Tag "Best Practices"
As mentioned in my post describing the major business processes that comprise a data governance function, the Discover processes capture the current state of the organization’s data lifecycle, dependent business processes, supporting organizational and technical capabilities, as well as the state of the data itself. Insights derived from these steps are leveraged to define the... more
To truly manage data as a valued enterprise asset, data governance must be managed as a business function like finance or human resources. A finance function is comprised of multiple core business processes such as accounts payable, accounts receivable, payroll and financial planning. So to manage data governance as a function, what are the core... more
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
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