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Models represent the real world and make it more understandable. Data models play the same role and are a powerful communication tool for the IT professional and business...
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Self-serve analytics is not simply transitioning IT-driven analytics to the business. Organizations are struggling to understand what's involved in the analytics...
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Data management has distinct phasing. Fitting all phases inside a single data warehouse environment creates an unmanageable monster. Instead, think of creating a...
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The key to landscaping your data environment lies in ensuring foundational disciplines are optimized with a recognition for the interdependency among the various disciplines.
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As organizations accelerate their digital transformation, a commonly cited reason for data adoption failure is a lack of data literacy, which inhibits their efforts to...
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Use this blueprint to understand what AI really means in practice and to get started with your AI explorations to harness its transformative power.
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AI is changing the fabric of our world, from the way we conduct business, to how we work and live, make decisions, and engage with each other, to how we organize our...
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Put a strategy in place to ensure data is available, accessible, well integrated, secured, of acceptable quality, and suitably visualized to fuel organization-wide...
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Calculating the value of the data is something every organization must do to ensure the future growth of the organization. In the near future, with increased regulations,...
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For AI to be able to answer questions or discover new relationships, it needs an underlining architecture that not only describes the data AI will operate on but also...
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