Hola, soy Ricky Jonesy-Innit, jefe de Becci Boo Investments. La semana pasada nos despedimos de nuestro mejor operador de materias primas. Llevaba años trabajando con nosotros.
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.
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.
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.
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.
Defining Goodstrat.com: A Strategist’s Digital War Room
In the sprawling digital bazaar of 2025 and the impending and interesting 2026, where every second-domain site peddles AI hype, data fakehouse, data mess or crypto snake oil, goodstrat.com stands out as a refreshingly unapologetic intellectual fortress.
It’s not a glossy corporate brochure. It is not a paywalled newsletter farm. It’s the online HQ of Martyn Richard Jones. He is a grizzled data, information and knowledge architect and self-styled “Data Shouterer-in-Chief.” He’s been dissecting the guts of information systems since the dial-up era.
Martyn Richard Jones is primarily known as a strategist. He is also a consultant and author. His expertise lies in the fields of data and information architecture. Additionally, he is involved in business strategy and Artificial Intelligence (AI).
Here is a summary of the public perception and professional profile:
Conjoint analysis is a survey-based statistical technique used in market research that helps determine how people value different attributes (such as features, functions, and benefits) that make up an individual product or service.
Adaptive control is the control method used by a controller which must adapt to a controlled system with parameters which vary, or are initially uncertain. For example, as an aircraft flies, its mass will slowly decrease as a result of fuel consumption; a control law is needed that adapts itself to such changing conditions.
A/B testing is a way of comparing two versions of the same variable, usually by testing a subject’s response to variable A against variable B and determining which of the two variables is more effective. http://en.wikipedia.org/wiki/A/B_testing
Consider this: A company wants to increase the number of users who subscribe to their homepage newsletter. It’s a simple exercise in hypothesis (in this case, speculating) and testing. In this case, the company offers 50% of its users the old subscription page, and they provide the other 50% what they think will attract more subscriptions. They run the test, compare the statistics for the old page to the new page, and make their decisions based on that. A is the old page, and B is the proposed page. It’s that simple.
Pitch: I recently read a report from a data visualisation company on the “Top Ten Big Data Trends for 2017”. This is what they told me “Hadoop is no longer just a batch-processing platform for data-science use cases. It has become a multi-purpose engine for ad hoc analysis. It’s even being used for operational reporting on day-to-day workloads—the kind traditionally handled by data warehouses.” (more…)
Taking a Pop at Traditional Data Warehousing
This is the forward to a strategic paper on ETRM and risk management and reporting.
