This policy establishes uniform data governance standards and identifies the shared responsibilities for assuring the integrity of the data and that it efficiently and...
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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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The key to landscaping your data environment lies in ensuring foundational disciplines are optimized with a recognition for the interdependency among the various disciplines.
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This template takes you through a business needs gathering activity to highlight and create relevant use cases around the organization’s data-related problems and...
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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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Use the Data Governance Planning and Roadmapping Workbook to assist with establishing effective data governance practices.
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Funding announced as a part of the American Rescue Plan (ARP) aims to enable public health to prepare for future challenges by leveraging data collected by public health...
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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 helps you implement your chosen analytics operating model. It also helps you establish an engagement model and communications plan.
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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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