Data Management & Governance
Topics
Webinar: Design Data-as-a-ServiceTo drive future data growth we must move toward a well-developed data marketplace and Data-as-a-Service (DaaS) framework. |
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AI Registers: Finally, a Tool to Increase Transparency in AI/MLTransparency, explainability, and trust are pressing topics in AI/ML today. While much has been written about why these are important and what organizations should do, no... |
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Webinar: Build a Reporting and Analytics StrategyYour reporting and analytics strategy must support the organization’s strategy – it provides direction and requirements for data accumulation, augmentation, and consumption... |
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A Consensus Is Emerging: AI Regulation Must Be a Global Effort That’s Values-Driven, Risk-Based, and Evidence-InformedGovernments are starting to regulate AI. The current efforts are still rather fragmented, but a consensus is emerging. Read our summary from a recent event, the Athens... |
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Data Quality Practice Assessment and Project Planning ToolUse this tool to perform a detailed assessment of your organization's data quality practice capabilities and identify gaps that will direct your overall data quality... |
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Data Lineage Diagram TemplateUse this template to create a data lineage diagram – a tool that will help give context to data quality issue root cause analyses and solutioning. |
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Data Quality Problem Statement TemplateOne of the biggest challenges in data quality is determining the actual data quality problem. Use this template to identify the data quality problems that are facing the... |
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BI Strategy and Roadmap TemplateUse this template throughout this project to document findings as you conduct and complete assessments and key ideas and opportunities for your BI program. |
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Build a Data Pipeline for Reporting and AnalyticsData management has distinct phasing. Fitting all phases inside a single data warehouse environment creates an unmanageable monster. Instead, think of creating a... |
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Build a Data Pipeline for Reporting and Analytics – Executive BriefRead this Executive Brief to understand why it is important to switch from squeezing all your data management activities into the enterprise data warehouse environment to... |
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