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Managed metadata using a repository is the foundation of a successful decision support or analytics system. Business intelligence needs metadata’s capabilities. Introduction Building a metadata
Measuring the maturity of an organization’s data management capabilities against a standard model provides structure and the ability to gauge progress over time Introduction Organizations
Data stewardship is the role practiced by business staff that implements the policies and standards developed by data governance professionals. Data stewards ensure the quailty
Enterprise data modeling is an essential component of strong enterprise data architecture, with subject, conceptual and enterprise logical models based on business concepts and requirements
Many project management challenges are centered on the people involved in a project; part of the “people, process, technology” triangle as the basis of all
Organizations can find increased value in business intelligence and analytics efforts through the use of various data delivery strategies. Introduction Like many organizations, your company
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
Metadata infrastructure planning should include all the MME layers while maintaining focus on the objective. Introduction It is essential to retain focus on the overall
A well-modeled data dictionary can provide lasting value and ensure consistency of use throughout an organization for all data elements. Introduction The primary purpose organizations
Metadata management should start with the identification of business subject areas to enable prioritization of all enterprise data management initiatives and related projects. Introduction Metadata
The Semantic data web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries Introduction Interest in
ISO 8000 defines the parameters of data quality, so one can ask for quality data and verify that one has received quality data Introduction It
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