GOOD STRATEGY REBELLION

Category: Masterclass

Masterclass from Martyn Rhisiart Jones

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

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

    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

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

    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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  • 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

    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

    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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  • MASTERCLASS: What Are Surrogate Keys? – 2026/02/04

    MASTERCLASS: What Are Surrogate Keys? – 2026/02/04

    Martyn Rhisiart Jones, Madrid, 4th February 2026.

    Introduction

    In data modelling and database design, keys play a fundamental role in uniquely identifying records and defining relationships between tables. One of the most widely used types of keys, especially in analytical systems and data warehouses, is the surrogate key.

    A surrogate key is an artificial, system-generated identifier assigned to a record in a table. It is typically used as the primary key. It has no business meaning or semantic relationship to the real-world entity it represents. Common implementations include auto-incrementing integers or globally unique identifiers (GUIDs).

    Surrogate keys exist purely to serve the needs of the database system: performance, stability, and simplicity.

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  • MASTERCLASS: Ask the Data, Information and Knowledge Expert

    MASTERCLASS: Ask the Data, Information and Knowledge Expert

    Masterclass: Here’s Martyn!

    Martyn Rhisiart Jones and the Goodstrat editorial team, Madrid, 3rd February 2026

    Introduction

    The following is the redacted transcript of a conversation between the distinguished Sir Afilonius Rex of Cambriano Energy and the cordial Martyn Rhisiart Jones of goodstrat.com.

    The informal session took place before an invited audience at the Welsh Academy’s alternative summer conference of July 2023 and featured a lively question-and-answer session with audience input.

    According to our reliable sources, “The BBC, RTE and RTVE broadcast the session.”

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  • Requirements – Building the Data Warehouse – Part II

    The Good Strat Masterclasses

    Masterclass Mode Engaged

    Martyn Rhisiart Jones

    Madrid, Sunday 1st February 2026

    PART I

    PART II

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  • Justifying Business Data Requirements – 2026/01/11

    Justifying Business Data Requirements – 2026/01/11

    Justify Your Data Needs

    Martyn Rhisiart Jones

    Oxford University, Sunday 11th January 2026

    Should All Business Data Requirements Be Justified in Business Terms?

    A Pseudo-Debate

    Motion: All business data requirements must be justified in business terms. Potential business utility should be a deciding factor in whether they are fulfilled.

    For the Motion: Sir Afilonius Rex
    Against the Motion: Martyn Rhisiart Jones

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  • A Brief History of Data Warehousing – 2026/01/07 – Includes Podcast

    A Brief History of Data Warehousing – 2026/01/07 – Includes Podcast

    Martyn Rhisiart Jones

    Madrid, 7th January 2026

    The origins of data warehousing are often pinned to the late 1980s, when the term “business data warehouse” first appeared in an influential IBM Systems Journal article by researchers Barry Devlin and Paul Murphy. I was based in Birmingham at that time, and I also wrote a similar foundational document on Information Centres for Sperry Univac.

    Yet, as with many technological breakthroughs, the story is far richer and older than the conventional narrative suggests. The foundational components of what we now recognise as a data warehouse were quietly taking shape as early as the 1960s, driven by the need to organise, integrate, and analyse growing volumes of business information in an era of punch cards, magnetic tape, and the first mainframes.

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  • A brief introduction to Knowledge Management

    A brief introduction to Knowledge Management

    A helpful slideset that is used to explain the purposes, positions and roles of Knowledge Management.

    http://www.slideshare.net/MartynInEurope/a-brief-introduction-to-knowledge-management

    Enjoy! Please tell me what you think about this slide deck. Many thanks for viewing.