Martyn Richard Jones
Our bloke in Brussels, 3rd July 2019
It’s a simple, timeless, human truth; data must adapt or die.
Read between the lines, the writing on the wall, the fat lady singing and the barking dogs at the gate.
Continue reading03 Wed Jul 2019
Posted in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians
Martyn Richard Jones
Our bloke in Brussels, 3rd July 2019
It’s a simple, timeless, human truth; data must adapt or die.
Read between the lines, the writing on the wall, the fat lady singing and the barking dogs at the gate.
Continue reading28 Thu Dec 2017
Posted in All Data, Ask Martyn, Big Data, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, Good Strategy Radio, goodstrat, Inform, educate and entertain., Martyn does, Martyn Jones, Martyn Richard Jones
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Martyn Richard Jones
Gif sur Yvette, 27th December 2017
First, a thought.
Just because it’s there, it doesn’t mean it has to be done. Just because you can, it doesn’t mean that you should. Just because you believe you are right, doesn’t mean that you are not wrong.
07 Sat Oct 2017
Posted in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians
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Martyn Richard Jones, Gif sur Yvette 23rd September 2017

Hi, Friends. As always, it’s great to be able to engage with you again. I am writing to you from the splendorous, wooded and verdant French town of Gif sur Yvette, and I wanted to take this opportunity to address aspects of data for an audience beyond the interests of data management and architecture people.
There is confusion about some of the fundamental aspects of business data, and there shouldn’t. If we strip away all of the boloney, it’s a subject that is quite approachable. In short, ‘it is not rocket surgery’. Continue reading
02 Wed Aug 2017
Posted in All Data, Architecture, Big Data, Big Data Analytics, data architecture, Data governance, data management, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strategy, Inform, educate and entertain., information, Information Management, Information Supply Framework, IT strategy, Knowledge, knowledge management, Marketing, Martyn Jones, Martyn Richard Jones, Sales, structured intellectual capital, wisdom
Martyn Jones
Zurich, Switzerland – 3rd August 2017
If anyone can turn data into knowledge then that person is me.
Let me explain.
I am a data architecture and management professional. For more than three decades I have been acquiring knowledge and experience in the design and delivery of effective data and solutions architectures for a wide range of projects and in a wide range of (mainly large global or regional) enterprise clients.
Therefore I think I can reasonably presume to have built up quite a good personal body of knowledge when it comes to applied data architecture and management.
As well as being a professional in the management and architecture of data, I have also considerable knowledge and experience in the areas of information management, artificial intelligence and knowledge management (structured intellectual capital).
So, what about turning data or information into knowledge? Continue reading
02 Sun Jul 2017
Posted in All Data, Big Data, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians
Afilonius Rex
Dunny on the Wold, 1st July 2017
The 4th big data bullshit is here, and it is completely reimagining the way we conceptualise, think and reason. This amazingly and imaginary Govesque world is driven by hyperbole and mendacity distributed via interconnected digital devices that are capable of amassing and fermenting ever-growing amounts of big data bullshit.
28 Sun May 2017
Posted in All Data, Big Data, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, humour, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians
Martyn Richard Jones
Talacharn, 28th May 2017
Folks! Here I bring you ten amazing tips from some of Big Data’s great and good. Tips that will help you become the Big Data Rock Star that you have always dreamed of being.
But first, a question.
What’s the sexiest job in the 21st century? Continue reading
18 Thu May 2017
Posted in All Data, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Good Strat, Good Strategy, Good Strategy Radio, goodstrat, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

Martyn Richard Jones
Laugharne 18th May 2017
I read a poster the other, it read “How To Turn Internal User Data Into Revenue”. It was one of those Facebook or LinkedIn hooks, you know, the ones used to get people to spend precious time on useless pursuits.
It reminded me of a book that my mother-in-law bought for my partner, many, many moons ago. “How to make a mint whilst you snooze”, or some such wacky title.
13 Sat May 2017
Posted in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, SMILES, TEAM, The Amazing Big Data Challenge, The Big Data Contrarians
This is the draft version of TEAM 0.1
The TEAM 2.0 version will be published in June 2017.
This will by far the best and most streamlined and comprehensive analytics and (big) data framework that has ever existed in the life-time of IT.

Many thanks for reading.
09 Tue May 2017
Posted in All Data, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, Good Strategy Radio, goodstrat, Inform, educate and entertain., IT strategy, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians
Martyn Richard Jones
Dublin 9th May 2017
Weighed down with data?
Inundated with information?
Overstrained with knowledge?
Intimidated by wisdom?
Don’t despair!
Relief from all of this is just be around the corner, in the shape of the next revolutionary inflection point in IT. Yes, as you might have guessed it by now. I am talking about data-less apps. Continue reading
16 Sun Apr 2017
Posted in advertising, All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., Marketing, pig data, Sales, The Amazing Big Data Challenge, The Big Data Contrarians
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Martyn Richard Jones
San Luis Obispo 16th April 2017
Taking a Pop at Traditional Data WarehousingPitch: 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.” Continue reading