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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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As many organizations start to realize that data is their most powerful asset, they dive into analytics to get value from that data. Without guidance from a data strategy...
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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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The amount of data within organizations is growing at an exponential rate, creating a need for organizations to adopt a formal approach to governing their data. However,...
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Use the Data Governance Planning and Roadmapping Workbook to assist with establishing effective data governance practices.
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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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This webinar talks thought primary components of creating effective enterprise data models to drive business success
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Self-serve analytics is not simply transitioning IT-driven analytics to the business. Organizations are struggling to understand what's involved in the analytics...
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Read our concise Executive Brief for Info-Tech's methodology for assessing your organization's analytics needs and aligning your data governance, capabilities, and...
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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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