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Agile project management requires self-organizing teams that can adapt to a variety of projects, including data warehousing, business intelligence, and analytics initiatives. Extreme Scoping is
Explaining data warehouse automation can be challenging, but all data warehouse / business intelligence professionals should understand the concepts and practices. Data warehouse automation is
Organizations are changing their decision-making process from an expertise and intuition basis to data and information foundation. Doing so points to the need for effective
Three steps can help any organization develop the right architecture for business intelligence, analytics, or a re-design of a data warehouse The best place to
Every organization, of every size and industry, needs an enterprise data architecture to become a more data-driven enterprise. In a digital economy, enterprises of every
Every organization needs a variety of security strategies for all areas of enterprise data management, with responsibilities assigned to business and technology teams Security threats
Data does not exist in a vacuum. Therefore, data governance should not be practiced alone. Remember to include the processes that affect and are affected
The virtual world is a reality. Data management professionals must embrace this next normal, while re-evaluating how they approach establishing and maintaining professional relationships. Virtual
Determining “accuracy” is not always an easy task, and not all data lends itself to discovering a single value for data quality accuracy Several recent
Successful re-architecture of data warehousing / business intelligence / analytics environments pose business challenges in addition to information technology issues Many large corporations across a
Accuracy is not the only measurement that can or should determine quality for an organization’s data. Data can be accurate in one context and inaccurate
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