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Models represent the real world and make it more understandable. Data models play the same role and are a powerful communication tool for the IT professional and business...
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To drive future data growth we must move toward a well-developed data marketplace and Data-as-a-Service (DaaS) framework.
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Transparency, 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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Your reporting and analytics strategy must support the organization’s strategy – it provides direction and requirements for data accumulation, augmentation, and...
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Governments 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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One 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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Use 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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Use 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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Use 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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This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you identify data pipeline components.
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