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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...
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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...
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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...
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Read our concise Executive Brief to understand the operational challenges associated with productizing organization's data-related initiative. Info-Tech’s methodology for...
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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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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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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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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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This phase introduces the data value chain framework and provide a step-by-step guide to start collecting data sources.
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Read this Executive Brief to understand why it is important to architecture your AI initiatives.
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