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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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The amount of data within organizations is growing at an exponential rate, creating a need for organizations to adopt a formal approach to governing their data. However,...
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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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Data teams struggle in many areas including a quick and iterative approach for converting an analytics/algorithm into a production-ready reusable and integrated software....
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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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Data is one of the most important assets in a modern organization. Within an organization’s data are contained the customers, the products, and the operational details...
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The goal of data architecture is the standardization of data for the benefit of the organization. Follow this blueprint to create a tactical plan for addressing the...
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Data warehouse projects are some of the most challenging projects for IT because of its complexity, but it is still a technology that helps you gain competitiveness. The...
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Although some may believe that metadata is an outdated form of search due to the natural language search of Google and other out-of-the-box search capabilities, the...
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A master data management strategy will help organizations of all sizes find a central version of the truth, making accurate and complete data available to the...
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