Take a step-by-step approach to create data models that provide business value and are linked to business capabilities and processes.
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Self-service analytics is largely misunderstood by many organizations. Your main goal should be to accelerate the speed of analytics and data-driven decision making. This...
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This phase helps you understand your organization's data landscape and current analytics environment so you gain a deeper understanding of your future analytics needs.
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This phase introduces you to data operating model frameworks and provides steps-by-step guide on how to capture the right analytics operating model for your organization.
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This phase helps you implement your chosen analytics operating model. It also helps you establish an engagement model and communications plan.
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Building a data governance engine is a critical first step to enable data-driven knowledge and insight. Use this research to help you create a sustainable and effective...
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This deck will provide a base understanding of the core disciplines that make up an organization’s data and analytics landscape. The various disciplines explained in this...
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Data platform selection should be based on common best practices and, at the same time, be optimized for the organization’s specific needs and goals and support an...
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This storyboard will help you assess and define the architecture to support AI within the organization.
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This phase of the blueprint will help you define a roadmap to implement the architecture to support your AI initiatives.
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