
Strategies for Web Based Business Intelligence
Is your business intelligence environment ready for safe, reliable, scalable accessibility via the Internet? How are you addressing this challenge? Typically, business intelligence (BI) environments
Is your business intelligence environment ready for safe, reliable, scalable accessibility via the Internet? How are you addressing this challenge? Typically, business intelligence (BI) environments
Master and reference data management is much more than a technical solution. It is a combination of data integration, metadata management, data governance, and enterprise
Performing and documenting data lineage can be the basis for a successful enterprise data management function Though data management and data linage may seem quite
It is important to understand the value of capturing as much detailed root data as possible to enable the development and usage of views and
Data catalogs are an essential component of every successful enterprise metadata management program Cataloging items has been a process used since the early 1900s to
It is important to determine expected usage patterns for business intelligence and analytical applications before design, and to evaluate their actual usage after implementation to
Every effective data governance program develops and maintains a mission statement to provide focus for the program’s objectives. Just as organizations require a vision for
Digital businesses use technology to create new value in business models, customer experiences, and the internal capabilities that support core operations. Data Governance can contribute
Every data warehouse and business intelligence initiative has risks. Learn to identify them at the start and select the optimal remedy or mitigation technique to
An organization’s data quality is often the result of poor metadata management. Improve business and technical metadata and manage it properly to ensure higher quality
Data quality is dependent on achieving measurable goals across six critical dimensions All professionals understand the importance of making data-driven decisions. But the presence and
There are many characteristics of information quality. Some are intrinsic to the nature of the data, including objectivity, believability and reputation. Many discussions about the
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