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Data marketplaces facilities data sharing between the data producer and the data consumer. The data product must be carefully designed to truly benefit in today’s...
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This phase will provide a step-by-step guide to capture internal and external data sources critical to data products success for the organization and document end to end...
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This phase will leverage design thinking methodology and templates to document your most important data products.
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This phase will provide clear benefits of adopting the DaaS framework and solid rationale for moving towards a more connected data ecosystem and avoiding data silos.
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Read our concise Executive Brief to find out why you should design Data-as-a-Service (DaaS), review Info-Tech’s methodology, and understand the four ways we can support...
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The current model of point-to-point data exchange internally and externally is simply not secure, fast, flexible, or consistent. This prevents individuals and...
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This tool helps you evaluate current and target capabilities for your data quality practice and related sub practices in conjunction with the accompanying Create an...
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Use the AI Architecture Templates to create a diagram for each AI use case.
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This phase helps you mature your data valuation by putting in the valuation dimensions and metrics. It will also help you establish documented results that can be...
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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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