09 Mon Mar 2026
Posted in Inform, educate and entertain.
The Editorial Team
Here are the most important lessons you can learn from goodstrat.com. These are distilled from the site’s essays, blog posts, and strategic frameworks around data, governance, and technology.
08 Sun Mar 2026
Posted in Inform, educate and entertain.
Tags
AI, Artificial Intelligence, Business, finance, Marketing, science, social media, technology, trump
By Samantha Sterling Parker, Spanish FT Weekend
Madrid, Monday 9th March 2026
To say that Martyn Jones’s Revealing Wealth is merely a book about tax evasion is like saying the Large Hadron Collider is just a fancy pipe. This is a manifesto for a digital revolution, a technical blueprint for global equity, and a provocative call to arms that arrives just as the old financial order begins to crack.
Below is a look at this seminal work through three distinct editorial lenses.
Continue reading08 Sun Mar 2026
Posted in Inform, educate and entertain.
By Samantha Sterling Parker, Long FT Weekend
Madrid, Monday 9th March 2026
Book Review: Revealing Wealth: Combatting Tax Evasion with Data, Political Will and Technology by Martyn Jones
In an age defined by algorithms, trillion-dollar tech companies, and data flowing across borders at the speed of light, one of the oldest problems in civilisation persists: how the wealthy avoid paying their share of tax. In Revealing Wealth, Martyn Jones argues that the real scandal is not simply that tax evasion exists, but that in a data-rich world we still allow it to thrive.
Continue reading02 Mon Mar 2026
Posted in Inform, educate and entertain.
Tags
AI, Artificial Intelligence, bullshit, chancers, chatgpt, clowns, cretins-rule-the-world, fascist, genocide, grifters, infanticide, nazi, technology
Martyn Rhisiart Jones
Madrid, Monday 2nd March 2026
Oh, for fuck’s sake, Dirndal Barr, you gleaming beacon of LockedOut futurism, you’ve done it again. March 2, 2026, the snow’s still settling on the Davos chalets, the private jets are queuing for takeoff like taxis at a funeral, and here you are, posting your pre-packaged “What Are The Real Questions Leaders Will Be Asking At Davos 2026?” like it’s some brave exposé rather than the world’s most expensive press release. You’re not a futurist, Benny. You’re a futurist-shaped content mill with 5 million followers who all clicked “Follow” in the hope you’d one day say something that wasn’t sponsored by the ghost of McKinsey.Let’s start with the official theme: “A Spirit Of Dialogue”. Beautiful. Nothing screams authentic conversation like locking up 3,000 of the richest, most insulated people on earth in a Swiss village so they can talk about how the rest of us should talk better.
Continue reading24 Tue Feb 2026
Tags
agile, AI, Artificial Intelligence, bullshit, Business, dailyprompt, education, fuck-off, Marketing, safe, safee, science, scrum, social media, technology
Martyn Rhisiart Jones
Madrid, Wednesday 25th February 2026.
Seven years on, the verdict is in, and it’s not flattering. Back in 2019, in a Brussels-fuelled rant channelling the incomparable Bob Hoffman, I declared Agile at Scale the next frontier of IT bullshit: immature, ill-conceived, supercilious, and emphatically not agile. It killed communication with jargon, turned criticism into heresy, and mangled history by ignoring what actually worked. I called it a cultish Frankenstein of Scientology zeal, Vatican pomp, and authoritarian quirks – all wrapped in vainglorious slide decks.
Continue reading15 Sun Feb 2026
Posted in Inform, educate and entertain.
Tags
AI, app-development, Artificial Intelligence, Business, digital-marketing, diy, end-user-computing, euc, self-sufficiency, shadow-apps, technology
Martyn Rhisiart Jones
Oza-Cesuras, Sunday 15th February 2026
In the quiet underbelly of corporate life, sanctioned software often lags behind real needs. Shadow apps, which are unsanctioned tools employees adopt on their own, continue to flourish. Nowhere is their value more pronounced than in data analytics. Teams quietly sidestep lengthy procurement and rigid platforms. They harness spreadsheets, personal BI instances, open-source scripts, and cloud sandboxes. Far from mere rebellion, these shadow practices reveal institutional shortcomings while delivering tangible gains. Here are seven compelling advantages, viewed through a lens that values both ingenuity and measured reflection.
We asked seven highly engaged professionals for their top advantages of allowing Shadow Apps to thrive. We then requested comments from industry leaders. And here is what they told us.
Continue reading14 Sat Feb 2026
Tags
agility, AI, Artificial Intelligence, Business, chatgpt, cloud, data architecture, Data governance, data hub, data management, Data Warehouse, data-logictics-hub, data-logistics-hub, data-marketing, data-on-demand, data-sharing, devops, digital-marketing, dlh, dw, protection, security, technology
Martyn Rhisiart Jones
Bandoxa, 15th February 2026
Building the Data Logistics Hub: Pieces and Parts – 2026/02/15 – Part 3
This episode provides a comprehensive framework for the third installment in the series on the Data Logistics Hub (DLH). Martyn Jones conceptualised it as a technology-agnostic, centralised platform. Its purpose is efficiently moving, governing, and distributing data across organisations. This part expands on Part 1 (Challenges and Opportunities) and Part 2 (The Strategy). It focuses on the tangible “pieces and parts” of the DLH architecture. It outlines mandatory and optional elements. The episode also explores potential technologies. It examines key processes such as data pulling or pushing, translation from source to target, mapping, and data catalogues.
Continue reading14 Sat Feb 2026
Tags
agility, AI, Artificial Intelligence, Business, chatgpt, data architecture, Data governance, data hub, data management, Data Warehouse, data-logictics-hub, data-logistics-hub, data-marketing, data-on-demand, data-sharing, digital-marketing, dlh, dw, protection, security, technology
Martyn Rhisiart Jones
Bandoxa, 14th February 2026
Building the Data Logistics Hub: The Strategy – 2026/02/14 – Part 2Before I begin, remember this: “All data roads lead to the Data Logistics Hub.” They also lead from it. It is the Rome of the age of data, information, knowledge, and wisdom. Be prepared!
Okay, we will now examine the Data Logistics Hub in terms of strategy, execution plans, and roadmaps.
A high-level blueprint for a successful Data Logistics Hub outlines several requirements. These include principles, guiding objectives, an imagined “better world” and organisational alignment. Key trade-offs must also be considered, such as centralised versus federated and batch versus streaming, among others.
Continue reading13 Fri Feb 2026
Posted in Inform, educate and entertain.
Tags
AI, Artificial Intelligence, aws, azure, Business, chatgpt, Data Warehouse, Data Warehousing, databricks, ia, inteligencia-artificial, oracle, snowflake, technology, tecnologia
Madrid, sábado 7 de febrero de 2026
Libros de Martyn Rhisiart Jones: https://www.amazon.es/stores/author/B086K5B97Y
Estaba leyendo un artículo escrito por Jeff Wilts y recomendado por Bill Inmon. Llegué a esta afirmación: «Teradata es un almacén de datos empresarial con todas las funciones». Para mí, la cosa fue aún más cuesta abajo a partir de ahí.
Pero esto fue el golpe de gracia: «Databricks es una plataforma de datos unificada que puede comportarse como un almacén de datos».
Continue reading13 Fri Feb 2026
Tags
agility, AI, Artificial Intelligence, Business, data hub, Data Warehouse, data-logictics-hub, data-logistics-hub, data-on-demand, data-sharing, digital-marketing, dlh, dw, protection, security, technology
Martyn Rhisiart Jones
Bandoxa, 13th February 2026
In this episode, we begin by honestly examining the pain points that make data logistics so difficult today. The challenges are siloed data and systems. There are also many data interchange point solutions. Quality is inconsistent, and there are security and compliance barriers. Additionally, data volumes are exploding. We then explore the transformative opportunities. These include faster time-to-insight and seamless collaboration across teams and organisations. The opportunities also feature monetisable data products and AI-ready flows.
Continue reading
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