Identifying the correct organizational structure for the data governance program and naming the roles with the proper titles will ensure credibility and visibility for data governance and data management across the organization For many organizations, titles are one of the ways that performance is distinguished or acknowledged, while in other organizations there is no coherence in how different people’s activities are
Every Data Governance program needs a team to coordinate and manage its activities, and a leader to oversee the team’s responsibilities and guide its interactions with the rest of the organization Introduction Many organizations struggle with the design and implementation of their data governance programs for a variety of reasons. They may not understand the need for an enterprise approach
There are many parallels between America’s favorite pastime and data governance, since both are governed by rules, require action, and need excellent communication. Introduction While peanuts and cracker jacks may not be readily available in data governance meetings, and you may actually care if you get back [home] at some point, the essence of baseball can be broken down into
Every organization needs a set of foundational policies to manage the basic operations of data governance. Policies are different from guiding principles Introduction Every organization needs to create and maintain a set of basic or foundational policies to manage the operations of data governance effectively. Many people confuse the terms “policy” with “guiding principle.” Policies are “the overall business rules
Challenges to successful data governance deployment are numerous, but can be avoided or overcome through attention to best practices and industry standards Introduction Corporate interest in data governance often starts with recognition within data integration projects that there is a high variability in success and that this can be attributed, partially, to a lack of standardized approaches to data management. Historically
Ensure that your organization can identify the actual business value data governance and data stewardship contribute to start and maintain the program Introduction Often, data governance and data stewardship programs are cited for a lack of tangible metrics that indicate the success of the initiative. Without identifying criteria for measuring the results of the data governance program and the activities
Base your data governance program on a set of enduring guiding principles to ensure long-term success! Introduction Guiding principles are statements that direct the organization in the course of its operations, in all circumstances, regardless of changes in management or other impermanent things. In a continuing program such as data governance, it is important to establish a set of points
Using a data governance maturity model to assess and continually measure the performance of the data governance program can give any organization tactical and strategic benefits. Introduction Generally, data governance is a long-term strategic initiative, but data governance can also deliver short-term, tactical benefits. The need for both strategic and tactical approaches to data governance contributes to an organization’s confusion
Creating and maintaining business and technical metadata definitions are two common data stewardship activities. Doing them well is essential to data stewardship success. Data stewards perform many common activities, including developing and maintaining data domain values, creating and managing business data rules, and supporting the data quality rules, validation and resolution processes. However, the most common activities performed by business
