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Using a framework such as a Capability Maturity Model (CMM) brings many benefits to any organization, for any project or program. Introduction Would you eat
Data warehouse implementations are vulnerable to internal as well as external security threats. Follow these mitigating steps to reduce the risks. Introduction Security threats exist
Independent data marts cause many problems in data warehouse architecture; combining to result in numerous issues for business intelligence and analytics solutions. A severe disease
A data strategy can contribute to an organization’s information strategic plan, and arrange for the productive use of the data asset. Introduction A Chief Financial
Using a specialized data validity dimension in a data warehouse design can support data quality and analytics capabilities. Introduction While working on an Enterprise Data
Customer data integration can be improved by using generic dimensional modeling techniques Introduction If you are undertaking a Customer Data Integration (CDI) or Customer Master
Effective metadata management rs software require with robust functionality, enabling full capability for business and technical users Introduction Many government agencies and corporations are currently
Every successful enterprise architecture relies on enterprise metadata management as part of its foundation. Introduction Almost every large government agency or Global 2000 company is
Challenges to implementing data architecture with packaged applications can be overcome by addressing issues and challenges during design Introduction In a previous article I discussed
Every organization should follow a set of guidelines for implementing packaged applications to ensure architectural harmony and avoid numerous problems. Previously I discussed some issues
Business-focused data analysis activities allow for understanding data and correcting any discrepancies, regardless of systems design or implementation Introduction initiative is the first attempt at
Data mining is a powerful analytical activity that can be used with data warehouses and with operational systems, yielding valuable insights. Introduction Data mining is
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