Tag "Data Quality"
As mentioned in my post describing the major business processes that comprise a data governance function, the Apply processes aim to operationalize and ensure compliance with all the data governance policies, business rules, stewardship processes, workflows, and cross-functional roles and responsibilities captured through the Discover and Define process stages.
As mentioned in my post describing the major business processes that comprise a data governance function, the Define processes documents data definitions and business context associated with business terminology, taxonomies, relationships, as well as the policies, rules, standards, processes, and measurement strategy that must be defined to operationalize data governance efforts. This process runs parallel... more
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
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