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  • Distinguishing Data Vault Modeling from System Mastery

    Distinguishing Data Vault Modeling from System Mastery

    Daniel Linstedt

    This article examines the critical distinction between mastering Data Vault modeling techniques and achieving comprehensive system mastery within enterprises. It identifies an authority fracture where decision rights and accountability are misaligned, undermining governance and operational control. The discussion highlights recurring patterns that reveal systemic failure, including fragmented funding and inconsistent enforcement. Through scenario analysis and…

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  • AI in Analytics – Reshaping Insight

    AI in Analytics – Reshaping Insight

    Daniel Linstedt

    AI in Analytics: How Intelligence Is Reshaping Architecture, Data Flow, and the Future of Insight There’s a quiet shift happening in enterprises everywhere—a shift that feels less like a trend and more like a turning point. At first glance, it looks like “AI for analytics,” but once you look beneath the surface, you see something…

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  • From the Desk of Dan: Poison Data

    From the Desk of Dan: Poison Data

    Cindi Meyersohn

    With the advent of OpenAI and ChatGPT, it is easier than ever for bad actors to add Poison Data to the public collective. Why should you care?

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  • Data Vault, Data Mesh, and Polysemes

    Data Vault, Data Mesh, and Polysemes

    Cindi Meyersohn

    For those who are familiar with ‘Data Vault’ and are curious about ‘Data Mesh’, you may be asking yourself if any synergy exists between the two.  I’m happy to say that there is beautiful symmetry between the two. Data Vault is a proven methodology for building an analytic solution end-to-end from the businesses’ perspective; in…

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  • Unlock Conceptual Models: Bridge Strategy and IT with Extended Ontologies

    Unlock Conceptual Models: Bridge Strategy and IT with Extended Ontologies

    Daniel Linstedt

    Discover the transformative power of mastering conceptual models. Elevate your business strategy and seamlessly integrate IT solutions with our cutting-edge insights on extended ontologies.

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  • Unlocking Flexibility: Mastering Scalable Data Modeling

    Unlocking Flexibility: Mastering Scalable Data Modeling

    Daniel Linstedt

    Embracing Many-to-Many Relationships in Data Modeling: A Technical Guide PREFACE: there is another false belief out there: Many-to-many (links, pits, bridges) are bad and lead to join hell, and should never be used.  WRONG…. want to know why?  read on.  Note: anyone who claims “LINKS ARE BAD” or “MANY-TO-MANY should never be used” needs to…

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  • Maximize Success with Data-Driven Insights

    Maximize Success with Data-Driven Insights

    Daniel Linstedt

    Explore the strategic importance of evolving data relationships and their impact on data-driven insights in our latest blog post. Learn how shifts in business rules require significant re-engineering, affecting data management and decision-making. Essential reading for executives and business analysts, this discussion highlights the need for adaptable data practices to maintain competitive advantage in a…

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  • Poison Data and Espionage, AI, ML, Deep Learning

    Poison Data and Espionage, AI, ML, Deep Learning

    Daniel Linstedt

    In Episode 2 of Unlocking the Data Vault, I mentioned the term: Poison Data.   I must admit, it’s a cool term, and I also admit the term is not mine.  It stems from espionage in an attempt to poison data that feeds AI / ML and deep learning algorithms.  It distorts documents, imagery, video, and…

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  • From the Desk of Dan: Understanding MetaOps

    From the Desk of Dan: Understanding MetaOps

    Daniel Linstedt

    From the Desk of Dan: Understanding MetaOps MetaOps is a critical aspect of data management and analytics, especially in large organizations with complex data ecosystems. It helps organizations to better understand their data assets, reduce the risk of data breaches or errors, and improve the efficiency and effectiveness of data-related processes. MetaOps professionals are responsible…

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  • Positive and Negative Impacts of AI Machine Learning

    Positive and Negative Impacts of AI Machine Learning

    Daniel Linstedt

    While the craze of AI has been dominating several minds these days, there are two sides to reality that the majority of folks aren’t prepared for or don’t know the answer to. The first of course is that it’s not there yet. And, the second is that it’s getting there at an unprecedented pace. Nevertheless,…

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