1,328 Results for Keywords data governance
Introduction An Enterprise Data Model is an integrated view of the data produced and consumed across an entire organization. It incorporates an appropriate industry perspective. An Enterprise Data Model (EDM) represents a single integrated definition of data, unbiased of any system or application. It is independent of “how” the data is physically sourced, stored, processed […]
<p>With the Web 2.0, ontologies are being used to improve search capabilities and make inferences for improved human or computer reasoning. By relating terms in an ontology, the user doesn’t need to know the exact term actually stored in the document. Data Rationalization is a Managed Meta Data Environment (MME) enabled application which creates/extends an ontology for a domain into the structured data world, based on model objects stored in various models (of varying levels of detail, across model files and modeling tools) and other meta data.
Bob Seiner uses the term ÒOperating ModelÓ because the roles & responsibilities of a ÒNon-Invasive Data GovernanceÓª program play such a crucial role in the operational success or failure of this type of endeavor Ð from best practices, to acceptability, to long-term sustainability.
In the first installment of Data Stewardship Common Issues, we covered five items that can be difficult to deal with. In this, the second and final installment, we’ll round out our “top ten” with another five items. Training the stewards properly Given how busy stewards are, it can be tricky to get them trained do […]
To improve Data Management (DM) processes within a business first requires a detailed assessment of the current state of Data Management within the organization and must include some sort of best practice framework to measure against. The DAMA Guide to the Data Management Body of Knowledge (DMBoK) – used in conjunction with an assessment approach […]
by Jay Zaidi Data Governance has become a top priority in the Data Management industry lately due to a renewed focus on Big Data, Data Security, Data Privacy, Master Data Management (MDM), Reference Data Management, Regulatory Compliance, and Data Quality Management. Many companies have some form of Data Governance in place, via data controls (e.g. SOX controls), structured […]
