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Data Architecture: What It Is and Why You Need It

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 size and industry strive to maximize the value of data for improved business performance. Data

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Effective Data Security Strategies

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 exist against every enterprise’s information assets, whether it is accessible through the Internet or buried

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Data Governance and Business Process Alignment

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 by data for a robust data governance program Governance is defined by Merriam-Webster as “the

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The Art of Professional Relationships in the Virtual World

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 relationships are here to stay!  Embracing this next normal, while re imagining how to establish

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Challenges in Achieving Data Quality Accuracy

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 articles have brought to light how difficult it can be to determine and maintain the

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Business Challenges in Data Warehouse Re-Architecture

Successful re-architecture of data warehousing / business intelligence / analytics environments pose business challenges in addition to information technology issues Many large corporations across a variety of industries face the reality of re-architecting data warehouse environments to accommodate business intelligence

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Information Quality Means More than Accuracy

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 in another, and both versions can have value. Many people think accuracy is the sole

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