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This phase introduces the data value chain framework and provide a step-by-step guide to start collecting data sources.
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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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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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Read this Executive Brief to understand why it is important to architecture your AI initiatives.
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This storyboard will help you assess and define the architecture to support AI within the organization.
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Assess your current AI maturity.
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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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Read this Executive Brief to understand why it is important to switch from squeezing all your data management activities into the enterprise data warehouse environment to...
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This storyboard will help you understand how to build your data pipeline using the most appropriate data design patterns.
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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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