Data Stewardship and the Data Quality Process
Kelle O’ Neal is the founder and managing partner of First San Francisco Partners, providing Data Governance consulting services to complex organizations. In this webinar Kelle O’ Neal will review two important processes that deliver tangible benefits to the organization – Data Quality Management and Issue Management. We will show how to operationalize this processes using the ‘Data Stewardship Manager’, which is part of Collibra’s ‘Data Governance center’
Data Quality Management is the process to identify your goals and quality levels of the data, determine how those goals will be measured and your ideal threshold for quality. This process also covers how you ensure the data complies with the standards and rules that the governance team created. By demonstrating an improvement in data quality and linking that improvement to increased efficiencies and productivity, the data governance team delivers value to the organization.
The Issue Management process is a great way to track and measure the number of data issues resolved and therefore how many satisfied data consumers you are creating with your governance program. By creating a repeatable, measurable way of identifying and logging data issues, analyzing the cause and impact of those issues and resolving those issues within agreed upon service levels, the data governance team solves specific, meaningful data problems for the company.
Both of these processes are critical ways that a data governance team delivers business value to the organization.