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Every organization needs a plan for business oversight of all data warehouse / business intelligence / analytics efforts. There are certain areas that should be
Many data governance programs fail for a variety of reasons, most of them are able to be corrected. Review this list and ensure that your
Alaa Mahjoub, M.Sc., Eng. In many cases, for an enterprise to build its digital business technology platform, it must modernize its traditional data and analytics
Effective data integration is an important, precise, detailed, and rigorous analysis process that can offer business value to any organization Effective data integration is much
Data integration can present many challenges to any organization. Understand these situations before starting a data integration effort – success depends on it! Asking ten
Organizations should be aware that there are some simple steps for successful data stewardship Never before has the management of data been so important to
ETL is changing to ELT. This is important since data preparation remains one of the toughest obstacles that a data-aware organization must overcome. Consider these
Scalable business intelligence and analytics environments, including data warehouses, support increasing numbers of users, data access, and advanced analysis methods “Scalability” is defined as the
Achieving high quality data is a goal that all professionals and executives should strive for continually. Observations on how to achieve high quality data and
Marketing functions can experience a variety of pain points in their management of data. Understanding these challenges and arriving at effective solutions can offer many
Executive support is an essential, component of every successful program. All data governance initiatives need executive sponsorship and continued support for success At some point
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