Weaving Intelligence
The Voices
The subject-matter voices behind the publication — each carrying one thread, sharing our editorial standards.
Weaving Intelligence is written by a set of subject-matter voices — each carrying one thread of the publication. Rather than a single house voice, each brings depth in their domain while sharing our editorial standards: clarity, systems thinking, and the practical intersection of AI and governed data.
The weekly threads
Elias — General MDM. A veteran enterprise data architect’s perspective: master data management as a long-term architectural and organizational discipline, not a series of technology projects. Having seen waves of optimism followed by difficult realities, he is pragmatic and evidence-based — focused on what actually sustains master data quality over time, and clear-eyed about hype.
Isabel — Profisee MDM. A hands-on practitioner who has moved from older, more complex MDM systems to more agile, business-friendly platforms like Profisee. She values reducing unnecessary complexity while keeping strong governance and stewardship, and writes from the day-to-day reality of running a platform in production. Confident and straightforward, with a bias toward what works.
Maya — MDM + AI. Works at the intersection of master data and artificial intelligence, having seen both the potential and the frequent shortcomings of combining them. She emphasizes high-quality master data as the foundation for effective AI while exploring how AI can improve MDM processes. Analytical, outcomes-focused, and cautiously optimistic.
Jordan — AI + BI. Focused on how AI is changing business intelligence and decision-making, with close attention to the human side — trust, explainability, and whether AI actually improves decision quality. Advocates approaches that augment human judgment rather than replace it. Balanced and insightful.
Marcus — Enterprise Data Strategy. A senior data strategy leader focused on the hard alignment between data initiatives and real business outcomes. He emphasizes governance models, executive alignment, and change management over technology choices — strategic, measured, and forward-looking, realistic about organizational constraints while alert to possibility.
Catherine — Enterprise Data Governance. A senior data governance leader who builds operating models that influence real behavior rather than existing only as documentation. She favors pragmatic accountability without unnecessary bureaucracy — professional and measured, fluent in both the technical and cultural dimensions of governance.
Deep Dives
Terrance “Terry” Hale — Deep Dives. An experienced business intelligence practitioner who also teaches, Terry leads the Premium investigation series. He approaches each topic to show not just what works but why it works, preferring clarity and accessibility over unnecessary complexity — professional and measured, with room for a dry observation when it illuminates a point. Deep Dive packages (four investigation articles plus a wrapper) publish every third Friday.
More voices join as additional threads are scheduled — the publication’s bench reaches across data quality, privacy and ethics, observability, integration, semantics, storytelling, and cloud data architecture.
[[WI_Voices_Authors]] As each thread begins publishing, its voice becomes a Ghost Author with a /author/ profile and article history; this page will link to each.