Data Architecture and Data Governance are the same thing! Aren’t they? Most people would say that this line of thinking is absurd – or even worse. There is NO WAY that they are the same thing. Or are they? This RWDG webinar with Bob Seiner and his special guest Anthony Algmin looks that the disciplines…

Data Stewards play an important role in data governance solutions. That is why it is critical that organizations get data stewardship right when setting up their program. The data is governed by people. Some people will even tell you that the discipline should be called people governance. Bob Seiner has a lot to say on…

Data catalogs, business glossaries and data dictionaries house the metadata that builds organizational confidence in your data. First and foremost, the people in your organization need to be engaged in leveraging the tools, understand the data that is available, who is responsible for the data and knowhow to get their hands on the data they…

A metadata framework delivers improved understanding of metadata and how it is structured to improve the value of data. The development of a metadata framework must be easy to replicate for all of the critical data elements of the organization. The framework must also relate to the use of business glossaries, data dictionaries and data…

The method you follow to form your data governance roles and responsibilities will impact the success of your program. There are industry standard roles that require adjustment to fit the culture of your organization when getting started, gaining acceptance, and demonstrating sustained value. Roles are the backbone of a productive data governance program. Bob Seiner…

What is the difference between data governance and information governance? Organizations either use these terms interchangeably – or they have a distinct separate meaning. Either way, it is important to discuss the discipline of governance as it pertains to different types of data and information. And what the discipline is called. Join Bob Seiner for…

Data science uses systematic methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data science requires high-quality data that is trusted by the organization and data scientists. Many organizations focus their data governance programs on improving data quality resulting. These three concepts (governance, science, and quality) seem to be made…

A worthwhile data governance framework includes the core component of a successful program as viewed by the different levels of the organization. Each of the components is addressed at each of the levels providing insight into key ideals and terminology used to attract participation across the organization. A framework plays a key role in setting…

Organizations are investing heavily in becoming data-centric. Data governance practitioners must begin to deploy effective data governance techniques to support these investments. One of these techniques is to tackle the problem of convincing stakeholders that data governance is necessary. This webinar will help you address that challenge. Join Bob Seiner for this RWDG webinar where…

To take a “ready, aim, fire” tactic to implementing data governance, many organizations assess themselves against industry best practices. The process is not difficult or time consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start. Join Bob Seiner for this popular RWDG topic…