Marty Richard Jones
Mountain View, 19th January 2017
“I’ve been accused of vulgarity. I say that’s bullshit.” – Mel Brooks
If you enjoy this piece or find it useful then please consider joining The Big Data Contrarians. Continue reading
19 Thu Jan 2017
Posted in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, disinformation, governance, Inform, educate and entertain., information, Information Management, Information Supply Frameowrk, Information Supply Framework, pig data, The Amazing Big Data Challenge, The Big Data Contrarians
Marty Richard Jones
Mountain View, 19th January 2017
“I’ve been accused of vulgarity. I say that’s bullshit.” – Mel Brooks
If you enjoy this piece or find it useful then please consider joining The Big Data Contrarians. Continue reading
19 Thu Jan 2017
It’s not something I have thought about a lot. But, apropos of nothing, a question came to mind. That question, as if you couldn’t guess by now, was “why do I like LinkedIn?”
Well, here is my first attempt at addressing this question.
I really like LinkedIn because:

Sunny Guadalajara
18 Wed Jan 2017
Posted in All Data, Big Data, Big Data 7s, Big Data Analytics, business, Business Intelligence, business strategy, dark data, data architecture, Data governance, Data Lake, data management, 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
New York City, 18th January 2017

Blue sky for professional data architecture and management
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. Continue reading
01 Sun Jan 2017
Posted in accountability, agile, All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians
Big Data Predictions for 2017You want Big Data predictions for 2017?
You’ve got ’em!
These are my Big Data, Data Warehousing and Analytics extrapolations for 2017. They are based on extensive, exhaustive and enigmatic work carried out by top-notch researcher gurus at Cambriano Energy, between December 2015 and December 2016.
So, stick with us as we survey the landscape that will be Big Data in 2017. Continue reading
17 Sat Dec 2016
Posted in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians
Big Data on the Edge
This is all about data governance, time-and-place utility and striving to do the right, things right, first time and every time.
First up. Having been responsible for R&D in this area in the eighties I can honestly say that Analytics ‘on the edge’ is nothing new. So this is leading edge, not bleeding edge.
That stated, the big ‘Big Data’ vendors are finally catching up with the concept of data processing ‘on the edge’, a late adoption which has been accompanied by a flurry of fluffy and content-averse articles hailing this “new” (actually it isn’t new at all) approach to Big Data, the Internet of Things and Analytics ‘On The Edge’.
10 Sat Sep 2016

Martyn Richard Jones
Dublin, 10th September 2016
Theresa May, as Prime Minister of Her Majesty’s Government, has overall responsibility for organising the United Kingdom’s retreat from the European Union.
But, Theresa May has a problem, she doesn’t appear to have a detailed plan for Brexit, at all.
09 Fri Sep 2016
Martyn Richard Jones
Mountain View, Friday 9th September 2016
Although I am not a Labour voter, I, like many people across the UK, have been following the Labour Party leadership debates, which have seen the incumbent Labour leader Jeremy Corbyn and Labour MP Owen Smith battling it out in public. And although it’s not up there with Itchy and Scratchy, it still provides some surprisingly irritating entertainment interspersed with facts, fiction, Pontypandy bitchiness and Islington exasperation.
08 Thu Sep 2016
Martyn Richard Jones
Bamberg, 8th September 2016
Months have passed since the United Kingdom held its European Union membership referendum which resulted in a ‘win’ for the pro-leave Brexiteers. Yet the strongest signal coming out of London is that the government is stalling; playing for time. Clearly, as yet, the government hasn’t worked out in any real, concrete or detailed terms what it should be doing or where the country should be going or what it can even say to the array of stakeholders and interested parties. Which, given that Brexit is by far the biggest constitutional challenge in my lifetime, is quite problematic.
03 Sat Sep 2016
![[000547]](https://goodstrat.com/wp-content/uploads/2016/09/000547.jpg?w=629&h=462)
Martyn Richard Jones
San Lorenzo de El Escorial, 3rd September 2016
On the 23rd of June the UK held a popular referendum. The question posed to the people was: “Should the United Kingdom remain a member of the European Union or leave the European Union?” A simple choice between remain or leave.
Leave received more votes than remain, at 52% versus the 48% who voted for remain.
02 Fri Sep 2016
Posted in Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, BS, business strategy, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, satire, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians
Martyn Richard Jones
Langley, 2nd September 2016
Few outside of the big intelligence agencies of the USA, Russia and Andorra know this, but a big part of the success of Operational Excellence at ISIS can be put down to their judicious use of Big Data and Data Science. Or, so say the experts[i].
This will probably come as no surprise to big-gun Big Data gurus such as Bernard Marr, Rab C. Nesbitt or Alan Latchley, or indeed will it appear unusual to the more peripheral and intellectual areas of Big Data ‘guruship’ and Data Scientology, where we may find the likes of Shapiro, Kobielus and Podge and Rodge O’Leprosy.