Data Management - Blueprints
Topics
Data Priorities 2026Organizations are asking more from IT than ever before. But AI and automation amplify whatever data they consume – feed them noise and they scale confusion. Data leaders... |
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Define the Components of Your AI ArchitectureThe lightning-fast evolution of the AI landscape makes it a challenge for IT to integrate new AI systems and use cases into existing infrastructure. Our research provides a... |
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Launch a Customer-Centric Data-as-a-Product JourneyAs organizations face exponential data growth, traditional data management methods fall short, leading to poor data quality, slow data delivery, and missed opportunities.... |
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Building the Road to Governing Digital IntelligenceLearn about what's ahead for governance, governance as an organizational response, and more from this LIVE 2025 keynote presentation. |
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Map Your Data JourneyLearn more about the obstacles that are likely holding your data practice back, why addressing data challenges can’t wait, and the value of our new Data Research Center in... |
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Fueling AI Greatness: The Critical Role of Data & AI LiteracyExplore the evolution of different forms of literacy and the critical role of data and AI literacy in this keynote presentation from LIVE 2025. |
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Data Culture DiagnosticThe Data Culture diagnostic survey lets you understand business context and the current state environment of organizational data culture. The survey output is a report with... |
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Define a Data Practice Strategy to Power an Autonomous EnterpriseIn the world of exponential technologies, data is everything. Leaders have no choice but to level up their data practice to meet new demands for data, or risk exponential... |
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Promote Data Literacy in Your OrganizationAs organizations accelerate their digital transformation, a commonly cited reason for data adoption failure is a lack of data literacy, which inhibits their efforts to... |
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Identify and Build the Data & Analytics Skills Your Organization NeedsThe demand for data expertise has grown. It is critical for organizations to identify the skill and talent makeup of their data and analytics workforce. By recognizing... |
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