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    • About Gary Allemann
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  • Don’t Cry Wolf: The Power of Data in Urgent Situations

    Data organization, crisis management, problem-solving, Hans Rosling, Factfulness. Learn how organizing data can improve decision-making in urgent situations and prevent panic reactions. Practical steps and insights included.

  • The Power of Right Data: Relevance and Accuracy in Decision-Making

    Drowning in data but not getting clear insights? This post explains the crucial difference between relevant and accurate data, and provides practical steps to improve your data quality.

  • PIM vs. MDM: Decoding Your Data Management Needs

    Explore the distinctions between Product Information Management (PIM) and Master Data Management (MDM). Discover their unique functions, data domains, and use cases to determine the best fit for your organization.

  • Building Trust: Key Components of a Robust Data Integrity Framework

    Don’t let compromised data derail your business. Discover the key components of a data integrity framework to ensure trustworthy and reliable data throughout its lifecycle.

  • Unleashing the Power of Data: Why Data Stewards Need to Think Like General Managers

    Empower your data stewards to drive better decisions, innovation, and efficiency. This post explores how treating them as “general managers” unlocks the true potential of data.

  • Understanding Master Data and Reference Data: Two Pillars of Data Management

    Master data and reference data are crucial for data management. This post explains their definitions, key differences (stability, purpose, examples), and how they work together to support business operations

  • Data Governance as a Disruptive Innovation: Applying Lessons from The Innovator’s Dilemma

    Struggling to implement effective data governance? This post reveals how applying lessons from “The Innovator’s Dilemma” can help you overcome resistance and build a strong foundation for data governance success. Discover the power of a “heavyweight” team.

  • We Created an AI Data Scientist

    We built an AI-powered data scientist to automate analytics, but instead, it just complains about messy data! Read our hilarious journey with AI-DS-9000 and its relentless quest for data purity.

  • Data Fabric – Reshaping Master Data Management

    Struggling with MDM? Discover how data fabric can improve data governance, integration, and accessibility, while understanding potential pitfalls.

  • How Data Governance Helps Mitigate Technical and Data Debt

    Learn how effective data governance helps reduce both technical and data debt by establishing standardized practices, improving collaboration, ensuring data quality, and promoting automation. Enhance efficiency and decision-making with strong data management strategies.

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Data Quality Matters

Data Quality Matters

Data integrity – Unlock the value in your enterprise information asset

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