discuss the corporate policies that must be documented to form the foundation of your data governance efforts. When defined, approved, evangelized and enforced appropriately, these policies have the power to accomplish a feat that grassroots data governance efforts fail at repeatedly: Evolving your corporate... more
It’s important to note that I didn’t title this post “Implementing a Data Governance Architecture”. Data governance is not a technology space, tool – or architecture. As our data governance framework illustrates, tools and architecture represents but one of many facets needed to support an enterprise data governance competency. But once you’ve defined your vision... more
The next stop on the tour of our data governance framework focuses on the people investments that your organization must make to build out data governance capabilities. The right people are required to support, sponsor, steward, operationalize and ultimately deliver a positive return on your data assets. As you can imagine, the challenge of defining... more
In my previous post I introduced our data governance framework. Now it’s time to dive a bit deeper into each of the individual facets. I start with the “Vision and Business Case” facet because that’s exactly where your data governance efforts should begin. No point in trying to align your people, process, and technology components... more