Master Data Management can support a total view of common data (customer, product, location, etc.) Agile data governance can support the development and implementation of effective master data management Multiple regulatory compliance initiatives such as Anti-Money Laundering (AML) and other
When selecting technology solutions to support a Data Governance program it is important to conduct a thorough and focused assessment While Data Governance is fundamentally about cultural and organizational aspects and cannot be solved only by technology, technological solutions play
Data Governance and Data Stewardship, are they the same thing? Many people working as a data steward or as a data governance professional make the mistake of using the phrases “data governance” and “data stewardship” interchangeably. These terms are not
It is essential for all data management professionals to know these data governance terms and their definitions Data Governance: defines the people, processes, framework and organization necessary to ensure that an organization’s information assets (data and metadata) are formally, properly,
Business analysis is a specialized skill. Following are some practices and behaviors that help a business analyst (BA) contribute to project success. Software managers sometimes assume that every skilled developer can also interview customers and write requirements, without any training,
How should an organization document its data lineage? There are several approaches from which to choose When dealing with data lineage, one of the main questions is: how should it be documented? There are a few crucial decisions to be
How can an organization develop its business analysis function? What actions can encourage, support and grow the business analyst mindset of the practitioners who play a pivotal role in enabling successful changes in an organization? Introduction Any business organization that
Since a Data Office has become a reality in many organizations, what are the foundational components of a successful data office? Moving towards a data-centric enterprise architecture affects relationships among the organization’s data stakeholders and requires rethinking the data management
