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Category Archives: Martyn Jones

Can You Read? Be Honest, Now

15 Tuesday Mar 2016

Posted by Martyn Rhisiart Jones in business strategy, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, Strategy

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Analytics, Ask Martyn, Behavioural Economics, Business Enablement, business strategy, Consider this, Martyn Jones, Martyn Richard Jones, Organisational Autism, Strategy

Martyn Richard Jones

When you have read this, if indeed you read it all, will I have failed to convey the essence of what I am trying to get at? Will a confusion of entropy win the battle? Will the wheel of fortune turn in my favour, or will I fail to connect and communicate effectively?

Let’s give it a spin and see what happens. Continue reading →

Free Business Analytics Content –Thanks to Wikipedia – Part 4

09 Wednesday Mar 2016

Posted by Martyn Rhisiart Jones in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, statistics, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Ask Martyn

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Why buy when you can get it for free?

Back at you! Here is the fourth fantastic delivery of an amazing, fabulous selection of free, widely available business analytics learning content, prepared… just for you. Continue reading →

Free Business Analytics Content –Thanks to Wikipedia – Part 3

08 Tuesday Mar 2016

Posted by Martyn Rhisiart Jones in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strategy, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Process, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Ask Martyn

Image4Why buy when you can get it for free?

Back at you! Here is the third fantastic delivery of an amazing and fabulous selection of free and widely available business analytics learning content, which has been prepared… just for you. Continue reading →

Testing the Data Warehouse

05 Saturday Mar 2016

Posted by Martyn Rhisiart Jones in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, 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

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Ask Martyn, Big Data, Data Warehousing, Martyn Jones, Martyn Richard Jones

Image1Martyn Richard Jones

Dusseldorf, August 2006

Data Warehousing provides possibly one of the best opportunities for IT organizations to deliver a valuable business solution in order to address a set of business needs; requirements that go well beyond the area of day to day operational support, and traditional applications (web enabled or not), and when Data Warehousing is done the right way, and for the right reasons, its payback to all of its stakeholders can be positively significant. Continue reading →

How Hadoop Revolutionised IT

05 Saturday Mar 2016

Posted by Martyn Rhisiart Jones 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, hadoop, Inform, educate and entertain., Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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Ask Martyn

This is the story of how the amazing Hadoop ecosphere revolutionised IT. If you enjoy it, then consider joining The Big Data Contrarians.

Before the advent of Hadoop and its ecosphere, IT was a desperate wasteland of failed opportunities, archaic technology and broken promises.

In the dark Cambrian days of bits, mercury delay lines and ferrite cores, we knew nothing about digital. The age of big iron did little to change matters, and vendors made enormous profits selling systems that nobody could use and even fewer people could understand. Continue reading →

Stories From the Data Warehousing Front-Line

21 Sunday Feb 2016

Posted by Martyn Rhisiart Jones in Big Data, Big Data 7s, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, goodstart, goodstrat, Inform, educate and entertain., Information Management, Information Supply Frameowrk, Information Supply Framework, Inmon, Martyn Jones, Martyn Richard Jones, Strategy, The Big Data Contrarians

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NB THIS IS FICTION

All characters appearing in this work are fictitious. Any resemblance to real persons, living or dead, is purely coincidental.

Data warehousing, what is it like?

Although the answers are probably obvious, and to be honest, compared to the Big Data hype-circus, this is a walk in the park, I have often wondered why Data Warehousing attracts such a surfeit of lazy, socially inept and shallow-thinking chancers. Continue reading →

Real Leaders Know When To Fail

02 Saturday Jan 2016

Posted by Martyn Rhisiart Jones in Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, Martyn Jones, Martyn Richard Jones, Strategy

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“Remembering that I’ll be dead soon is the most important tool I’ve ever encountered to help me make the big choices in life. Because almost everything – all external expectations, all pride, all fear of embarrassment or failure – these things just fall away in the face of death, leaving only what is truly important.” – Steve Jobs Continue reading →

12 Amazing Big Data Success Stories for 2016

22 Tuesday Dec 2015

Posted by Martyn Rhisiart Jones in Big Data, Big Data 7s, Big Data Analytics, Consider this, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, Inform, educate and entertain., IT strategy, Martyn Jones, Martyn Richard Jones, The Big Data Contrarians, Uncategorized

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Big Data, Data Warehousing, goodstrat, Martyn Jones, Martyn Richard Jones

If this piece tickles your fancy, then please consider joining The Big Data Contrarians on LinkedIn:

https://www.linkedin.com/groups/8338976

Every year I ask myself the same question. Will there be any tangible, coherent and verifiable Big Data success stories in the coming year? Every year I come up with nothing. Nothing at all. “Sorry, no rooms at the Big Data Success Inn, as we are closed for vacations.”

However, this year things are different. More positive, more alive and more fantastic. Continue reading →

Big Data: And the Hype Played On

10 Thursday Dec 2015

Posted by Martyn Rhisiart Jones in Big Data, Big Data Analytics, business strategy, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians, Uncategorized

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Ask Martyn

MARTYN RICHARD JONES

Despite the best efforts of Hadoop evangelists, consulting houses, and IT infrastructure and service vendors, Big Data – hailed as the greatest thing since the dawn of greatest things – is failing, and dramatically so, to produce the necessarily corresponding quantity and quality of tangible, detailed and verifiable success stories.
Continue reading →

The Big Data Contrarians At 1000

07 Monday Dec 2015

Posted by Martyn Rhisiart Jones in Big Data, Cambriano, Consider this, Good Strategy, goodstart, goodstrat, Martyn Jones, The Big Data Contrarians, Uncategorized

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Big Data, Martyn Jones

First things first. The Big Data Contrarians (“a hype free Agora for Big Data dialogue”) is now a community of over one thousand professionals. Continue reading →

Big Data Predictions for 2015: What happened next?

07 Monday Dec 2015

Posted by Martyn Rhisiart Jones in Big Data, Big Data Analytics, business strategy, Good Strat, Good Strategy, goodstrat, IT strategy, Martyn Jones, Martyn Richard Jones, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians, Uncategorized

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2015, Big Data, Martyn Jones, Predictions

Towards the end of 2014 I gazed into the amazingly incredible crystal ball called Good Strategy, well known and admired by the readers of the Good Strat Blog, and made some predictions about Big Data for the year to come. The year of the goat. As I write now we are reaching the end of the wonderful year of 2015 – an anno quite-allrightus. So, equipped with good cheer, emboldened by the thoughts of passing the vacations with loved ones, friends and family, and heartened by my impending (albeit temporary) demobilization, I have decided to look back at my predictions of a year ago, to see how accurate or mistaken they ‘have become’, and to share those reflections with you. Continue reading →

The Banality of Big Data Hype

05 Saturday Dec 2015

Posted by Martyn Rhisiart Jones in Big Data, Good Strat, Good Strategy, Inform, educate and entertain., Martyn Jones, Martyn Richard Jones, Rant, Uncategorized

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Good Strategy, Martyn Jones, Martyn Jones Data, Rant

Nauseated by the non-stop crap, railroading and bullying tactics from a reduced group of snotty little techno bastards? Disgusted by the crass propaganda, crude instrumentalisation and fetid boloney from the likes of Bernie, Vinnie, Spats and an attendant entourage of snake-oil merchants and  brain-dead sycophants? Sick and tired of the amazing, incredible and fabulous velocities, varieties and volumes of  Big Data bullshit washing the decks of the SS LinkedIn? Well, be sick and tired no longer. Here is the antidote!

Some interesting Big Data facts to think about this weekend.

I. More Big Data bullshit has been created in the last couple of years, than in the entire history of humankind.
II. Big Data bullshit will grow faster than ever before, in spite of what Gartner say to the contrary.
III. By 2021, if the mega-trending nonsense does not go unabated, there will be 40 megabytes of Big Data bullshit created for every living woman, man and child, every sixty seconds.
IV. Also, in 2021 the accumulated digital universe of Big Data bullshit will grow from 8 spartabytes to 22 marrsabytes.
V. Every second people are thinking about creating new Big Data bullshit. For example, 20 million search queries alone (per minute) are generated with the sole intent of creating even more Big Data bullshit. This is set to grow to over 100 thousand brazilian bulslhit queries per year by 2020.
VI. Every minute an estimated 280 hours of Big Data oriented porn is uploaded to the ‘next greatest thing since sliced bread and butter pudding‘ network.
VII. By 2017 over 1 trillion Big Data bullshitters will be connected via Facebook.
VIII. Facebook usage by Big Data bullshitters will make the current social media scene look like a walk in the bullring.
IX. In 2015, an astounding 1 million trolleyloads of photos were uploaded to the web every single hour of the day. By 2017, nearly 80% of photos taken will include a cameo by one or more smartass Big Data bullshit artist.
X. This year, over 4 billion smartass Big Data bullshitters will be shipped – all packed with communication devices capable of collecting and communicating all kinds of Big Data bullshit, not to mention the Big Data bullshit the amazing Big Data babblers create themselves.
XI. By 2020, we will have over 8 billion Big Data idiot savants (overtaking sentient and rational human beings).
XII. Within five years there will be over 5 billion Big Data smartasses connected in the world, all developed to collect, analyze and share Big Data bullshit.
XIII. By 2020, at least a third of all Big Data bullshit will pass through the bullshit cloud (a network of Big Data bullshit servers connected over the Big Data bullshit Internet).
XIV. Distributed Big Data bullshitting (performing Big Data bullshitting tasks using a network of computers in the cloud) is very real. Google uses it every day to involve about 10 Big Data bullshitters in answering a single search query, which takes no more that 0.2 weeks to complete.
XV. The Hadoop Bullshit Ecosystem (open bullshit software for distributed bullshitting) market is forecast to grow at a compound annual growth rate 299,258% surpassing $111 billion by 2021.
XVI. Estimates suggest that by better integrating Big Data bullshit, we could save as much as $300Bn a year on smoking, drinking and having a wild time. That’s equal to reducing costs by $1000000 a year for every person on earth.
XVII. The White House, who first recognized Big Data as the bullshit it is, has already invested more than $200 in big data bullshit projects.
XVIII. For an archetypal Fortune 1000 company, just a 10% increase in data accessibility will result in more than $650 billion additional net income.
XIX. Retailers who leverage the full power of big data could increase their operating margins by as much as 36,660%
XX. 173% of organizations have already invested or plan to invest in big data bullshit by 2099.

Many thanks for reading. Think about it. I hope you get the message.

The Digital Document Lifecycle

01 Tuesday Dec 2015

Posted by Martyn Rhisiart Jones in data architecture, Data governance, data management, ECM, good start, Good Strat, Good Strategy, governance, Martyn Jones, Martyn Richard Jones, Uncategorized

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Content Management, ECM, Good Strat, Management, Martyn Jones, Strategy

The Digital Document Lifecycle

MARTYN RICHARD JONES

To begin at the beginning

This is a story of the life of a digital document. Its purpose is to explain the process of analysing, designing, building, testing and delivering content rich business artefacts in today’s digital age.

Continue reading →

Big Data with BIG SMILES

23 Monday Nov 2015

Posted by Martyn Rhisiart Jones in Big Data, Big Data Analytics, Business Intelligence, Cambriano, Data Supply Framework, Martyn Jones, Martyn Richard Jones, Methodology, Process, SMILES, Strategy, Uncategorized

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Having got your attention I would like to introduce you to a pragmatic, real-world and business centric approach to Big Data and Big Data Analytics. When I say that this is the best approach to Big Data you are ever likely to find in the whole universe and in your entire life, I am still significantly understating the magnificent utility, timeliness and the here-and-now facets of the approach. Continue reading →

STRAIGHT TALK: Is LinkedIn Worse Than Facebook?

17 Tuesday Nov 2015

Posted by Martyn Rhisiart Jones in Martyn Jones, Professional Networking, Social Media, Uncategorized

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Martyn Jones, Professional Networking, social media

To begin at the beginning

I know. I know! Who the hell poses a question like that? Is LinkedIn Worse Than Facebook? Who can say? Or, as my great auntie, Werner von Braun might have said, “If you are dumb enough to ask such a question, then you will surely be too stupid to understand a credible answer”.

I have seen it a lot over the years, perfectly irrational people posing perfectly cogent and simple questions, and then not being able to answer those questions themselves. It is good to see logic and good sense prevail, even if the observables are marginally more surreal than mundane.

Now me. I quite despise the whole Facebook shtick, but because so many of family, friends an acquaintances use it, I feel almost compelled to be there, even if in spirit only. It doesn`t help either that some of the founders of the social media biz had and have such goddam awful personalities, scummy little twerps for which adjectives such as nasty, mean-spirited and ruthlessly exploitative don’t even begin to give one a good picture.

But, do I think that LinkedIn is worse than Facebook?

A bit like your favourite grandma telling a very rude joke, the number one reason is quite simple. Just as no one expected The Inquisition, so no one expects LinkedIn to be worse than Facebook, and when the realization hits the fan, it’s even more alarming, because in no small part, it’s so unexpected. Whereas when it comes to Facebook, no one expects any better, so it doesn’t disappoint, at least, not to anything like the same degree.

Students of Seneca will realise straight away that this is the case, and even understand why it’s such a more disappointing experience to be mugged by social media that seems to be used by professional and ethical people like us, which creates a false sense of security and an expectation that quite often results in serial disappointment and disenchantment.

But, clearly this is not going well.

I can tell I´m not getting far with the angle I adopted for this piece. I know that because I tried this approach at a consulting gig quite recently at a theatre in Barcelona, and although a small part of the crowd quickly got what I was trying to convey, albeit they were an intelligent and radical underground, the majority just looked at me, like a happy-pack of expectant puppies waiting for the magic word. Therefore, I expect you are doing the very same thing right now.

Am I right, or am I right?

I probably have a flawed, jaded and perhaps overly-severe notion of concepts such as professionalism, ethics and quality of life, an outlook that also finds resonance in my views on professional social media and online networking, and those who plumb these depths.

Everyone can lie, cheat, misrepresent, trick, fool and befuddle, but I prefer to think that as professionals we could also do the same, in our own interests, but that we consciously chose not to.

Which is why I am appalled by those self-styled professionals who go out of their way to give misleading, erroneous and harmful advice on a wide range of subjects. When this happens down the pub it’s to be taken with a huge pinch of salt. When people use what is ostensibly taken as a serious professional networking site and experts’ platform to deceive, beguile and scam those who know no better.

What about the motivational advice that will drag peoples’ moral down to the level of their shoe laces?

What about the leadership advice that will get people into hot water and possibly get them fired?

What about bamboozling bullshit babblers who use their faux-expertise to railroad the susceptible, gullible and impressionable into committing, time money and effort to embrace crack-pot ideas and embrace untenable projects?

What about the detritus that glibly sells delusional bullshit and harmless fantasy as liberation, career-advancing and life-changing?

Why is it that economic power, military power, matchless arrogance, wilful ignorance and cultural imperialism go hand in hand?

Take another look yourself if you don’t believe me. Look at the leadership pieces, the motivational pieces, the life-style pieces, the sports pieces, the cracker-barrel racist, sexist and classist shit flogged as legitimate political opinion. Dig deep. Embrace thought and reason. Learn or hone critical thinking. Then you too will be able to ask the searching questions, if you aren’t doing so already. Get in there and ask! What is this bullshit? How the hell am I going to speak with my boss, me partner, my children, etc. like that without really losing out? Why is Big Data for everyone? Why should I care about IoT? What in the name of Sam Adams is my personal data doing on the Cloud? What the fuck do those who live cocooned in their self-imposed ‘Culture of Contentment’ know about my problems, my difficulties, my family, my family and friends, my community and my world?

Is there anything else?

However, not all is lost, and you can continue in the world of social media without exposing yourself to any nasty surprises. The solution is easy. Either do not partake or set your expectations very low, especially in the case of the hype and bullshit infested networks.

Still don’t see it?

In that case, just ask yourself this question: what was better, the Black Death or the bubonic plague?

All it now needs are for the music to come in and the credits to roll, European art-house cine style, as I leave with a “there you have it”.

There you have it. A blog piece that not only reflects on the levels of triteness, opportunism and boring nature of a pseudo-professional and achingly postmodern web site, but a representative piece that also tries to embody all of that banality, manipulation and awkwardness in less than one thousand words. I hope that this piece provided some food for thought, if nothing much else.

Many thanks for reading.

Big Data, analytics and 4th generation data warehousing by Martyn Jones at Big Data Spain 2015

13 Friday Nov 2015

Posted by Martyn Rhisiart Jones in All Data, Big Data, Data Supply Framework, Good Strat, Inform, educate and entertain., informatio Supply Framework, Martyn Jones

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4th generation data warehousing, Analytics, Big Data

Big Data, a promised land where the Big Bucks grow

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in Big Data, Data Lake, data science, Martyn Jones, Martyn Richard Jones

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Big Data, Martyn Jones

B

Consider this: Many people come up to me in the street, and, apropos of nothing, they ask me how they can make money from Big Data.

Normally I would send such people to see a specialist – no, not a guru, but a sort of health specialist, but because this has happened to me so many times now, I eventually decided to put pen to paper, push the envelope, open up the kimono, and to record my advice for posterity and the great grandchildren.

So, here are my top seven tips for cashing in quick on the new big thing on the block.

1 – A business opportunity for faith

Like every new religion, trend or fad, Big Data has its own founding myths, theology and liturgy, and there is money to be made in it; loadsa lovely jubbly money. By predicating and evangelising Big Data you will be welcomed with open arms into the Big Data faith, and will receive all the attendant benefits that will miraculously and mysteriously fall upon you and your devout friends. Go on, I dare you. Be a Big Data guru, a shepherd to a flock of sheep, and enjoy the wealth, health and happiness that most surely will come your way. You too can look cool in red Prada slippers, a flattering and flowing gown and matching accessories.

2 – Acquire it, multiply it, weigh it, mark it up and sell it on

Simply stated, this is about acquiring other people’s data, by sacred means or profane, marking it up and then selling it on. The value you add is that you act as a trusted conduit, a conduit for good. You may care to enrich the data, swop the order of data, replicate and embellish data, make stuff up, etc. which all serves to ‘add value’ to the data. You may even consider adding nuggets of value to the data, just for kicks and giggles. My best friend’s favourite is injecting the good old ‘diaper and beer’ and ‘friends and family’ clichés into every Big Data collection, as it never fails to thrill, please and delight.

3 – Anything can be anything

The good thing about making money from Big Data is that it doesn’t need to be anything to do with Big Data. Make a 20GB Enterprise Data Warehouse? Call it a Big Data success. Sell 20 boxes of dodgy doughnuts down the alternative market? Proclaim a Big Data triumph. Sell your digital porn stash to your best mate? Point to the incredible invisible hand of the Big Data market at work. See what I’m doing there. Anything can be anything, and you too can cash in on that opportunity, big time.

4 – Big Data Patronage

Tense, nervous headaches? Do you like making up stories about Big Data, or for that matter anything else? Are you a natural born fibber but are strapped for cash? Then worry no longer. If you get a Big Data patron you will be sorted for ‘life’; get two and you’ll be sorted for the afterlife as well. With a Big Data patron you can get the most tenuous, crappiest and superficial of pieces published, promoted and vaunted – globally. Can’t make it up yourself, then outsource and offshore it, after all, just get the keywords right for SEO ranking and the gullible will flock to you in droves. The down side of this profession is that you will be targeted for writing half-truths, quarter-truths and downright lies, and you will be pilloried as a purveyor of rank hyperbole. But don’t worry, take heart and never lose the faith, you will be in good company. As one Big Data guru was want to say ” If you repeat a lie often enough, people will believe it, and you will even come to believe it yourself.” Amen! brother.

5 – Big Data Certification

By 2016 there will be global demand for 30 billion Big Data professionals. Are you prepared to cash in on that inevitability? No? Then consider this.

One of my best friends makes his living as a completely phony Big Data Scientist. For two hundred bucks he can make you a Data Scientist or a Big Data guru. Some guys give you an education but this guy gives you immediate access to high paying jobs, sex and a life in the city. Moreover, for an extra 250 bucks you can also become a certified Big Data Trainer, which will allow you to do unto others what has been done unto you.

6 – Creative Technology Reuse

Big Data has heralded in the biggest innovations known in the history of computing, and arguably in the entire history of humankind. One of those new inventions has been the now widely acclaimed and revolutionary ‘flat file data base’ (FFDB), and this has been accompanied with developments in low level operating system primitives that allow for the processing of these collections and hierarchies of FFDBs. So, if one has a mind to do so, one can get some real business leverage off of these new tendencies by borrowing 21st century technology found in old operating system hacks from the sixties and seventies and eighties and nineties and… Well, the point is that in order to get serious funding it is no longer good enough to have a half page business plan, it is also necessary to eke out ‘stuff’ that works within the new paradigms of Big Data and Big Data Analytics. For my next venture I will be looking for serious funding for my ‘Arbitrary Dawdle Down Data Street’ (AD3S) Big Data Analytics platform, a platform designed to support virtual 1k bit processing and the massively parallel provision of global regular expression search and match (S&M), concatenation and listing, and cooperative data-driven and streamed data extraction and reporting. I’m hoping to attract the attention of governments, the EU, the Manic Street Preachers, the UN, China, Vladimir Putin, the DOD, HP, Oracle, Gartner, Lana Del Rey, Deloitte and IBM. So, this is going to be absolutely massive. Word!

7 – Big Data Brokerage

According to leading management consultants and industry watchers Gartner, McKinsey and Deloitte, data needs to be managed and accounted like any other asset, such as money. To get into a similar view-point requires a massive leap of faith, but it is a conversion that might drive dividends. One avenue to be explored in eking out value from the apparently massively valuable Big Data lakes, silos and pools is through the operation of a Big Data Brokerage. A Big Data Brokerage is a business whose main responsibility is to be an intermediary that puts Big Data buyers and Big Data sellers together in order to facilitate a transaction. Big Data Brokerage companies are compensated via commission after the Big Data transaction has been successfully completed. They may also charge introductory fees. Just imagine the wealth of business opportunities in that. You could become the Goldman Sachs of data.

That’s it folks!

I hope you enjoyed this piece and would be pleased to hear your views on this and other subjects.

Whilst I understand the attraction and even the need of creating a new and significant growth industry, I would also advise a degree of restraint, and whilst I see that “Big Data” (the consideration of the potential value of All Data) has its allure, I also think that some good sense and informed caution should also prevail.

Thank you so much for reading.

Martyn Richard Jones

Spain, 2015

Influencers worth having: Part 1

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in goodstrat, Martyn Jones

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goodstrat, influencers, Martyn Jones

I do not like being spoon-fed; it’s just not my thing. This is good for me, but not so clever for the professional thought leaders who want me to feel the love and accept their guidance and power. Continue reading →

STRAIGHT TALK: Leadership 7s

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in Good Strategy, goodstrat, Inform, educate and entertain., Martyn Jones

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goodstrat, leadership, Martyn Jones

AD: — JOIN THE BIG DATA CONTRARIANS: http://www.linkedin.com/grp/home?gid=8338976

To begin at the beginning

Here are the second seven talking points in this series that deal with aspects of leadership, coaching and management. Enjoy! Continue reading →

The Big Data Shell Game

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in All Data, Big Data, Cloud, Data Lake, data science, Inform, educate and entertain., IoT, Martyn Jones

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Big Data, data science, Martyn Jones

To the experienced observer, Big Data propaganda may well appear to be a disorganised surfeit of half-truths, sleights of hand and boloney. Indeed, the once famously alliterative characterisation of Big Data as defined by volumes, variety and velocity, seems now more appropriately applied to the quantity, invariability and quality of the incessant self-aggrandising hype, hokum and Hadoop being astro-turfed by every dog and his guru. Indeed, the very fact that such an inevitable mega-trend needs so much hype, disingenuousness and spin to support its passage to universal applicability, is a massive contradiction, a disservice to professionals, and an artless deception worthy of our criticism and condemnation. Continue reading →

I lied about Big Data! Have an issue?

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in Big Data, data science, Data Supply Framework, Inform, educate and entertain., Information Supply Framework, Martyn Jones, statistics

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Big Data, Martyn Jones

In a city centre office block, somewhere in Scotland, the conversation between the IT Business Manager (Bill) and the Information Management Manager (Richie) is in full swing,, Bob is irate because his successfully delivered data mart has been derided as unusable rubbish by the business people it was meant to serve.

Let’s join the conversation:

Bill: I hate this job. Every time we try and help the business all we get back are complaints. Complaints because it’s not what they want, complaints because it’s in the wrong format, complaints because of the cost, or the performance, or the availability. All we get are complaints, complaints and complaints.

Richie: Well, to be fair, Little Bill, this was one clearly avoidable situation. We didn’t have to build the data mart.

Bill: I know what you’re thinking, but you are wrong. We had to do something. Anything.

Richie: I don’t agree, Little Bill, we always had the option of doing nothing.

Bill: And why would we do nothing?

Richie: Because. as I said at the time, Little Bill, without demand you don’t create supply, and at this level and on this scale, if you want to create supply, you first encourage demand. But it’s still fundamentally about meeting demand.

Bill: But, things don’t work like that in this organisation.

Richie: I think you will find that in fact that approach works remarkably well, Little Bill, and in almost any type of organisation. The problem is one of perception, if it has never been tried before there is no internal reference to whether it works or not, and of course repeating the mistakes of the past with absolute security, if better than doing something correct, but unproven in this setting.

Bill: No, I still think you fail to understand the nuances of this business.

Richie: You may well be right, Little Bill, but clearly if we really understood the even the nuances of the business, then we wouldn’t have wasted time on this effort, an effort that one of the business executive described as the expensive manifestation of an abject failure to understand the fundamentals of the business.

Bill: They said that?

Richie: Yes, they certainly did, Little Bill.

Bill: Well, if that’s the case then they clearly don’t know what they are talking about.

Richie: As may be the case, but that doesn’t help us either.

Bill: So, you with all of your ‘knowledge and experience’, what do you suggest?

Richie: I suggest that we take a proactive approach to encouraging demand.

Bill: Such as?

Richie: Well, I would revisit the recommendations that I made when I first joined this department.

Bill: Okay, just remind me of the key points.

Richie: We need part of IT to understand business process, and our business processes; in effect we need people who know the business of the business. These should be people who talk to the business in language the business understands, has a good grasp of a vast array of issues, and who can be confident in their everyday dealings with business.

Bill: But, the business always thinks it knows best, how will these people succeed where we have almost always failed in the past? They think we overly complicate things; they virtually try and tell us how to do our jobs.

Richie: That’s why we need people who can communicate with authority, persuasively and with ease, not from a basis of mistrust, lack of empathy and even disdain. We need people who can sell ideas, can frame discussions and articulate coherent and realisable proposals for business IT solutions using language the business grasps the first time. We need people who understand what is said, can lead discussion and can capture requirements in a way that IT can also understand.

Bill: But the refuse to talk to us.

Richie: Well, that’s perhaps rather unsurprising from people who seem to think they have articulated the same requirements to us, and repeatedly, over an extended period of time. The problem is that we have very rarely documented those requirements, and when it has happened it has not been in a way that business can understand and verify, they can’t take any of our requirements and actually understand them without resorting to a translator, so they don’t do it.

Bill: Okay, so apart from blaming IT, what do you suggest?

Richie: The first hurdle seems to be simple. We need to convince the business that we actually have something worth listening to, that we aren’t going back to waste their time, yet again.

Bill: And?

Richie: So, what I suggest is this. Part of my team will spend time on investigating existing and new technologies, methods and approaches and how these are applied in similar industries or even dissimilar settings, but with certain synergies. They will have a good grasp of the business but their focus will be on understanding technology and relating it to project opportunities within our business. They will then work with our Business Consultants to actually articulate, explain and sell the benefits of these ideas to the business.

Bill: This, as I have repeatedly told you, is what we do now.

Richie: I don’t think so, Little Bill. There is a marked difference between what we do now, with the “look what a marvellous data mart we have made for you, it has data and lots of menu options, and graphics and stuff” versus the “we would like you to that allows you to be able to identify tangible cross-selling opportunities between various lines of business and with a high degree of certainty, this driving increased revenue, and increased customer intensity, and therefore loyalty… and repeat business”

Bill: So, we go begging the business for projects, with silver-tongued rhetoric.

Richie: No, Little Bill, we give the business what it wants. They are our customers, and as any business person should know, giving the customers what they want is a sure fire route to success.

Bill: Yes, but it would never work here. We are a very conservative company.

Richie: If the rest of the organisation was that conservative, we wouldn’t even be in business.

Bill: So what happens if the business says yes?

Richie: The business consultants and the research consultants work with the architecture consultants in socialising the business requirements and in developing solutions architecture (or a domain architecture), and as part of this they will also interact with the enterprise architecture consultant. So at some point, we will have a Business Requirements document, an IT requirements document, and an IT / Business Process Architecture document, and a Project Proposal document. Then the Business Requirements document – including detailed financials, together with the Business Project Proposal are socialised with the business, and submitted to them for review and approval. We then negotiate.

Bill: You make it sound easy.

Richie: You have to know what you’re doing, and there is logic to it all, but it’s far more rewarding than working on projects that invariably fail to satisfy.

Bill: So, when do we get started on all of this…?

Richie: As soon as you want, Little Bill.

So as we leave Bill and Richie to hammer out the details of the new approach, what can we take-away from this piece of business voyeurism?

I sincerely believe that the hardest job of any data warehousing professional, at least one worthy of the name, is in convincing sometimes even senior IT management of the need for doing the right thing right, of the possibility of doing the right thing right, and of the dangers of confusing ignorance and wishful-thinking with pragmatism.

So, make sure you get an expert, that your expert really is a professional, is absolutely ethical and that they really know their stuff, and when they don’t know, will not try and pretend that they do know, then trust in their professionalism, judgement and expertise, even if you then verify what you are told – and please, don’t verify this knowledge with a charlatan, spend more money and get the verification of a trusted and proven expert. Do this, and in this way and you won’t go far wrong.

Many thanks for reading.

Oh, and one last thng…

According to SAP “Big Data is the ocean of information we swim in every day”. I disagree; Big Data hype is the ocean of crap that we have to navigate through every second of every day.

Moreover, SAP contribute to that shite.

In a big way.

So, not only do we have Software aus Polen, we have Big Data aus Polen. With apologies to the great Polish IT professionals I know and respect.

Champion!

SAP! Mend your ways.

The choice is yours.

Many thanks for reading. 

10 amazing reasons to join The Big Data Contrarians

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in All Data, Big Data, Consider this, Inform, educate and entertain., Martyn Jones, Martyn Richard Jones

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Big Data, goodstrat, Martyn Jones

You love data. You eat, breathe and sleep data! You source it, clean it, integrate and then analyse it until it confesses. You represent, invent and present results. Data is your life and Big Data is your prophet. The Big Data Big Top is the place to be, and (passively) that is where you are headed. For you, Big Data drives everything we do! Is that the case?

Yes?

No worries, in spite of all of that, you too can also be a useful member of The Big Data Contrarians.

Continue reading →

Not banking on Big Data?

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in All Data, Big Data, data science, Inform, educate and entertain., Martyn Jones

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Big Data, goodstrat, Martyn Jones

First, a request, please consider joining The Big Data Contrarians.

I have worked with clients across the entirety of financial industry for most of my career, and although this may surprise some people, I believe that I fully understand why they are being conservative about Big Data in general and Hadoop in particular. I can also understand why some people want to keep up or even ramp-up even more the Big Data market buzz, but with such a dearth of meaningful, well described and verifiable Big Data ‘success stories’, neither the banks nor I are going to be speculating in any big way on Big Data or Hadoop, anytime soon.

Based in Spain for almost three decades, I have been up close and intimate with a few of the biggest players in the Spanish financial industry. Indeed, Spanish banks have not only lead the way in the effective, innovative and business driven use of technologies in the Spanish market, but have applied that financial industry nous around the world.

In recent times, the big financial players in Spain have entered into the Big Data fields and stratospheres. From what I know, which may not be all, or so much, they are still watching and investigating rather than putting tangible things in production. Nevertheless, there are some interesting Big Data application ideas floating around the financial world. These are still relatively early days for Big Data in finance, and it will take some time for the hype to fade away and the cream of financial Big Data to rise to the top.

However, it has happened before.

If there was ever a country that quietly, diligently and consciously implemented Data Warehousing and Business Intelligence, then it has been Spain. Spanish companies were not only early adopters but also early beneficiaries of implementing Data Warehousing. Not for nothing did Bill Inmon’s company Prism Solutions chose Madrid as a major hub for its European Data Warehousing consulting, sales and support activities. Bill being the father of Data Warehousing and Prism being one of his commercial babies.

As an aside, at Prism I had the opportunity of working alongside fantastic professionals and great people with knowledge, values and experience, such as Don and Katherine. That great gig, I will never forget.

Which brings me to this.

I knew what Data Warehousing would be good for, and amplified this knowledge through reasonable, rational and coherent ways of addressing a wide range of requirements. My aim was to support my claims with coherent, simple and verifiable examples of Data Warehousing success stories.

I knew how to explain Inmon’s Data Warehousing, in business, management and technical terms. I saw when a company could benefit from DW and also when a company was not ready for DW. However, try as I might, I cannot achieve the same intensity of understanding with Big Data. Believe me I have tried.

I’m not a contrarian just because, but isn’t it about time the Big Data BS babblers put up or shut up?

So, if you are like me, then join The Big Data Contrarians.

Many thanks for reading.

Big Data is Bullshit

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in All Data, Big Data, Data Lake, Inform, educate and entertain., Martyn Jones

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Big Data, goodstrat, Martyn Jones

“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:

Join The Big Data Contrarians here: https://www.linkedin.com/grp/home?gid=8338976

Being brutally honest, Big Data is bullshit. Not only is Big Data bullshit but it comes with a surfeit of pranksters, pundits and prissy big data bullshit-babblers, all willing (cue narration by Morgan Freeman) to “big-up Big Data in a vulgar, ill-mannered and predictably nauseating dance of professional-hustling… as old as time.”

However, is all Big Data bullshit? Is it all a fad, a load of old tripe and a confusion of weasels together with their surfeit of weasel words? Or, is there something of value, substance and tangibility to be found amongst the volumes, velocities and varieties of brazen and opportunistic self-aggrandizement, toxic speculation and opinions and unverifiable miracles?

For Google, Facebook and Twitter, Big Data certainly isn’t BS. For example, Google rely on Big Data as the biggest irreplaceable element in their colossal advertising business – so I am lead to believe. A business that accounts for more than 90% of Google’s revenue. So clearly, for the masters of web-based unstructured and complex search, Big Data is an essential element in their business model. The biggest essential element by far.

However, let´s be honest, we should consider the obvious. How many of us are really going to do business like Google?

Big Data technology and service vendors benefit tangibly from the Big Data movement, at least this is the impression that I get. Indeed, there is much talk about the relationship between Big Data, the Hadoop ecosphere and the big wild world of open source, but what is more interesting is that companies are bringing in revenue on the back of Big Data by offering battle-hardened business and enterprise versions of open source software. Then there is the business in consulting, with such a demand for Big Data gurus, Master Data Scientists and Number Conjurors, there must presumably be real people working in these roles, and paid handsomely for doing so.

But apart from the ‘success’ associated with the foundation of so many Big Data start-up businesses and the market-based commitment of some of ITs’ ‘great and good’ to the new digital zeitgeist of data volumes, velocities and varieties, just where are the other success stories of Big Data coming from?

To help us in our quest, I earlier compiled a not-so-exhaustive list of Big Data success stories, celebrity-chef like, to help us out. Here are some of the Big Data gems that I managed to track down:

  • Thanks to Big Data, the taxi service alternative channel Uber is making massive waves and shaking things up in the transport sector.
  • By leveraging Big Data AirBnB is turning the hospitality business on its head, and what´s more, making friends, and influencing people as they are doing so.
  • Amazon would not be what they are today if it were not for Big Data, in fact, without Big Data, they would be nothing.
  • One of the industries that will suffer revolutionary transformation because of Big Data will be the banking industry.
  • Big Data will increase the GDP of the USA by at least 1% or more, and the Spanish GDP could likewise add an additional 1%, for similar reasons.

These would be all great headlines for Big Data success stories, apart from one small flaw. None of them is exactly a Big Data success story in the Big Data defining characteristics of volumes, varieties and velocities of mainly unstructured data or in terms of the Hadoop technological kitchen-drawer ecosphere.

Something is happening, and it is not exactly legitimate. Can you guess what it is yet?

When it rains it pours, and when it rains Big Data hype it quickly turn into a monsoon of cloying hysteria. Spotting and pointing at Big Data bullshit babblers on forums like LinkedIn Pulse, Forbes and Information Management is no fun, unless your fun is nuking a school of intellectually challenged fish floundering in a barrel of vintage Malmsey.

However, it not only is no fun, but also more times than not it is a complete and utter waste of time trying to get people to adopt a more critical approach to thinking. Because for every Big Data bullshit babbler, there is a battalion of intransigent Big Data believers stuck in untenable and absurd positions, marooned from reason and ways back to rationality. You can’t use logic against belief, and you can´t turn back a rising tide of IT refugees who are desperately seeking succour in the apparently safer-havens of Big Data, Data Science and Data-driven voodoo.

Only the other day I read that “The emergence of Big Data is now allowing CEOs to increasingly base decisions on current “reality” rather than past experience, but the risks in the integrity and fullness of the data that they are “seeing” and “hearing” is often a barrier to getting a clear picture of what is actually going on.” This is really taking shameless baloney and wilful ignorance to all new heights, but it doesn’t stop there.

Elsewhere another eminent Big Data bullshit babbler wrote, “Clearly big data and AI will change almost every industry this decade… but none more than these”, referring vaguely and vacuously to “Healthcare, Finance and Insurance”.  What species of shameless and fatuous willy-waving goes so far out on a limb that it becomes massively removed from even being a grandiose and beguiling ‘bigging-up’ of a fad?

Finally yet importantly, I almost choked on my supersized Big Data popcorn the other day when I read, “Today, with the rise of the Internet, we capture “data” on everything.  Therefore, the new term “Big Data” is honestly like 1985 again.  But this time, Big Data will actually be really big and by some forecasts, be a $40 billion industry by 2018.”

This is not hype, it is not even simple deceit, it is astroturfing of 22 carat bullshit, and in most cases it’s clearly deliberate, it´s intentional and it´s grossly misleading. So why do people do it?

Given that Big Data is very much a niche technology, with very much a niche appeal, why do so many buffoons go around pretending that Big Data is for all of us? Like as if it was some sort of digital universal-panacea, when at the moment, and at best, it is a walk on bit-player with just a couple of lies who aspires to B actor status. In this sense, at present Big Data isn´t even the hero´s best friend.

Before I close the piece, I will leave you with the thoughts of Dan Ariely. Why? Because it just irritates the hell out of a section of the community of Big Data bullshit babblers, and it´s actually very accurate. Here it is:

“Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it…”

Many thanks for reading.

In subsequent blog pieces I will be sharing my views on the evolution of information management in general, and the incorporation novel and innovative techniques, technologies and methods into well architected mainstream information supply frameworks, for primarily strategic and tactical objectives.

As always, please reach out and share your questions, views and criticisms on this piece using the comment box below. I frequently write about strategy, organisational, leadership and information technology topics, trends and tendencies. You are more than welcome to keep up with my posts by clicking the ‘Follow’ link and perhaps you will even consider sending me a LinkedIn invite if you feel our data interests coincide. Also feel free to connect via Twitter, Facebook and the Cambriano Energy website.

For more on this and other topics, check out some of my other posts:

Looking for your most valuable data? Follow the money – http://www.itworld.com/article/2982352/big-data/looking-for-your-most-valuable-data-follow-the-money.html

Stuff a great data architect should know –http://goodstrat.com/2015/08/16/stuff-a-great-data-architect-should-know-how-to-be-a-professional-expert

Big Data, the promised land where ‘smart’ is the new doh!–https://www.linkedin.com/pulse/big-data-promised-land-where-smart-new-doh-martyn-jones?trk=prof-post

Absolutely Fabulous Big Data Roles –https://www.linkedin.com/pulse/absolutely-fabulous-big-data-roles-martyn-jones?trk=prof-post

Not banking on Big Data? – https://www.linkedin.com/pulse/banking-big-data-martyn-jones?trk=prof-post

10 amazing reasons to join The Big Data Contrarians –https://www.linkedin.com/pulse/10-amazing-reasons-join-big-data-contrarians-martyn-jones?trk=prof-post

Amazing Data Warehousing with Hadoop and Big Data–https://www.linkedin.com/pulse/cloudera-kimball-dw-building-disinformation-factory-martyn-jones?trk=prof-post

The Big Data Contrarians: The Agora for Big Data dialogue–https://www.linkedin.com/pulse/big-data-contrarians-agora-dialogue-martyn-jones?trk=mp-reader-card

The Big Data Shell Game – https://www.linkedin.com/pulse/big-data-shell-game-martyn-jones?trk=mp-reader-card

Aligning Data Warehousing and Big Data –https://www.linkedin.com/pulse/aligning-data-warehousing-big-martyn-jones?trk=mp-reader-card

Big Data Luddites – https://www.linkedin.com/pulse/big-data-luddites-martyn-jones?trk=mp-reader-card

Data Warehousing Explained to Big Data Friends –https://www.linkedin.com/pulse/data-warehousing-explained-big-friends-martyn-jones?trk=mp-reader-card

Big Data, a promised land where the Big Bucks grow –https://www.linkedin.com/pulse/big-data-promised-land-where-bucks-grow-martyn-jones-6023459994031177728?trk=mp-reader-card

The Big Data Contrarians – https://www.linkedin.com/pulse/big-data-contrarians-martyn-jones?trk=mp-reader-card

Is big data really for you? Things to consider before diving in–https://www.linkedin.com/pulse/big-data-really-you-things-consider-before-diving-martyn-jones?trk=mp-reader-card

Big Data Explained to My Grandchildren –https://www.linkedin.com/pulse/big-data-explained-my-grandchildren-martyn-jones?trk=mp-reader-card

If you enjoy this piece or find it useful then please consider joining The Big Data Contrarians:

Join The Big Data Contrarians here: https://www.linkedin.com/grp/home?gid=8338976

Many thanks, Martyn.

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