GOOD STRATEGY REBELLION

Tag: Artificial Intelligence

  • Solucionando el Dilema del Almacén de Datos

    Solucionando el Dilema del Almacén de Datos

    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

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

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    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

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

    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 WORLD: Data Warehouse Action: Big Business Drivers

    DATA WORLD: Data Warehouse Action: Big Business Drivers

    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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  • DATA WORLD: Fixing the Data Warehouse – 2026/02/10

    DATA WORLD: Fixing the Data Warehouse – 2026/02/10

    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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  • DATA WORLD: The Risks of Using Databricks for Data Warehousing

    DATA WORLD: The Risks of Using Databricks for Data Warehousing

    Get that Databricks Out of My Face!

    Martyn Rhisiart Jones

    Madrid, Monday 9th February 2026

    You need not loathe Databricks outright. It is perfectly defensible if you do. This is particularly true when your principal objective is classical data warehousing. This includes structured BI reporting, dependable SQL analytics, and a governed single source of truth for business metrics. It also entails semantic clarity and predictable costs for read-heavy workloads.

    There are solid, well-trodden reasons for that caveat. Many experienced data warehousing practitioners see Databricks as an awkward or even risky primary platform for traditional warehousing. This view is shared by some of the field’s foundational figures. The concern is not ideological. It is architectural. When used as a warehouse, Databricks often reproduces exactly the pathologies criticised in enterprise data programs. These include unnecessary complexity, misdirected effort, and the perennial executive question, “Which number should I trust?”

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  • DATA WORLD: Big Data With Bigger Smiles – The Chef’s Choice – 2026/01/28

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

    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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  • CEO BRIEFING: Agile at Scale is Bullshit by Design – Remastered and Revisited – 2026/01/27

    CEO BRIEFING: Agile at Scale is Bullshit by Design – Remastered and Revisited – 2026/01/27

    Martyn Rhisiart Jones

    Bruxelles, 28th May 2019

    To begin at the beginning

    To paraphrase the great Bob Hoffman. Just when you feared that Agile evangelists might produce even more nonsense, they surprise you. What do they do? Exceed expectations.

    And how did they do that? Ladies and gentlemen, let me introduce you to Agile at Scale. It comes with all the miscellaneous, spiced-up, and vainglorious crap-on-the-side that accompanies it.

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  • CEO BRIEFING: What Every CEO Needs to Know About Big Data – Revisited – 2026/01/26

    CEO BRIEFING: What Every CEO Needs to Know About Big Data – Revisited – 2026/01/26

    Martyn Richard Jones

    New York City, 18th January 2017

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    Blue sky for professional data architecture and management

    Scope

    I’ll make this short, sweetish and to the point.

    These are the arguments that CEOs need to know about Big Data.

    It was written for CEOs and those who provide independent advice to CEOs.

    If you are someone who wants to be prepared for CEOs who are armed with the realities of Big Data, then maybe this is for you too.

    Point One: Big Data is bullshit

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  • DATA WORLD: Understanding the Data Warehouse Dilemma – 2026/02/07

    DATA WORLD: Understanding the Data Warehouse Dilemma – 2026/02/07

    Martyn Rhisiart Jones

    Madrid, Saturday 7th February 2026

    Books from Martyn Rhisiart Jones https://www.amazon.es/stores/author/B086K5B97Y

    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.

    But this was the coup de grace: “Databricks is a unified data platform that can behave like a data warehouse.” 

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