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This phase helps understand the data valuation concept and reasons and benefits of assessing the value of their data. Gain a deeper understanding of data valuation using...
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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 leveraged...
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A step-by-step framework for selecting the right architectural components for your AI architecture.
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The pains of poor data operations are felt throughout an organization, from pressures on data analyst to produce insights without proper practice to operationalize insights...
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This phase helps understand benefits of DataOps will help you to understand the reasons why organizations are looking to establish agile principles in their data practice,...
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This phase analyzes DataOps using Info-Tech DataOps use case framework, will help you to identify the gaps your data practices that map all data use cases that need to be...
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This phase helps you mature your data practice by putting in the right people in the right roles, establishing DataOps metrics, communication plan, DataOps best practices...
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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 connected...
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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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