This podcast highlights elements from the comprehensive book Your Unseen Operating Model by Elizabeth A. Henderson on modern data leadership. Focusing on the hidden inefficiencies that cripple corporate performance. The author argues that most organisations suffer from an "unseen operating model" comprised of manual workarounds, shadow spreadsheets, and disconnected systems that she terms "data debt." Structured as a thirty-day transformation roadmap, the material provides senior executives with practical frameworks to diagnose these issues, such as the "friction tax" calculation and the "so what?" test. Henderson emphasizes that before companies can successfully adopt artificial intelligence or quantum computing, they must first repair their "organisational nervous system" to ensure data integrity. Ultimately, the source serves as a strategic manual for building sovereign enterprises capable of making clear, confident decisions in an increasingly complex technological landscape.

Your Unseen Operating Model can be purchased from Amazon here: https://tinyurl.com/Your-Unseen-Op-Model

In this episode we explore the disconnect between boardroom reporting and project reality, specifically regarding data and technology initiatives. Executives and boards often receive misleading "green" status updates because reporting systems prioritise hitting milestones rather than achieving meaningful business outcomes. This systemic issue leads to the "Friction Tax," an invisible cost incurred by companies operating with poor-quality data and inefficient manual workarounds. The discussion suggests that leaders must move beyond simple approval and instead ask critical questions about post-launch problems and long-term value realisation. Ultimately, the source highlights that data failures are often leadership problems caused by a lack of specialised literacy at the highest levels of governance.Taken from the original article:

https://lizhendersondata.wordpress.com/2026/05/16/the-board-was-updated-every-month-nobody-asked-the-right-question/

The podcast examines the modern strategic approach to data governance, arguing that persistent technical failures are actually rooted in organisational culture rather than a lack of advanced tools. I suggest that while technology has evolved from index cards to artificial intelligence, businesses continue to struggle because they fail to establish clear human accountability and ownership. AI cannot fix poor data quality automatically, as human context remains essential for interpreting nuanced information accurately. To break this cycle, leaders are encouraged to prioritise data literacy across all departments and treat information as a vital business asset instead of an isolated IT project. Ultimately, the emphasise is that long-term digital success depends on building a foundation of trust and responsibility rather than simply investing in the latest software.Taken from the original article:

https://lizhendersondata.wordpress.com/2026/05/25/from-index-cards-to-ai-why-we-are-still-fighting-yesterdays-data-battles/