Strategy & Operating Models

  • Zero Trust Reality Check: Questions to Assess Data and AI Defensibility

    Zero Trust Reality Check: Questions to Assess Data and AI Defensibility

    This article helps executives evaluate the credibility of Zero Trust claims in data and AI environments. It highlights how confidence often exceeds the available proof, exposing gaps in enforcement and accountability. The diagnostic questions focus on contemporaneous evidence, ownership clarity, and semantic consistency. These issues reflect predictable outcomes of scaling complex controls without explicit governance.…

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  • What Is a System of Information Management and Why Governance Alone Cannot Provide Defensibility at Scale

    What Is a System of Information Management and Why Governance Alone Cannot Provide Defensibility at Scale

    A System of Information Management (SIM) is an enterprise capability that integrates people, processes, and technology to preserve data meaning, lineage, and accountability over time. Governance frameworks alone express intent but lack the operational mechanisms to provide auditable evidence and sustain defensibility at scale. As organizations grow and adopt AI-driven analytics, risks of definition drift…

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  • From Data Platforms to Information Systems: The Shift Analytics Has Yet to Make

    From Data Platforms to Information Systems: The Shift Analytics Has Yet to Make

    This article examines the systemic authority fracture hindering the evolution from data platforms to integrated information systems in enterprise analytics. It highlights how misaligned decision rights and accountability create persistent fragmentation, deferred decisions, and operational friction. The analysis includes observable patterns that reveal this failure mode and a realistic scenario illustrating its impact on funding…

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  • Why Modern Analytics Fails to Scale Sustainably

    Why Modern Analytics Fails to Scale Sustainably

    Modern analytics initiatives often fail to scale due to a systemic fracture between decision rights and accountability. This misalignment leads to fragmented ownership, repeated rework, and deferred decisions that undermine sustainable growth. The core issue lies in governance and operating model design rather than technology alone. Understanding this fracture clarifies why technology upgrades alone cannot…

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  • Maximize Success with Data-Driven Insights

    Maximize Success with Data-Driven Insights

    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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  • Centralized vs Decentralized Architecture

    Centralized vs Decentralized Architecture

    By Mark Budzinski Centralized vs Decentralized Architecture is a topic we have been discussing in our podcast and blogs lately. We often like to frame the discussion of centralization as a war, an either/or focused on the versus in the middle. Because of this, the flaws of both sides are brought to the forefront: on

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