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Tag Archives: Business

Agile at Scale is Bullshit by Design – The Guardian

24 Tue Feb 2026

Posted by Martyn Jones in agile, agile@scale, All Data, Architecture, Assets, awareness, behaviour, business strategy, Creativity, Dogma, IT strategy, Strategy, structured intellectual capital, Value

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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.

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Consider This: In Praise of Shadow-Apps – 2026/02/16

15 Sun Feb 2026

Posted by Martyn Jones in Inform, educate and entertain.

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AI, app-development, Artificial Intelligence, Business, digital-marketing, diy, end-user-computing, euc, self-sufficiency, shadow-apps, technology


Here We Go Again!

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.

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Building the Data Logistics Hub: Pieces and Parts – 2026/02/15 – Part 3

14 Sat Feb 2026

Posted by Martyn Jones in data mesh, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., information, Information Supply Framework, Knowledge, knowledge management, Martyn Jones, Masterclass

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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


OLYMPUS DIGITAL CAMERA

This is the brave new world of data!

Martyn Rhisiart Jones

Bandoxa, 15th February 2026

Building the Data Logistics Hub: Pieces and Parts – 2026/02/15 – Part 3

Guide

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.

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Building the Data Logistics Hub: The Strategy – 2026/02/14 – Part 2

14 Sat Feb 2026

Posted by Martyn Jones in data mesh, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., information, Information Supply Framework, Knowledge, knowledge management, Martyn Jones, Masterclass

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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


OLYMPUS DIGITAL CAMERA

This is the brave new world of data!

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.

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Solucionando el Dilema del Almacén de Datos

13 Fri Feb 2026

Posted by Martyn Jones in Inform, educate and entertain.

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AI, Artificial Intelligence, aws, azure, Business, chatgpt, Data Warehouse, Data Warehousing, databricks, ia, inteligencia-artificial, oracle, snowflake, technology, tecnologia


Martyn Rhisiart Jones

Madrid, sábado 7 de febrero de 2026

Libros de Martyn Rhisiart Jones: https://www.amazon.es/stores/author/B086K5B97Y

¿Qué decir?

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».

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Building the Data Logistics Hub: The Challenges and Opportunities – 2026/02/13 – Part 1

13 Fri Feb 2026

Posted by Martyn Jones in data mesh, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., information, Information Supply Framework, Knowledge, knowledge management, Martyn Jones, Masterclass

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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


OLYMPUS DIGITAL CAMERA

This is the brave new world of data!

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.

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Building the Data Logistics Hub: Easy Introduction – 2026/02/12 – Part 0

12 Thu Feb 2026

Posted by Martyn Jones in data mesh, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., information, Information Supply Framework, Knowledge, knowledge management, Martyn Jones, Masterclass

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agility, AI, Artificial Intelligence, Business, data hub, data-logictics-hub, data-on-demand, data-sharing, digital-marketing, dlh, protection, security, technology


  1. Home
  2. Business
  3. Page 3

This Is Going To Be Absolutely Fabulous!

Martyn Rhisiart Jones

Bandoxa, 12th February 2026

Hold up there for a moment. Have I got something for you!

I may not be the father of Information Centres. I’m certainly not going to claim any of Bill Inmon’s achievements as my own. However, I have spent a professional lifetime wading in the data and information garlic. So, I do claim a rightful share of the credit.

And I am rightfully credited with founding the Data Logistics Hub design movement.

In an era where data is the lifeblood of organisations, it fuels decisions and powers AI. It enables innovation. It drives competitive advantage. The ability to move, integrate, share, and utilise that data efficiently has become a strategic imperative. Yet many enterprises still struggle with fragmented pipelines and siloed sources. They face compliance headaches and latency issues. There is also the sheer complexity of connecting data across clouds, on-premises systems, partners, and ecosystems.

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Data Warehouse Action: Big Business Drivers

11 Wed Feb 2026

Posted by Martyn Jones in Inform, educate and entertain.

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Tags

AI, Artificial Intelligence, Business, Data Mart, Data Warehouse, digital-marketing, drivers, imperatives, technology, urgency


Masterclass on the side!

Martyn Rhisiart Jones

Madrid, Saturday 31st January 2026

Martyn: The Enterprise Data Warehouse should be driven by business demand and nothing else.

Ed: What does that mean in practice?

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Fixing the Data Warehouse – 2026/02/10

10 Tue Feb 2026

Posted by Martyn Jones in Inform, educate and entertain.

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Tags

AI, Artificial Intelligence, Business, chatgpt, data-drama, data-lies, digital-marketing, honesty-is-not-a-feature, Information and Technology


Martyn Rhisiart Jones

Zamora, Tuesday 10th February 2026

What to say?

I was reading an article. It was written by Jeff Wilts and recommended by Bill Inmon. I got to this statement: “Teradata is a full-featured enterprise data warehouse.”  For me, it went further downhill from there.

It was very disheartening and deceptive. I decided to write an article about my thoughts on it. (Understanding the Data Warehouse Dilemma – 2026/02/07, https://goodstrat.com/2026/02/06/understanding-the-data-warehouse-dilemma-2026-02-07/).

As a result, many people approached me. They asked directly and indirectly if I would suggest ways and means to overcome or avoid those dilemmas.

This is the result.

Enjoy! But even better, let me know what you think.

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Big Data With Bigger Smiles – The Chef’s Choice – 2026/01/28

08 Sun Feb 2026

Posted by Martyn Jones in Big Data, Big Data Analytics, Business Intelligence, Cambriano, Data Supply Framework, Martyn Jones, Martyn Richard Jones, Methodology, Process, SMILES, Strategy, Uncategorized

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Tags

AI, Artificial Intelligence, Big Data, big-smiles, Business, data, Marketing, technology


Martyn Rhisiart Jones, Madrid 28th January 2026

I would like to introduce you to a pragmatic approach to Big Data and Big Data Analytics. It is real-world focused and business-centric. This is the best approach to Big Data you are ever likely to find. Yet, I am still significantly understating the magnificent utility. It is also timely and has all the pertinent facets of the approach.

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